The Finance Lens

Don’t Start a SIP Until You Understand These 7 Risks

Smita — Sun, 01 Nov 2026 03:00:54 GMT

Welcome to today’s read; let’s make this simple and useful.

I have a small problem with the way SIPs are promoted.

Show people how much money they can accumulate in 20 years, add a nice graph, and everyone is happy. Invest ₹10,000 a month and become a crorepati. Sounds simple enough.

But I rarely see the same enthusiasm for discussing what might go wrong.

A SIP is not a magic formula. You are still investing in the stock market, and the stock market does not care how regularly you invest, how long you have been investing, or what your calculator promised you.

I think there are a few things worth understanding before putting that first instalment on autopilot.

1. You might discover that you are not as comfortable with losses as you thought.

Everyone is a long-term investor when the market is going up.

It is easy to say you will keep investing for 15 years. Much harder when your portfolio is down 25%, and every financial news channel seems to have found another reason to be worried.

You start questioning the fund. Then you question the market. Eventually, you question why you invested at all.

I have always thought that this is one of the biggest differences between knowing something about investing and actually experiencing it.

People tell you to continue your SIP during a fall because you get more units for the same money. True. But that doesn’t mean you will feel comfortable watching your savings lose value.

Before deciding on your monthly amount, think about what you would do if your portfolio fell sharply and took years to recover. Not what you think you would do. What you would actually do.

There is no point choosing an aggressive fund if the first serious correction is going to send you running for the exit.

2. Buying more units can still leave you with a loss.

This is where SIP explanations sometimes become a little too cheerful.

Suppose you buy units at an NAV of ₹100. A few months later, the NAV falls to ₹50. Your next instalment buys twice as many units.

Good news?

Only partly.

Your earlier investment has lost half its value. The additional units will help if the fund recovers, but they will not force it to recover.

Investors sometimes talk about falling prices as if they are automatically good for SIPs. I don’t quite agree with that. A lower price is useful only if the investment eventually delivers the results you need.

If the underlying fund is unsuitable or performs poorly for a long time, you can keep accumulating units without getting the outcome you expected.

The number of units in your account is not the same thing as wealth.

3. The return you expect and the return you get can be two very different things.

Take any SIP calculator. Enter your monthly investment, select 15% as the expected return and look at the final amount.

Now change the return to 10%.

Quite a difference, isn’t it?

The calculator has done nothing wrong. You told it what return to assume, and it calculated the result. The trouble is that people often remember the final number and forget the assumption that produced it.

Equity funds do not deliver a fixed return every year. You might get excellent returns for a few years and then spend several years recovering from a decline. The order of returns matters, particularly when you are approaching the date on which you need the money.

And there is inflation. The ₹1 crore you accumulate 20 years from now will not have the same purchasing power as ₹1 crore today.

I would be careful about making financial decisions based on the most attractive number a calculator produces. It is worth knowing what happens if returns are lower than you expect.

That is probably the calculation people should spend more time looking at.

4. Your ₹5,000 SIP might not be enough ten years from now.

When you start investing, ₹5,000 a month might be all you can comfortably manage. Nothing wrong with that. Starting with a manageable amount is better than waiting indefinitely for the perfect time.

But suppose your salary increases over the next ten years and the cost of your financial goal rises as well. If your SIP remains at ₹5,000 throughout, will you still have enough?

Maybe. Maybe not.

The point is that the amount you decided on ten years ago was based on your circumstances at that time. Those circumstances can change considerably.

I would review the amount periodically and increase it when my income allows. A step-up SIP can be useful for this, especially for long-term goals.

Of course, there is no sense in increasing your investment while ignoring emergency savings or expensive loans. But neither does it make sense to assume that a contribution suitable today will automatically remain suitable for the next 20 years.

5. A popular fund is not necessarily the right fund for you.

Investors love looking at returns tables. I understand why. They make comparing funds very easy.

One fund has returned 18%, another 14%, and a third 11%. The choice seems obvious.

Except it isn’t.

What did the first fund invest in? Did it take more risk? Was its performance driven by a particular sector? What happened when the market fell?

These things matter, but they take more effort to investigate than simply sorting a table by returns.

And after a fund has delivered exceptional returns, investors often start buying it because of those returns. Whether the same conditions will continue is another question.

I wouldn’t change funds every year just because another one has performed better. Nor would I keep a poor fund simply because I had been investing in it for ten years.

The reason for owning it matters more than how long you have owned it.

A SIP makes investing regular. It doesn’t make your fund selection correct.

6. You need the money in three years. Why are you taking a long-term risk with it?

Imagine you are saving for a house down payment. You need the money in three years, and equity mutual funds seem like a good way to grow it.

The market rises for two years. Everything looks fine.

Then it falls six months before you need to make the payment.

You can wait for a recovery only if your circumstances allow you to wait. The house payment will not necessarily wait with you.

This is why I would not choose an investment simply because it has the potential to deliver higher returns. I would first consider when I need the money.

Equity can make sense for long-term goals, depending on your circumstances. Money required in the near future is a different matter.

A SIP does not make a volatile investment safe just because you buy it in monthly instalments.

7. Nobody talks enough about getting the money out.

Most SIP discussions end with the final corpus. Invest for 20 years, and you could have ₹1 crore, ₹2 crore or whatever the calculator happens to show.

But what happens when you actually need that money?

Suppose you have accumulated ₹20 lakh in an equity fund and plan to use it for retirement expenses next year. The market falls 25%. Your investment is now worth around ₹15 lakh.

You cannot tell your expenses to wait until the market recovers.

Someone who doesn’t need their money for another ten years has more flexibility. Someone who needs it next month may have very little.

This is why I think the withdrawal stage deserves as much attention as the accumulation stage. If a major goal is approaching, you should review whether the money you will need is exposed to more market risk than you can afford.

The plan should not be to accumulate money forever. At some point, the money has to do its job.

And the market may not cooperate with your timetable.

I have nothing against SIPs. I think they can be a very sensible way to invest.

But I wouldn’t start one just because a calculator shows me a large number or because everyone keeps saying that regular investing is the easiest way to build wealth.

I would first decide what I am investing for, when I will need the money and what I can afford to lose along the way.

Then I would worry about the monthly instalment.

The SIP is the easy part. Getting the investment, the amount and the timing right is where things get complicated.

If you enjoy understanding the behaviour behind money, you will love seeing how it all connects to the bigger picture too. Every Wednesday, I break down finance and investing concepts in simple terms to help you understand businesses, read between the lines, and make more informed investment decisions in The Finance Lens. No stock tips; just simple ideas to help you understand what’s happening and why.

You can read the latest edition here:

The Finance Lens

Thanks for reading. Until next time, remember: a SIP makes investing disciplined, but it doesn’t make investing risk-free. Your returns depend on more than just investing every month. The fund you choose, the market you invest in, your financial goals, and when you need the money all matter. Because in investing, a good habit is important, but understanding what you are investing in matters just as much. 😊

💙 Smita

^{Money in Real Life is reader-supported.}^{I write these articles to make money and finance a little easier to understand and, hopefully, a little more useful in everyday life. If something you read here makes you think differently, learn something new, or simply look at your money a little more carefully, consider becoming a free subscriber. It costs nothing, and it helps me keep writing and growing this little corner of the internet. Thank you for being here. ❤️}

Disclaimer: This is for general educational and informational purposes only. I am not a SEBI-registered Investment Adviser. This is not personalised investment advice. Please consult a qualified financial advisor before making any financial decisions.

DuPont Analysis: When a High ROE Can Fool You

Smita — Wed, 28 Oct 2026 02:15:38 GMT

Hello and welcome back to The Finance Lens!

Whenever I see a company reporting a high ROE, I want to know how it got there.

A company earning a 25% return on equity sounds attractive. But I wouldn’t make up my mind just by looking at that number. I want to see its profit margins, how much sales it generates from its assets, and how its business is financed.

Why? Because the same ROE can come from very different situations.

And if we don’t look at what is driving it, we might end up giving a company more credit than it deserves.

This is what DuPont analysis helps us understand.

Let’s start with a simple example

Suppose a company earns ₹25 crore in net profit and has shareholders’ equity of ₹100 crore.

Its ROE is 25%.

The calculation is:

ROE = Net Profit ÷ Shareholders’ Equity × 100

Nothing complicated here. But this number doesn’t tell us whether the company has good profit margins, uses its assets efficiently, or relies heavily on financial leverage.

DuPont analysis breaks ROE into three parts:

ROE = Net Profit Margin × Asset Turnover × Equity Multiplier

Let’s look at what each part tells us.

A company can make good sales and still have a profit problem

Imagine a company generates ₹500 crore in sales but earns only ₹25 crore in net profit.

Its net profit margin is 5%.

Now, suppose another company generates the same ₹500 crore in sales but earns ₹50 crore in profit. Its margin is 10%.

The second company keeps twice as much profit from the same amount of sales.

That difference is worth investigating.

Perhaps it can charge higher prices because customers prefer its products. Perhaps it controls production costs better. Or perhaps the first company operates in a business where competition makes it difficult to maintain margins.

We cannot know the reason just from the percentage.

I would also check whether the margin has been stable over the years. A company reporting a 15% margin this year may not be as attractive if its margin was 8% for the previous four years and this year’s result includes an unusual gain.

Net profit margin = Net Profit ÷ Sales × 100

This is the first part of DuPont analysis. It shows how much profit the company earns from sales.

But profit margin is only one piece of the puzzle.

What if a company needs too many assets to generate sales?

Some businesses need expensive factories, machinery and inventory. Others can generate substantial sales with relatively few physical assets.

This difference matters when we look at asset turnover.

Suppose a company has total assets of ₹200 crore and generates annual sales of ₹400 crore.

Its asset turnover is 2 times.

In simple terms, it generates ₹2 in sales for every ₹1 of assets.

Now imagine another company generates ₹400 crore in sales but has ₹400 crore in assets. Its asset turnover is only 1 time.

The first company generates more sales relative to its assets.

At first glance, that looks better. But I wouldn’t automatically conclude that it is the better business.

What if the second company has recently built a factory that hasn’t started operating at full capacity? Its current asset turnover may look weak, but the new factory could support future growth.

On the other hand, if a company has been investing heavily for years and still struggles to generate sales from those assets, I would want to understand why.

The calculation itself is simple:

Asset Turnover = Sales ÷ Total Assets

For a full-year analysis, using average total assets is generally more appropriate than using only the year-end balance.

Also, compare companies operating in similar industries. A retailer and a steel manufacturer have very different asset requirements, so their asset turnover ratios may not be directly comparable.

Now comes the part investors shouldn’t ignore

The third component is the equity multiplier.

This tells us how much a company’s assets amount to relative to its shareholders’ equity.

Equity Multiplier = Total Assets ÷ Shareholders’ Equity

Suppose a company has total assets of ₹200 crore and shareholders’ equity of ₹100 crore.

Its equity multiplier is 2 times.

Now suppose another company has the same ₹200 crore in assets but shareholders’ equity of only ₹50 crore.

Its equity multiplier is 4 times.

The second company has a much smaller equity base relative to its assets. The difference is reflected in its liabilities, which may include borrowings, trade payables and other obligations.

This is where I would open the balance sheet and look more closely.

A higher equity multiplier can increase ROE, but it doesn’t automatically mean the company has excessive debt. We need to check what those liabilities actually consist of.

If the company has substantial borrowings, I would look at interest expenses, repayment obligations and cash flow. A business may generate attractive returns in good years, but financial pressure can build quickly if earnings fall and debt payments remain due.

There is another side to this, too. Some businesses can operate perfectly well with a higher level of liabilities because of their business models. So, I wouldn’t judge a company by the equity multiplier alone.

The important thing is to understand how the company is financed and what risks come with that financing.

Let’s put the numbers together

Consider a company with the following figures:

Sales: ₹500 crore
Net profit: ₹25 crore
Average total assets: ₹250 crore
Average shareholders’ equity: ₹100 crore

Its net profit margin is 5%.

Its asset turnover is 2 times.

Its equity multiplier is 2.5 times.

Now apply the DuPont formula:

ROE = 5% × 2 × 2.5 = 25%

The company reports an ROE of 25%.

Notice that its net profit margin is only 5%. The ROE is higher because the company generates sales relative to its assets and operates with an equity multiplier of 2.5 times.

This doesn’t tell us whether the company is good or bad. It tells us where the return is coming from, which gives us a better starting point for further analysis.

Two companies, the same ROE

This is where DuPont analysis becomes particularly useful.

Suppose I am comparing two companies in the same industry. Both report an ROE of 20%.

Their numbers look like this:

Company A earns ₹10 in net profit for every ₹100 of sales. Company B earns only ₹5.

Their asset turnover is the same, but Company B has a higher equity multiplier.

Both report a 20% ROE, yet the factors contributing to that return are different.

I would want to understand why.

Is Company B using more borrowings? Does it have other liabilities that explain the difference? Has Company A bought back shares, reducing its equity base? Are both companies generating enough cash to support their operations?

These are the kinds of questions that matter when analysing a business.

I wouldn’t automatically choose Company A just because its profit margin is higher. There may be other important differences between the two businesses. But I wouldn’t ignore the difference in their capital structures either.

A single ROE figure cannot explain all of this.

How I would use DuPont analysis

I wouldn’t calculate these ratios for one year and immediately decide whether a stock is worth buying.

I would look at the numbers over several years.

Suppose a company’s ROE rises from 15% to 25%. That is a significant change, but I would want to know what happened.

Did the profit margin improve? Is the company generating more sales from its assets? Or has its equity multiplier increased?

I would also check whether the change is temporary. A one-time gain can improve net profit, while a recent investment in a factory can temporarily reduce asset turnover.

The equity base deserves attention as well. Share buybacks and accumulated losses can reduce shareholders’ equity and push ROE higher. In such cases, a high ROE may not mean the underlying business has become more profitable.

And I wouldn’t use DuPont analysis to compare companies without considering their industries. The right interpretation depends on how the business operates.

Most importantly, a good ROE doesn’t tell us whether the stock is cheap. A company can be financially strong and still be a poor investment if its share price already reflects very optimistic expectations.

I would use DuPont analysis alongside cash flow, debt, business quality and valuation.

One last thing

I find DuPont analysis useful because it forces us to look beyond a number that investors often use to judge a business.

A high ROE can be the result of good profitability, efficient use of assets, financial leverage, or a combination of these factors.

The difference matters.

When I analyse a company, I don’t just want to know how much return it generates on shareholders’ equity. I want to understand what is producing that return and whether the reasons behind it are likely to last.

That is what DuPont analysis helps us investigate.

And sometimes, understanding how a company earns its returns is more important than the return itself.

It is not about tips. It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday. If you feel this could truly help you, you can check it out here.

Money in Real Life

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

EBITDA: What Should We Actually Add Back?

Smita — Wed, 21 Oct 2026 02:00:43 GMT

Hello and welcome back to The Finance Lens!

I have seen companies report EBITDA, Adjusted EBITDA, and sometimes even more adjusted versions of Adjusted EBITDA. At some point, you have to wonder whether we are measuring business performance or just finding new ways to make the numbers look better.

EBITDA itself is not complicated. The confusion starts when we decide what should be included in it and what should be removed.

A reader recently asked me an interesting question: when calculating EBITDA, should we only add back interest, taxes, depreciation and amortisation? What about one-off expenses, non-cash items, or gains and losses from selling assets?

It is a good question because if you look at different companies, you will often find different calculations. And if you are using EBITDA to compare two businesses, that difference matters.

Let’s take it from the beginning.

EBITDA stands for Earnings Before Interest, Taxes, Depreciation and Amortisation.

If we start with net profit, the calculation is simple:

EBITDA = Net profit + Interest + Taxes + Depreciation + Amortization

Suppose a company earns ₹100 crore in net profit. It has paid ₹20 crore in interest expense and recorded ₹15 crore in income tax expense. Depreciation and amortisation come to another ₹25 crore.

Its EBITDA is ₹160 crore.

That’s it. These four items are added back to net profit to calculate EBITDA.

But notice something. We have not added back every expense the company incurred. We have only added back the four items specified in the definition.

This is where things start getting interesting.

What about other non-cash expenses?

I think this is where many investors get confused.

They understand that depreciation and amortisation are added back because they are non-cash expenses in the current period. Then they assume that other non-cash expenses should also be added back.

Not necessarily.

Take stock-based compensation. A company gives shares or stock options to employees as part of their compensation. The company records an expense, but it may not pay the same amount in cash during that period.

So management may argue that this expense should be added back when calculating Adjusted EBITDA.

But should we simply accept that argument?

I wouldn’t.

The employees are still being paid. Existing shareholders may also be diluted as more shares are issued. The fact that the company isn’t handing over cash at that particular moment doesn’t mean the compensation has no cost.

If a company reports EBITDA of ₹200 crore and adds back ₹30 crore of stock-based compensation, its Adjusted EBITDA becomes ₹230 crore.

The business has nott suddenly become more profitable. We have simply changed what we are willing to count as an expense.

That doesn’t mean stock-based compensation can never be excluded from an adjusted measure. It means we should understand why it is being excluded and look at the dilution it creates.

The same thinking applies to other non-cash expenses, including impairment charges and certain provisions. Some adjustments may be reasonable, but there is no rule that says every non-cash expense must be added back.

Non-cash does not mean cost-free. That’s worth remembering.

Now, what about one-off expenses?

This is probably the most debatable part of Adjusted EBITDA.

Imagine a company spends ₹10 crore closing an unprofitable factory. Management argues that this is a one-time expense and should not affect the company’s normal operating performance.

Fair enough. There may be a good reason to exclude it when estimating what the business can earn in a normal year.

But now imagine the same company reports restructuring expenses every year.

One year, it closes a factory. The next year, it restructures its workforce. The year after that, it reorganises another division.

At what point do we stop calling these expenses exceptional?

This is something I pay attention to when reading company results. An expense can be unusual in nature without being unusual in frequency.

If management keeps removing similar expenses every year, I want to know whether the company really has a one-off problem or whether these costs are simply part of running the business.

The label alone tells us very little.

And remember, even if an expense genuinely occurs only once, the money has still been spent. Excluding it may help us understand normal operating performance, but it doesn’t mean the expense never happened.

There is a difference between understanding a company’s earnings and pretending certain costs don’t exist.

What happens when a company sells an asset?

Let’s say a manufacturer sells an old machine for ₹18 crore. The machine is recorded in its books at ₹10 crore.

The company makes a gain of ₹8 crore.

That gain increases its accounting profit. But did the company earn that ₹8 crore by manufacturing and selling more products? No. It came from selling an asset.

If we calculate EBITDA by simply adding interest, taxes, depreciation and amortisation back to net profit, that gain may still be included.

So, if our objective is to understand the earnings generated by the company’s regular operations, we would generally consider subtracting that ₹8 crore gain when calculating an adjusted measure.

Now reverse the situation.

The company sells a machine for ₹7 crore even though its carrying value is ₹10 crore. It records a loss of ₹3 crore.

If the loss is genuinely outside normal operating performance, we might add that ₹3 crore back when calculating Adjusted EBITDA.

But there is a catch.

We shouldn’t automatically remove every gain and add back every loss. Some businesses regularly sell and replace equipment. For them, gains and losses on asset sales may be a normal part of operations.

We need to understand the business before deciding what to adjust.

Also, check where the gain or loss appears in the income statement. Depending on how it is presented, it may already be excluded from a company’s reported operating profit. You don’t want to adjust the same item twice.

This is why I prefer to see a proper reconciliation rather than a company simply announcing its Adjusted EBITDA.

So, is Adjusted EBITDA wrong?

No. It can be useful.

The problem is that Adjusted EBITDA is not calculated using one universally standardised list of adjustments.

Two companies can report the same EBITDA but very different Adjusted EBITDA figures because they exclude different expenses.

Let’s say both companies report EBITDA of ₹100 crore.

Company A adds back ₹5 crore in restructuring expenses that genuinely relate to an unusual event. Its Adjusted EBITDA is ₹105 crore.

Company B adds back ₹20 crore in stock-based compensation, ₹10 crore in restructuring expenses, and ₹15 crore in other costs. Its Adjusted EBITDA is ₹145 crore.

Which company is doing better?

We cannot tell from these numbers alone.

Company B might have legitimate reasons for some of its adjustments. But I would want to examine those adjustments before concluding that it has stronger earnings.

I would also check whether management removes unusual gains as carefully as it removes unusual losses. If a company adds back expenses but leaves favourable one-off gains in its earnings, the calculation deserves a closer look.

When reading results, I would keep two numbers in front of me: reported EBITDA and Adjusted EBITDA. The difference between them can sometimes tell us as much as the headline figure itself.

One thing EBITDA will never tell you

There is another problem with EBITDA that investors sometimes overlook.

It adds back depreciation, but a business may need to spend a lot of money replacing the assets that are depreciating.

Consider a manufacturer that reports EBITDA of ₹100 crore. Its machinery is getting old, and it needs to spend ₹35 crore replacing equipment. It also needs ₹20 crore to support additional inventory and customer credit as the business grows.

That ₹100 crore of EBITDA suddenly looks less impressive.

The company has real cash requirements that EBITDA does not capture. We still need to consider capital expenditure, working capital, interest payments and taxes to understand how much cash is actually available.

And not all capital expenditure is optional. A company might postpone replacing machinery for a year, which makes current cash flow look better, but the underlying business has not necessarily improved.

This is why I never treat EBITDA as cash flow. It is a measure of earnings before certain expenses, not a measure of the money shareholders can take home.

For a software business with limited capital requirements, EBITDA might tell us something useful about operating performance. For a capital-intensive manufacturer, it can leave out a much bigger part of the story.

The business matters.

How I would calculate it

My approach would be to keep things simple.

First, calculate standard EBITDA by adding interest, taxes, depreciation and amortisation back to net profit.

Then, if management reports Adjusted EBITDA, look at every additional adjustment separately.

Is the expense genuinely unusual? Does it keep appearing year after year? Is it non-cash, and if so, does it still have an economic cost? Has management also removed comparable gains? And does the final number give us a better understanding of the business, or does it simply make earnings look higher?

There is not a universal answer for every adjustment. But there should be a clear reason for each one.

And one final thing: don’t assume a company with higher Adjusted EBITDA is necessarily a better business. Look at its operating cash flow, capital expenditure, debt and returns on capital as well.

EBITDA can help us understand a business. It just cannot do all the work for us.

Sometimes, the most useful thing in a company’s results is not the EBITDA number management wants us to notice. It is the list of expenses they want us to ignore.

It is not about tips. It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday. If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Common Size Statements: Stop Getting Lost in Financial Statements

Smita — Wed, 14 Oct 2026 02:16:11 GMT

Hello and welcome back to The Finance Lens!

I find it slightly ridiculous that we teach people to read financial statements by throwing a hundred different numbers at them and then expect them to understand the business.

Revenue is $5 billion.

Expenses are $3.8 billion.

Debt is $1.2 billion.

Cash is $600 million.

Inventory is $400 million.

Okay.

And?

What am I actually supposed to understand from all of that?

This is one of the reasons I like Common Size Statements.

Not because the idea is complicated.

Actually, the opposite.

It is so simple that I sometimes wonder why we make financial statement analysis sound harder than it needs to be.

The basic idea is this:

Stop looking at the number by itself.

Put it next to something that gives it meaning.

That’s what a Common Size Statement does.

And once you understand that, a financial statement starts looking a little different.

Let’s say a company made $10 billion in revenue.

Sounds big.

Very big.

Now imagine it spent $8.5 billion getting there.

Suddenly, I am less impressed.

Because the $10 billion number by itself doesn’t tell me much.

I want to know what happened to that $10 billion.

How much disappeared into costs?

How much went into employees?

How much went into interest?

How much was left for shareholders?

This is where the Common Size Income Statement becomes useful.

You make revenue 100%.

Then everything else is measured against it.

So if the company has $8.5 billion of costs against $10 billion of revenue, that cost is 85% of revenue.

And if $1 billion is left as net income, that’s 10%.

Now I can actually see something.

The company is keeping 10 cents of every dollar it generates as profit.

That’s much more useful than just knowing that it made $1 billion.

And the calculation isn’t exactly rocket science:

Common Size % = Line Item ÷ Revenue × 100

That’s it.

Honestly, the calculation is probably the least interesting part.

What happens after the calculation is where things get interesting.

Because this is where companies start giving themselves away

Let’s say a company looked like this five years ago:

Revenue - 100%
Cost of goods sold - 55%
Operating expenses - 25%
Net profit - 12%

Five years later:

Revenue - 100%
Cost of goods sold - 62%
Operating expenses - 27%
Net profit - 7%

Now someone can tell me:

“Revenue has grown 80%.”

Great.

But I am looking at something else.

The company is keeping less money from every dollar of revenue.

That’s a completely different story.

And this is why I think Common Size Statements are underrated.

They can expose things that get buried when you only look at the actual financial statement.

Revenue can be growing.

Profit can be growing.

The company can be talking about expansion.

Management can be giving presentations about the huge opportunity ahead.

Meanwhile, the percentage of revenue being eaten up by costs is quietly moving in the wrong direction.

Numbers don’t lie.

But sometimes the way we present them makes it very easy to miss what they are saying.

And then there is the balance sheet

This is where people often get confused because the base changes.

For the income statement, we normally make revenue = 100%.

For the balance sheet, we normally make total assets = 100%.

Why?

Because we are trying to understand what the company’s assets are actually made of.

Suppose a company has $1 billion in total assets.

It has:

$100 million cash
$200 million inventory
$400 million property and equipment
$300 million other assets

In common-size terms:

Cash = 10%

Inventory = 20%

Property and equipment = 40%

Other assets = 30%

Again, very simple.

But now imagine inventory was only 10% of assets three years ago.

Now it is 20%.

That is something I want to investigate.

Not necessarily panic about.

Investigate.

Maybe the company is growing quickly and needs more inventory.

Maybe it is preparing for a new product launch.

Or maybe products are not moving, and inventory is piling up.

The Common Size Statement doesn’t tell me which one it is.

And that is fine.

I don’t need it to.

It has done its job.

It has made me notice something.

This is the part I think investors miss

A Common Size Statement is not really about converting numbers into percentages.

That’s just the boring mechanical part.

The useful part is comparison.

Compare this year with last year.

Compare five years with today.

Compare one company with another.

Then ask what changed.

That’s where the information starts becoming useful.

Take two companies.

Company A has a 50% gross margin.

Company B has a 30% gross margin.

I don’t immediately conclude that Company A is better.

But I definitely want to know why there is a 20-percentage-point difference.

Does Company A have pricing power?

Does it have a better product?

Does Company B operate in a much more competitive market?

Does Company A have better economies of scale?

There is a story somewhere.

I want to find it.

That’s how I think investors should use these statements.

Not as some magical tool that spits out:

BUY THIS STOCK.

It doesn’t.

It just helps you see things that are easier to miss when you’re staring at absolute numbers.

And there is one thing I wouldn’t do

I would not sit there looking at a Common Size Statement and decide that every higher percentage is good and every lower percentage is bad.

Financial statements don’t work that neatly.

If inventory is 20% of assets, that is not automatically bad.

If debt is 40% of assets, that is not automatically terrible.

If operating expenses are 30% of revenue, that does not automatically mean management is wasting money.

Context matters.

A lot.

A manufacturer is not going to look like a software company.

A supermarket is not going to have the same balance sheet as a bank.

And a fast-growing company can look completely different from a mature company.

So don’t turn Common Size Analysis into another box-ticking exercise.

That’s missing the point.

What I actually want to see

If I am looking at a company, I want to see how these percentages behave over time.

That’s much more interesting to me than one year’s number.

Is gross margin expanding?

Are operating costs becoming a smaller part of revenue?

Is interest expense taking up more of the income statement?

Is inventory growing faster than the business?

Is debt becoming a larger part of the balance sheet?

Is the company becoming more efficient as it gets bigger?

These are the questions.

The percentage is just the starting point.

And sometimes the answer is boring.

Good.

Not every financial statement needs to contain a hidden disaster.

Sometimes you look at the numbers, and everything is moving in the right direction.

That’s useful too.

So what is a Common Size Statement, really?

If I had to explain it without all the accounting language, I would say this:

It is a way of turning a financial statement into percentages so you can see the structure of the business and compare it more easily.

For the income statement:

Revenue = 100%

For the balance sheet:

Total Assets = 100%

Then you work everything else out from there.

Simple.

But don’t get stuck on the formula.

The formula isn’t the interesting bit.

The interesting bit is what happens when you start asking:

Why did this percentage change?

That’s where financial analysis actually begins.

Because a company going from $1 billion to $2 billion in revenue sounds impressive.

But if the company went from keeping 15% of revenue as profit to keeping 7%, I have more questions than congratulations.

And that’s probably why I like Common Size Statements.

They force you to stop admiring big numbers for a minute.

And start asking what those numbers are actually doing.

Same financial statement.

Different way of looking at it.

Sometimes that’s enough to find something you would have otherwise missed.

It is not about tips. It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday. If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

The Most Important Thing: What Investors Get Wrong About Risk

Smita — Wed, 07 Oct 2026 01:42:46 GMT

Hello and welcome back to The Finance Lens!

I have started a new series here called Finance Lens: Beyond the Book.

Once a month, I will pick one good financial or investing book and look beyond the summary.

Because I don’t want to tell you what the book says chapter by chapter.

I want to ask a more useful question:

What can investors actually learn from it?

One idea. One investing lesson. Something worth thinking about after you close the book.

This month, the book is Howard Marks’ The Most Important Thing.

And the idea I want to look at is risk.

Not the usual definition of risk.

The one we often use without thinking.

We see a falling stock and call it risky

This happens all the time.

A stock falls 20%.

Someone says, “Too risky.”

Another stock has barely moved for three years.

“Safe.”

But what exactly are we measuring?

The first company might have a strong balance sheet, growing cash flows and a sensible valuation. The price simply fell because the market became pessimistic.

The second company might have weak cash flows, too much debt and a valuation that assumes everything will go perfectly.

Yet the second stock feels safer.

That is the interesting part.

Some risks show up on the price chart. Others don’t.

And this is where Marks’ thinking becomes useful.

Risk is not always what makes you uncomfortable

A falling stock makes us uncomfortable because we can see the loss.

But investing risk is not simply about how uncomfortable the price movement makes us feel.

The bigger question is:

What are the chances that I permanently lose money?

That changes the way you look at an investment.

Instead of only asking:

“Can this stock go up?”

you start asking:

“What could permanently hurt my investment?”

Maybe the company has too much debt.

Maybe the business depends on one product.

Maybe management is making poor capital-allocation decisions.

Maybe I have paid a ridiculous price for a good business.

Maybe the market’s expectations are so high that even good results won’t be good enough.

None of these necessarily appear when you look at a one-year price chart.

And that is the problem.

The uncomfortable part about risk

I think investors often want risk to be measurable.

Give me a number.

Give me a ratio.

Give me a volatility figure.

Tell me whether something is low-risk or high-risk.

But real investing is rarely that clean.

You can analyse a company for weeks and still be wrong.

You can understand the business and still pay too much.

You can buy a wonderful company and still face a recession, a competitor, a regulation change or a management mistake.

There is always uncertainty.

The goal isn’t to eliminate it.

It is to avoid being careless about it.

That is a very different mindset.

What this changes for me

If I take this idea seriously, I would spend a little less time asking:

“How much can I make?”

and a little more time asking:

“What am I assuming has to go right for me to make this money?”

That second question is surprisingly powerful.

Suppose I expect a company to grow earnings by 20% every year.

Fine.

But why 20%?

What happens if growth is 12%?

What happens if margins fall?

What happens if the valuation multiple contracts?

What happens if the next three years are merely average?

The investment doesn’t need to be bad for the original thesis to be wrong.

Sometimes the problem is simply that the price left no room for disappointment.

And that, to me, is one of the most useful ways to think about risk.

A good company can still be a risky investment

This is something I wish more investors talked about.

We often discuss businesses as if quality automatically makes an investment safe.

It doesn’t.

A fantastic company bought at an absurd valuation can still produce a poor investment return.

Meanwhile, an ordinary company bought at a very low price may have a completely different risk-reward equation.

I am not saying cheap is always good.

It obviously isn’t.

The point is simpler:

You cannot separate the quality of an investment from the price you pay for it.

The price is part of the risk.

The question I would take from this book

I don’t think the biggest lesson from a good investing book should be a quote you remember.

It should be a question you start asking yourself.

For me, after thinking about The Most Important Thing, that question is:

“Where is the risk that I cannot see?”

If a stock is falling, I can see that.

If the market is panicking, I can see that.

But can I see the debt?

Can I see the unrealistic expectations?

Can I see how much of the future growth is already priced in?

Can I see what happens if my assumptions are wrong?

That is where things get interesting.

Because sometimes the investment that looks scary isn’t the dangerous one.

And sometimes the one that feels comfortable is exactly the one that deserves another look.

Beyond the Book

That’s what I want to take away from great financial books.

Not more information.

Better questions.

The Most Important Thing doesn’t make risk disappear.

It simply makes me look for it in places I might otherwise ignore.

And perhaps that’s what a good investing book should do.

You close the book.

Then you look at your portfolio a little differently.

That is when the book actually starts becoming useful.

It is not about tips. It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday. If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

5 Indian Sectors I am Watching Closely

Smita — Wed, 30 Sep 2026 01:47:41 GMT

Hello and welcome back to The Finance Lens!

I have been thinking about one question lately:

Where could India’s next phase of growth come from?

Not which stock will double.

Not which sector is currently fashionable.

Just a simpler question: which parts of the economy have something meaningful changing underneath them?

After looking at the numbers, industry trends, and structural changes happening in India, five sectors keep coming to mind.

Power. Defence. Engineering & Capital Goods. Financial Services. Electronics Manufacturing.

I am not calling them the best sectors. And I am certainly not saying every company in these industries will do well.

I am interested in why these sectors could matter and what I would want to check before getting too excited about them.

1. Power & Energy

The simplest reason I am watching power is also probably the most important:

India is going to need more electricity.

India’s electricity consumption reached 1,622.97 billion units in FY25, up 32% from FY21. At the same time, installed power capacity reached 542.36 GW by May 2026, with renewable energy accounting for 225.61 GW.

And the story is not only about renewable energy.

More manufacturing means more electricity.

More data centres mean more electricity.

More air-conditioners, electric vehicles and rising consumption mean more electricity.

India is also planning significant investment in transmission infrastructure, with around ₹9.15 lakh crore projected through 2032.

That makes me interested in the entire power ecosystem: generation, transmission, equipment, renewables and storage.

But I don’t want to stop at the demand story.

The real question is:

Which companies can turn this rising demand into sustainable cash flows and returns on capital?

That’s where the interesting work begins.

2. Defence & Aerospace

Defence is another sector where something bigger than just rising government spending is happening.

India is trying to build more of its defence equipment domestically.

The numbers show how far the industry has already moved. India’s defence production reached about ₹1.78 lakh crore in FY26, while defence exports reached ₹38,424 crore. The government has set a target of around ₹3 lakh crore of defence production by FY29.

There is also a push towards indigenisation.

As of May 2026, the SRIJAN portal had facilitated the indigenisation of more than 15,700 defence items.

That’s what interests me.

It isn’t just about producing more weapons.

It is about building a domestic defence manufacturing ecosystem: components, electronics, aerospace, engineering, maintenance and eventually exports.

But here is where I would be careful.

An enormous order book can make a company look exciting.

An order is not revenue. Revenue is not profit. And profit is not cash flow.

So I would look closely at execution, margins, working capital, return on capital and valuation.

3. Engineering & Capital Goods

This one is closely connected to the broader investment cycle.

India cannot build factories, roads, power infrastructure, railways and other physical infrastructure without companies supplying the equipment and engineering capabilities behind them.

India’s capital goods production increased from ₹2.30 lakh crore in CY15 to ₹4.29 lakh crore in CY24. Engineering exports also reached about US$122.4 billion ( around ₹11.75 lakh crore) in FY26.

There is another number I found interesting.

India’s construction equipment industry recorded sales of 1,36,995 units in FY26, while the market is projected to reach around ₹1.03 lakh crore by FY30.

These numbers don’t tell us which company will create the most shareholder value.

But they tell us something important: there is a lot of economic activity requiring machines, equipment and engineering.

And that is why I am watching the sector.

For individual companies, I’d want to see whether the growth is translating into better margins, stronger cash flows and sensible returns on capital.

Because simply having a large order book is not enough.

4. Financial Services

Financials may be the least “new” idea on this list.

But I think that is precisely why they are easy to overlook.

As the economy becomes larger and more formal, the need for credit, insurance, investments, payments and wealth management also changes.

India’s financial services industry is seeing increasing penetration, supported by credit growth, digitalisation and rising incomes. One industry estimate cited by IBEF projects financial-services profits to nearly double by FY30, with NBFCs, wealth management, payments and insurance among the growth areas.

Another number caught my attention:

Assets under management in India’s financial services industry are projected to rise from about ₹91 lakh crore in FY24 to over ₹213 lakh crore by FY29.

That’s a significant shift.

But again, I don’t want to reduce this to:

“Financial services will grow, therefore buy financial stocks.”

That is too simple.

I would rather ask:

Are credit costs under control?

Is growth coming from quality borrowers?

Are margins sustainable?

How much capital does the business need to grow?

And ultimately:

How much profit can the company generate from every rupee of capital?

Those questions matter far more to me than simply knowing that the industry is growing.

5. Electronics Manufacturing

This is probably the sector on the list where the structural change is easiest to see.

India’s electronics production increased from around ₹1.9 lakh crore in FY15 to ₹11.3 lakh crore in FY25.

Electronics exports also reached about US$48 billion (around ₹4.61 lakh crore) in FY26, growing 24.7% year-on-year.

And India is aiming for a much larger electronics manufacturing ecosystem, with a stated goal of US$500 billion ( around ₹47.98 lakh crore) in electronics production by 2030-31.

There is also substantial policy support.

The Electronics Components Manufacturing Scheme was expanded to ₹40,000 crore in the FY27 Budget, while India Semiconductor Mission 2.0 was announced.

This is interesting because the opportunity is not limited to assembling smartphones.

It potentially includes components, semiconductors, electronics design, industrial electronics, automotive electronics and defence electronics.

But there is an important distinction I don’t want to lose.

A growing industry does not automatically create great businesses.

A company can have rapidly growing revenue and still struggle with margins, working capital or returns on capital.

So this is a sector where I would be particularly interested in finding out who is actually capturing the economics of the growth.

So, why these five?

When I put all five together, I see a common thread.

India is investing, electrifying, manufacturing, digitising and formalising.

Power supports industrial growth.

Capital goods provide the machinery.

Defence manufacturing builds domestic capabilities.

Electronics manufacturing pushes India further into global supply chains.

Financial services provide the capital and infrastructure that allow the economy to grow.

That’s the bigger picture that interests me.

But there is one thing I don’t want to forget.

A good sector does not automatically make a good investment.

A sector can grow rapidly and still disappoint investors.

Why?

Because the market may have already priced in that growth.

That’s why, after identifying an interesting sector, I would go one level deeper:

Who are the leaders?
What are their competitive advantages?
Are profits growing with revenue?
Is cash flow keeping up with profits?
How much capital is required to grow?
And, perhaps most importantly, what am I paying for all of this?

That is where I think the real investing work begins.

I am not trying to predict which sector will win.

I am trying to understand where the economic changes are happening and which businesses might actually be capable of benefiting from them.

And honestly, I find that question much more interesting.

Which sectors are you watching closely right now and why? I would love to hear your reasoning.

And if you picked one, tell me your reason in the comments. You can also mention a sector not included in the poll that you think deserves attention.

It is not about tips.
It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Why Do Interest Rates Move Stock Prices?

Smita — Wed, 23 Sep 2026 01:36:50 GMT

Hello and welcome back to The Finance Lens!

Interest rates have always fascinated me a little.

Not because I enjoy staring at Fed statements (I really don’t), but because one small change in the cost of money can eventually show up in places that seem completely unrelated.

A company delaying a factory.

Someone postponing a home purchase.

A bank changing its lending rates.

An investor suddenly deciding that a stock trading at 50 times earnings looks a little too expensive.

All of these things can have a connection with interest rates.

The Fed has just raised its benchmark rate by 25 basis points. And as usual, the stock market has to digest what that actually means.

But here is where I think the conversation often becomes too simple.

“Rates are going up, so stocks should fall.”

If only markets were that easy.

Sometimes they fall.

Sometimes they don’t.

And occasionally, the market does something that makes absolutely no sense if you are only looking at the rate decision itself.

The reason is that interest rates don’t directly tell a stock what its price should be.

They change the environment in which businesses and investors operate.

And that takes us to the more interesting question:

How exactly does a change in interest rates travel from the central bank to your stock portfolio?

Let’s follow the chain.

It starts with the cost of money

Think about a company that wants to expand.

Maybe it wants to build another plant. Maybe it wants to acquire another business. Maybe it simply needs money to keep growing.

It can use its own cash.

Or it can borrow.

When borrowing is cheap, taking on debt can look fairly attractive.

When borrowing becomes expensive, the calculation changes.

The company now has a bigger interest bill to deal with.

And that money has to come from somewhere.

It could mean lower profits.

It could mean less money available for expansion.

It could mean the company decides not to make that investment at all.

This is why I always find it useful to look beyond a company’s income statement when thinking about interest rates.

A company earning ₹100 crore is one thing.

A company earning ₹100 crore while carrying a mountain of debt is another.

The profit number alone doesn’t tell you the whole story.

Then the consumer gets involved

This is where economics and investing start getting connected.

Higher interest rates don’t only affect companies.

They affect people too.

If borrowing becomes more expensive, some people will borrow less.

A house purchase may be postponed.

A car purchase may wait.

A business owner may decide that expanding the business can wait another year.

Again, none of this sounds dramatic when you look at one person.

But an economy is basically millions of these decisions happening at the same time.

And companies eventually feel it.

If people spend less, some businesses sell less.

If businesses invest less, companies supplying those businesses can feel it too.

So you get this rather long chain:

Rates → borrowing costs → spending and investment → company revenues and profits.

But we are still not done.

And this isn’t only a US story.

In India, there is now growing talk that the RBI may also raise interest rates, possibly as soon as its October policy meeting. Rising inflation, higher oil prices and excess liquidity are some of the reasons behind these expectations.

Of course, the RBI doesn’t have to simply follow the Fed. India’s economy is different, and the RBI has its own inflation and growth targets to worry about.

But if rates do start moving higher in India, the same basic chain applies here too.

Borrowing gets more expensive. Companies have to think harder about debt. Consumers may become a little more cautious. And investors may start looking at valuations differently.

Which brings us to another important part of the story: why do higher interest rates affect what investors are willing to pay for a stock?

The part about valuations

This is probably the part investors should pay more attention to.

A stock is not worth only what the company earns today.

Investors are paying for the profits they expect the company to make in the future.

And ₹100 you receive several years from now isn’t worth the same as ₹100 today.

Interest rates are part of the reason.

When rates rise, the return investors can get elsewhere changes. The return they demand from risky investments can change too.

That can put pressure on stock valuations.

This is especially important for companies where a large part of the story is based on what they might earn many years from now.

The business may still be excellent.

The product may still be excellent.

Management may still be doing exactly what it was doing yesterday.

But investors may decide they don’t want to pay the same price for those distant future profits.

And suddenly the stock is down.

This is one reason you can sometimes see a company’s share price fall even when its latest earnings were not particularly bad.

The market is changing the price it is willing to pay for those earnings.

But banks aren’t the same as tech companies

This is where blanket statements about interest rates become dangerous.

A bank lives in a world where interest rates are directly connected to what it does.

Higher rates can mean higher lending rates. But banks also have to think about what they pay depositors, loan demand and whether borrowers can actually repay their loans.

A real estate company has a different problem.

Higher borrowing costs can affect homebuyers as well as the company’s own financing.

A company with a lot of debt has another problem.

A company sitting on a large cash balance has a different starting point altogether.

And a high-growth company with little debt can still be affected because of valuation.

Same Fed.

Different businesses.

Different consequences.

That is why “rates up = sell stocks” is not really an investment thesis.

It is just a headline.

And then there is the market’s favourite word: expectations

This is where things get slightly annoying.

The Central can raise rates and stocks can go up.

Yes, really.

Because investors don’t wait for the central bank's announcement to start thinking.

If everyone expects a 25-basis-point hike, that hike isn’t exactly breaking news when it happens.

The market has probably spent weeks thinking about it.

What matters then is whether the decision was different from expectations and what the central bank says about what could happen next.

A rate hike that everyone expected can produce a very different market reaction from a rate hike that surprises investors.

This is why you sometimes see headlines saying:

“Fed raises rates. Markets rally.”

And you wonder what on earth is going on.

Nothing magical.

The market was reacting to the information around the decision, not simply the number itself.

So what should we actually look at?

When rates move, I wouldn’t immediately start guessing where the index is going next.

I would look at the companies I own.

How much debt do they have?

How expensive is that debt?

When does it need to be refinanced?

Are customers sensitive to borrowing costs?

How much cash does the business generate?

And, perhaps most importantly, how much of the expected future growth is already sitting in the stock price?

Because two companies can face exactly the same interest-rate environment and have completely different outcomes.

That, to me, is the useful way to think about interest rates.

Not as a simple signal telling you to buy or sell.

But as something that changes the economics of businesses and the price investors are willing to pay for them.

The next time the central bank changes rates, don’t just look at the market reaction.

Pick one company you know.

Follow the chain.

Rates → borrowing → spending → earnings → valuation → stock price.

That’s where the real story is.

It is not about tips.
It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

^{The Finance Lens is a reader-supported publication. If you enjoy practical investing insights and thoughtful finance articles, consider becoming a subscriber. Your support helps me continue creating content that simplifies investing and helps us all become better investors.}

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

What Does a Stock Rating Actually Mean?

Smita — Wed, 16 Sep 2026 01:30:54 GMT

Hello and welcome back to The Finance Lens!

I was looking at a stock report recently and noticed something I have seen hundreds of times.

Buy. Hold. Sell.

Pretty simple, right?

But then I started thinking about it.

What exactly does a Buy rating mean? Does every brokerage mean the same thing when it gives a stock a Buy rating? And if one analyst says Buy while another says Hold, who is actually right?

There is more to stock ratings than just these three words.

Most brokerages have some kind of rating system. It could be:

Strong Buy → Buy → Hold → Sell → Strong Sell

Or something like:

Outperform → Neutral → Underperform

Some use numbers. Some use different words.

So the first thing I would check is actually quite basic:

What does this particular brokerage’s rating mean?

Because there is not one universal rule that says a Buy means the same thing everywhere.

And then comes the part I find more interesting: the price target.

Let’s say a stock is trading at ₹800 and an analyst gives it a Buy rating with a target price of ₹1,000.

On the surface, it looks straightforward. The analyst expects the stock to go up.

But I would not stop at that.

I’d want to know why the target is ₹1,000.

Maybe the analyst expects earnings to grow 20% for the next few years. Maybe they expect margins to improve. Maybe they believe the market will give the company a higher valuation multiple.

The target price is only the final number.

The assumptions behind that number are what I would really want to understand.

There is another thing that often gets confusing.

A Hold rating doesn’t necessarily mean the company is bad.

Imagine you have a company with an excellent business, strong cash flows, low debt and a good competitive position.

But the stock is trading at a very expensive valuation.

An analyst might still give it a Hold.

Why?

Because a great company doesn’t automatically mean a great investment at any price.

This is something I think investors sometimes forget.

Business quality and stock valuation are two different things.

You can have a fantastic business whose stock is too expensive.

And you can also have an average business whose stock looks cheap enough to attract an analyst’s Buy rating.

Then there are upgrades and downgrades.

You might see a headline saying:

“Brokerage upgrades XYZ to Buy.”

It simply means the analyst’s view has become more positive.

Maybe earnings estimates have gone up. Maybe the stock price has fallen enough to make the valuation attractive. Maybe something has changed in the business.

The opposite is a downgrade.

And sometimes the rating stays the same but the target price changes.

For example, an analyst could move the target from ₹900 to ₹1,100 while still keeping a Buy rating.

So I wouldn’t look at the rating in isolation.

If I were reading a research report, I would probably ask myself a few simple questions:

What does the rating mean for this brokerage?
What is the target price?
What assumptions are being used to arrive at that target?
What is the time period?
What could go wrong with those assumptions?

And probably the most important one:

Has anything changed since the report was published?

Because an analyst’s Buy rating is not a guarantee.

It is an opinion based on a particular set of numbers and assumptions at a particular point in time.

Those assumptions can change.

The company’s results can change.

The economy can change.

The valuation can change.

Even the stock price itself can change enough to make an old recommendation less relevant.

So, should we ignore stock ratings?

No.

I think they can be quite useful.

But I would not use them as a shortcut for doing the research myself.

If I see BUY, I do not want my next thought to be:

Okay, I should buy this.

I would rather think:

Interesting. Why do they think I should buy this?

That small difference can change how you read an analyst report.

Because the most useful part of a stock rating is not always the word Buy.

Sometimes it is the reasoning sitting behind it.

It is not about tips.
It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

The Altman Z-Score: What Is Hiding Behind the Profits?

Smita — Wed, 09 Sep 2026 01:31:02 GMT

Hello and welcome back to The Finance Lens!

I have a habit of getting interested in a company because the numbers look good.

Sales are growing.

Profits are growing.

Margins look decent.

Maybe the stock has also done well.

And then, if I spend a little more time with the financial statements, I sometimes find something that makes me slow down.

The business is profitable, yes.

But its financial position is not quite as comfortable as it first appeared.

That got me interested in the Altman Z-Score.

It is not some magical formula that tells you which stock to buy. In fact, I think using it that way misses the whole point.

What I like about it is much simpler.

It gives you another way to ask:

How financially strong is this company, really?

And that’s a question we probably don’t ask often enough.

A company can make money and still be under pressure

This sounds obvious, but I think investors forget it surprisingly often.

When we see a company reporting higher profits, our first reaction is usually positive.

And fair enough. Profit matters.

But profit is only one part of the story.

A company can be profitable while carrying a lot of debt.

It can be profitable while struggling with working capital.

It can be profitable while becoming less efficient.

It can even be profitable while its overall financial position is slowly getting worse.

None of this necessarily means the company is going to fail.

That’s not the point.

The point is that profit alone doesn’t tell you how much financial breathing room a business has.

This is where the Z-Score can add something useful.

So, what exactly is the Altman Z-Score?

The Altman Z-Score was developed by Edward Altman to assess the likelihood of financial distress in companies.

The idea behind it is actually quite straightforward.

Instead of looking at just one number, why not look at several financial signals together?

So the model takes information from a company’s financial statements and combines it into one score.

It looks at things related to:

liquidity
retained earnings
operating profitability
leverage
asset efficiency

You could think of it as a quick financial health check.

Not a complete health report.

Just a check that might tell you:

Maybe look a little closer here.

And honestly, I think that’s the best way to use it.

What goes into the score?

The original Altman Z-Score uses five ratios.

The names sound more complicated than they really are, so let’s forget the textbook language for a moment and look at what each one is actually asking.

1. Working Capital / Total Assets

The basic question here is:

Does the company have enough short-term financial cushion?

Working capital gives us some idea of how comfortably a company can deal with its short-term obligations.

If it has a healthy cushion, that’s generally a positive.

If working capital is getting squeezed, I would want to understand why.

But there is a catch.

Some businesses naturally operate with very little or even negative working capital. So you can not look at this number in isolation and immediately conclude that something is wrong.

That’s a theme you will see again and again with financial ratios:

Context matters.

2. Retained Earnings / Total Assets

This one is basically looking at the company’s accumulated profits.

Has the business managed to keep some of the money it has earned over the years?

A company that has been around for a long time and consistently retained earnings may have built up a stronger financial base.

A young company obviously would not have the same history.

So again, don’t look at the number without thinking about the business itself.

3. EBIT / Total Assets

This one looks at operating earnings compared with the company’s assets.

In simple terms:

How well is the business turning its assets into operating profit?

This can be useful because revenue growth can sometimes hide a problem.

A company might be selling more, but if it needs a huge amount of additional assets to generate that growth, the picture is not quite as exciting.

More sales doesn’t automatically mean better economics.

4. Market Value of Equity / Total Liabilities

This brings the stock market into the calculation.

It compares the market value of the company’s equity with its liabilities.

You can think of it as giving us some idea of the equity cushion sitting against what the company owes.

If that cushion becomes thinner, I would pay attention.

Again, it is not a standalone measure of danger. It is just another piece of the puzzle.

5. Sales / Total Assets

This is basically about efficiency.

How much revenue is the company generating from the assets it owns?

Suppose two companies each have ₹1,000 crore of assets.

Company A generates ₹2,000 crore of sales.

Company B generates ₹700 crore.

Clearly, those assets are being used very differently.

The Z-Score takes that difference into account.

And then there is the famous formula

For the original model, the formula is:

Z = 1.2X₁ + 1.4X₂ + 3.3X₃ + 0.6X₄ + 1.0X₅

I will be honest, this is probably not the kind of formula most people want to memorise.

And you don’t have to.

The useful part is understanding what’s behind those five X’s.

The formula is essentially combining different clues about the company’s financial position and giving more weight to some than others.

That’s the interesting bit.

Let’s do a small example

Suppose we are looking at a fictional company.

Its five ratios are:

X₁ = 0.10
X₂ = 0.20
X₃ = 0.08
X₄ = 1.50
X₅ = 1.20

So:

Z = 1.2(0.10) + 1.4(0.20) + 3.3(0.08) + 0.6(1.50) + 1.0(1.20)

The answer comes to roughly:

2.58

Okay, now we have the score.

But this is where I think many explanations become a little too mechanical.

They give you the formula, calculate the number and then move on.

For an investor, the obvious question is:

What am I supposed to do with 2.58?

Fair question.

Understanding the Z-Score ranges

Traditionally, the original Altman model is divided into three broad areas.

Above 2.99 - Safe zone

Generally, this was considered a lower-risk range for financial distress under the original model.

1.81 to 2.99 - Grey zone

This is the middle ground.

Nothing necessarily screams trouble, but the company isn’t giving you the strongest signal either.

I would probably dig a little deeper.

Below 1.81 - Distress zone

This range was historically associated with a higher likelihood of financial distress.

But please don’t take these cutoffs too literally.

A Z-Score of 3.01 doesn’t suddenly make a company financially bulletproof.

And a score of 1.80 doesn’t mean the company is going bankrupt next Tuesday.

Markets are rarely that neat.

These numbers are signals, not predictions carved in stone.

I would actually watch the trend

This is probably my favourite way of using the Z-Score.

Let’s say a company has these scores:

If you only look at 2026, you see a score of 2.15.

Fine.

But look at the whole picture.

The score has fallen quite a bit over three years.

Now I am interested.

Why?

Maybe debt has gone up.

Maybe working capital has weakened.

Maybe operating profitability has fallen.

Maybe the company has become less efficient.

The Z-Score doesn’t tell me which one is responsible.

That’s okay.

It has done something useful already.

It has given me a reason to investigate.

And I think that’s how many financial ratios should be used.

Not as answers.

As questions.

Here’s where it gets more interesting

Imagine you are comparing two companies in the same industry.

Both are growing.

Both are profitable.

Both have decent businesses.

But you find this:

At first, Company A looks better.

Higher growth.

Higher profit growth.

Higher Z-Score.

Easy enough.

But now I would want to understand Company B.

It is still growing. So why is its Z-Score so much weaker?

Maybe the company has taken on more debt.

Maybe it is investing heavily.

Maybe the business model naturally requires more working capital.

Maybe there is nothing seriously wrong.

Or maybe there is a problem that is not obvious from the income statement.

That’s the part I find useful.

The Z-Score doesn’t make the decision for you.

It just makes you look under the hood.

Don’t turn it into a buy-or-sell rule

This is probably worth saying clearly.

Don’t do this:

Z-Score > 3 = Buy

Z-Score < 1.8 = Sell

It sounds wonderfully simple.

It is also a bad way to think about investing.

The Z-Score doesn’t tell you if the stock is cheap.

It doesn’t tell you whether management is competent.

It doesn’t tell you if the company has a strong competitive advantage.

It doesn’t tell you whether earnings will grow.

It doesn’t tell you if the industry is about to change.

And it certainly doesn’t know what management is going to do next year.

So I see the Z-Score more like a warning light on the dashboard.

If the light comes on, you don’t immediately abandon the car.

You open the hood.

You check what’s going on.

Same idea here.

There is one more thing you shouldn’t ignore

The original Altman Z-Score wasn’t designed as a universal formula for every company on earth.

It was developed in a particular context, especially for publicly traded manufacturing companies.

That matters.

A bank has a completely different balance sheet from a manufacturing company.

A software company can have a very different financial structure too.

A private company is also different from a listed company.

There are modified versions of the Altman model for different situations, but the broader lesson is more important:

Don’t blindly apply a formula just because you can calculate it.

First ask whether the formula makes sense for the company you are analysing.

That’s a small step, but it can save you from drawing some very strange conclusions.

How I would actually use the Z-Score

If I were analysing a company, I’d keep the process fairly simple.

1. Look at the current score

Just get a starting point.

2. Look at the history

Has the score been improving or falling?

3. Find out what changed

This is the important part.

Go back to the five components.

4. Compare it with competitors

Is the company an outlier, or is this normal for the industry?

5. Check the rest of the financials

Look at debt.

Cash flow.

Margins.

Interest coverage.

Profitability.

And, of course, valuation.

You don’t need to calculate every ratio under the sun.

The point is to build a picture.

A simple checklist

If you are looking at a company and want to use the Z-Score, here is a little checklist you can keep:

1. What’s the current Z-Score?

2. Is it rising or falling?

3. What is causing the change?

4. Is working capital getting weaker?

5. Is operating profitability deteriorating?

6. Are liabilities increasing?

7. Is the company using its assets efficiently?

8. How does it compare with competitors?

9. Is the Altman model suitable for this company?

10. What do cash flow and other financial ratios say?

That’s enough to get started.

The bigger lesson

The more I look at financial statements, the more I think investing is often about noticing what isn’t immediately obvious.

A company can have strong revenue growth and still have financial problems.

It can have good profits and still have a weak balance sheet.

It can look fantastic in one part of the annual report and much less impressive somewhere else.

That’s why I don’t think the Z-Score is interesting because it gives you a single number.

It is interesting because of what it makes you look at.

Liquidity.

Profitability.

Debt.

Retained earnings.

Asset efficiency.

Things that can easily get pushed into the background when everyone is talking about growth.

And maybe that’s the best way to remember the whole concept:

Don’t use the Altman Z-Score to decide whether to buy a company.

Use it to decide whether you need to look closer.

Because sometimes the most important question isn’t:

How fast is this company growing?

It is:

How strong is the company underneath that growth?

That’s a question worth asking before putting your money into any business.

It is not about tips.
It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

How to Invest When You Don’t Know What You Don’t Know

Smita — Wed, 02 Sep 2026 02:03:36 GMT

Hello and welcome back to The Finance Lens!

There is something uncomfortable about investing that we don’t talk about enough.

Sometimes, you can do everything “right.”

Read the annual report.

Study the industry.

Build a DCF.

Talk to management.

Look at competitors.

Run different scenarios.

And still get it badly wrong.

Not because your calculation was wrong.

But because the thing that eventually mattered wasn’t in your calculation at all.

I came across this idea while reading Richard Zeckhauser’s Investing in the Unknown and Unknowable, a paper from Harvard Kennedy School.

The idea sounds philosophical at first.

But I think it has a very practical lesson for anyone who invests in stocks.

We are often better at measuring uncertainty than admitting ignorance

Imagine you are analysing a company.

You think revenue will grow 15% a year.

Margins will improve.

The balance sheet will remain healthy.

Competition will stay manageable.

You put all of this into a spreadsheet.

Now you have a valuation.

Maybe the stock is worth ₹1,200.

It feels reassuring.

But stop for a moment.

How many of those numbers are facts?

And how many are simply assumptions that happen to look precise because they are sitting inside Excel?

That’s where things get interesting.

There is a difference between not knowing what will happen and not knowing what could happen.

If you know the possible outcomes but don’t know which one will occur, you can at least think about probabilities.

But what happens when something appears that you never considered?

A new technology.

A new competitor.

A regulatory change.

A completely different customer behaviour.

A business model nobody expected.

Your spreadsheet didn’t get the probability wrong.

It never had the variable in the first place.

And that’s a much harder problem.

David Ricardo didn’t know what would happen at Waterloo

One of the examples in Zeckhauser’s paper really stayed with me.

Before the Battle of Waterloo, David Ricardo bought British government bonds.

This wasn’t a situation where he could sit down and calculate the outcome with precision.

Napoleon might win.

Britain and its allies might win.

The consequences of either outcome were uncertain.

Ricardo couldn’t know the future.

But he could look at the price he was being offered.

And that was the interesting part.

He didn’t need to know exactly what would happen.

He needed to decide whether the price compensated him for taking the uncertainty.

That’s a very different way of looking at investing.

We often ask:

“What is going to happen?”

Maybe the better question is sometimes:

“Given that I don’t know what is going to happen, is the price good enough?”

That question is much harder.

But it is also much more useful.

This is where valuation can fool us

I like valuation models.

I think investors should understand them.

But there is a trap.

A model can make uncertainty look like knowledge.

Suppose your model says:

Revenue growth: 14.5%

Operating margin: 21%

Terminal growth: 5%

Fair value: ₹1,347

It looks scientific.

But the company doesn’t know that revenue is supposed to grow 14.5%.

The economy doesn’t know it either.

And your spreadsheet certainly doesn’t know it.

You made an assumption.

That’s fine.

The problem starts when we forget that it is an assumption.

There is a strange psychological effect here.

The more precise the number looks, the more confident we become in it.

₹1,347 feels more analytical than ₹1,300.

But it is not necessarily more accurate.

Sometimes we are just putting more decimal places on our uncertainty.

Buffett’s insurance business is another interesting example

Zeckhauser also discusses Warren Buffett and insurance.

Insurance is an interesting business because some events are incredibly difficult to predict.

Take a major earthquake.

You can study historical data.

You can study geology.

You can build models.

But there are limits to how confidently you can predict a rare catastrophic event.

That doesn’t mean there is no business opportunity.

It means the person taking the risk has to think differently.

What price am I charging?

How much capital do I need?

What happens if the worst case occurs?

Who else is willing to take this risk?

Do I understand the risk better than the person on the other side?

Buffett didn’t need to know when the next earthquake would happen.

He needed to understand the economics of taking the risk.

That’s an important distinction.

Sometimes an investing edge isn’t better prediction. It is better judgment about the price of uncertainty.

And this applies to ordinary stock investors too

You don’t need to be investing in earthquake insurance for this idea to matter.

Think about a company entering a completely new industry.

Everyone is excited.

The market opportunity could be enormous.

But nobody really knows how large it will become.

Nobody knows which technology will win.

Nobody knows how customers will behave.

Nobody knows what regulation will look like five years from now.

You could build a model anyway.

And someone probably will.

But perhaps the more useful question is:

What do I actually know here?

Maybe you know the company has a strong balance sheet.

You know management has successfully entered new markets before.

You know customers are adopting the product.

You know competitors are struggling.

Those are useful facts.

The rest may simply be possibilities.

And that’s okay.

You don’t have to turn every unknown into a number.

I think investors should keep an “I don’t know” list

This is something I have started to appreciate more.

When researching a company, we naturally write down reasons to buy.

The business has a moat.

Margins are improving.

Debt is falling.

Management is good.

Growth runway is large.

But we rarely write down the things we genuinely don’t understand.

We should.

For every investment, try writing two lists.

What I know.

And:

What I don’t know.

The second list can be surprisingly uncomfortable.

Maybe you don’t understand how sustainable the current margin is.

Maybe you don’t know whether the company’s competitive advantage will survive a new technology.

Maybe you don’t know how dependent growth is on one customer.

Maybe you don’t know what happens if the founder leaves.

Maybe you don’t know whether today’s valuation already assumes an excellent future.

These are not necessarily reasons to sell.

They are reasons to be honest about the quality of your thesis.

Then there is an even harder question

What about the things you don’t know you don’t know?

That’s the real problem.

Imagine investing in a smartphone manufacturer in 2005.

You could have studied every existing competitor.

You could have analysed Nokia’s balance sheet.

You could have looked at customer preferences.

You could have built an excellent five-year forecast.

But could your model have captured the possibility that a company like Apple would completely change the way people interacted with phones?

Probably not.

That’s the difference between an unexpected outcome and an unexpected category of outcome.

The first is difficult.

The second is much harder.

And this is why I am increasingly sceptical of extremely confident long-term forecasts.

Not because forecasting is useless.

But because the further you look into the future, the more likely you are to encounter things that are not in today’s framework.

Uncertainty can actually create opportunities

There is another side to all of this.

Uncertainty is not always bad.

Sometimes it is exactly what creates an opportunity.

Think about an unpopular industry.

Maybe the business is cyclical.

The accounting is complicated.

The earnings are messy.

The future is difficult to predict.

Most investors don’t want to spend time understanding it.

That can be useful.

If you can understand something the average investor doesn’t want to understand and the price gives you enough room for error, uncertainty may work in your favour.

The opportunity is not necessarily that you know the future.

It may simply be that you are being paid enough to live with not knowing it.

That’s a subtle difference.

And an important one.

But “anything can happen” is not an investment thesis

There is a dangerous interpretation of this idea.

Someone hears “the future is unknowable” and concludes:

Then valuation doesn’t matter.

That’s nonsense.

If anything, valuation matters more.

If the future is difficult to predict, you don’t want to pay a price that assumes everything goes perfectly.

You want room for disappointment.

You want a strong balance sheet.

You want management you can trust.

You want a business that can survive mistakes.

And ideally, you want some form of asymmetry.

If you are wrong, perhaps you lose 20-30%.

If you are right, perhaps the business can compound for many years.

You don’t need to know exactly which outcome will occur.

You need the payoff structure to make the uncertainty worth taking.

This also explains why position sizing matters

I have noticed that investors sometimes treat uncertainty as binary.

“I understand the company, so I can invest heavily.”

“I don’t understand it, so I would not touch it.”

Real life is not always that simple.

You might understand a business reasonably well while still being very uncertain about its long-term outcome.

In that situation, position sizing becomes part of the analysis.

You don’t have to know whether a company will become a huge success or merely an average one.

You can acknowledge the uncertainty in the amount of capital you put behind the idea.

That’s something a DCF doesn’t tell you.

Maybe the real investing skill is knowing the limits of your knowledge

We spend a lot of time trying to become better at analysing companies.

That’s obviously worthwhile.

But there is another skill that gets less attention:

knowing when your analysis has reached its limits.

You can read another annual report.

Build another scenario.

Speak to another person.

Add another variable to the model.

At some point, however, you are not reducing uncertainty.

You are just creating the feeling that you are.

That’s when intellectual humility becomes useful.

Not as an excuse to avoid making decisions.

Quite the opposite.

It helps you make better decisions with imperfect information.

So what should we actually do?

I don’t think the answer is to stop forecasting.

Forecasting is useful.

Valuation is useful.

Scenario analysis is useful.

But they should be treated as tools, not as crystal balls.

When I look at an uncertain investment, I would rather ask a few simple questions:

What do I actually know?

Which parts of my thesis are assumptions?

What could make me completely wrong?

Is there something important I haven’t considered?

Who understands this business better than I do?

And finally:

Am I being paid enough for what I don’t know?

That last question might be the most important.

The future will surprise us anyway

Every investor eventually gets surprised.

A company grows much faster than expected.

A competitor appears from nowhere.

A regulation changes.

A technology becomes obsolete.

A management team makes an unexpected decision.

Sometimes the surprise destroys the investment.

Sometimes it creates the opportunity of a lifetime.

We can’t eliminate that.

And perhaps we should not try.

The goal of investing is not to build a model that predicts every possible future.

That’s impossible.

The goal is to build a decision-making process that can survive the fact that we would not know everything.

David Ricardo didn’t know the outcome of Waterloo.

Buffett couldn’t predict when a catastrophic earthquake would occur.

They didn’t need perfect foresight.

They needed to understand the terms, recognise their edge, and make sure the potential reward justified the uncertainty.

That’s probably the most useful idea I took away from Zeckhauser’s paper.

You don’t need to know the future.

But you should know what you know.

You should know what you don’t know.

And, perhaps most importantly, you should leave some room in your thinking for the things you don’t even know you don’t know.

Because the biggest risk in investing may not be being wrong about your forecast.

It may be being so confident in your forecast that you forget the future can surprise you.

It is not about tips.
It is about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Your Extra Cash Is Sitting in a Savings Account. Is That a Mistake?

Smita — Wed, 26 Aug 2026 02:01:03 GMT

Hello and welcome back to The Finance Lens!

Here is a situation many of us can relate to.

You have ₹5 lakh sitting in your savings account.

You don’t need all of it right now.

Maybe ₹1 lakh is enough for your regular expenses and emergencies, but the remaining ₹4 lakh has simply been sitting there for months.

It feels safe.

It is accessible.

But there is a question worth asking:

Does all of your cash really need to sit in the same place?

That question can make a surprising difference to your personal finances.

Your savings account has a job. But it doesn’t have to do every job.

A savings account is excellent for liquidity.

You can access your money when you need it. You can pay bills, transfer money, withdraw cash and handle unexpected expenses.

But there is a trade-off.

The money sitting there earns the applicable savings interest rate, which may be lower than what you could potentially earn through other relatively conservative options.

This doesn’t mean you should move everything out of your savings account.

It means you should first ask:

How much cash do I actually need immediately?

Think of your cash in buckets

Instead of treating ₹5 lakh as one pile of money, think of it as several buckets.

Bucket 1: Money you may need immediately

Keep this readily accessible.

This could include:

Monthly expenses
Near-term bills
Emergency cash
Money needed for upcoming commitments

A savings account can make sense here because liquidity is the priority.

Bucket 2: Money you don’t need immediately

Now suppose ₹2-3 lakh won’t be required for the next 6-12 months.

This is where you can start looking at alternatives such as fixed deposits or sweep-in/auto-sweep facilities, depending on your bank and circumstances.

The objective is not necessarily to maximise returns.

It is to earn a better return without taking unnecessary risk with money that already has a near-term purpose.

What happens when you move excess cash into an FD?

Let’s use a simple example.

Suppose you have:

₹5,00,000

And you don’t expect to need ₹3,00,000 of it for the next year.

You could compare the applicable savings-account rate with the applicable FD rate.

For illustration, imagine:

Savings account: 3%
FD: 6.5%

The difference is 3.5 percentage points.

On ₹3 lakh, that’s roughly:

₹3,00,000 × 3.5% = ₹10,500

That’s ₹10,500 of additional gross interest over a year, before considering taxes and the exact way the bank calculates interest.

The important point isn’t the exact number.

Rates change.

The lesson is this:

A small difference in interest rates can become meaningful when the balance is large enough and the money stays invested long enough.

But there’s a catch: liquidity

This is where people often make the mistake of chasing the highest interest rate.

Imagine you put your entire ₹5 lakh into an FD because the rate looks attractive.

Then, three months later, you suddenly need ₹2 lakh.

You may have to break the FD or make a premature withdrawal, depending on the bank’s rules.

You may lose some interest or face other conditions.

So the question isn’t:

“Where can I get the highest interest?”

A better question is:

“Where can I earn a reasonable return while keeping the money available when I actually need it?”

That’s a much better personal-finance question.

The underrated option: Sweep-in FD

If you frequently keep a large balance in your savings account, check whether your bank offers an auto-sweep or sweep-in FD facility.

The basic idea is simple.

You maintain a certain amount in your savings account.

Excess money can automatically be moved into an FD.

When you need additional money, the bank may allow the required amount to be withdrawn/broken from the linked FD, subject to its rules.

This can provide a useful combination of:

Liquidity + potentially higher interest

But don’t assume every sweep facility works the same way.

Check:

Minimum balance requirements
FD tenure
Premature withdrawal rules
How partial withdrawals work
Applicable interest rates
Any fees or conditions

What about liquid mutual funds?

You may also come across liquid mutual funds when looking for short-term cash-management options.

But don’t confuse them with savings accounts or bank FDs.

A liquid mutual fund is a mutual fund investment, not a bank deposit.

The return isn’t guaranteed, and the risk, taxation and liquidity characteristics are different.

So don’t choose one simply because someone says:

“It gives a higher return than a savings account.”

First understand what you are giving up to get that additional return.

Don’t forget taxes

This is another part people often ignore.

Suppose one option gives you a higher headline interest rate.

That doesn’t automatically mean you will earn a higher post-tax return.

Interest income can have tax implications depending on your circumstances and the type of product.

So when comparing options, think beyond:

6% vs 7%

Think:

What do I actually keep after tax?

That’s the number that matters to your wealth.

A simple framework for your extra cash

Before moving money anywhere, ask yourself four questions:

1. When will I need this money?

Tomorrow?

Three months?

One year?

Five years?

The answer changes where it belongs.

2. How much must remain instantly accessible?

Don’t lock away money that could be required for an emergency.

3. Am I comfortable with the lock-in?

Higher interest can sometimes come with reduced flexibility.

4. What is my real return?

Consider:

Interest + taxes + liquidity + risk

Not just the advertised rate.

So, what should you actually do?

Let’s return to our ₹5 lakh example.

You might think about it like this:

₹1-2 lakh

→ Keep readily accessible for regular needs and emergencies.

₹2-3 lakh

→ If genuinely not required in the near term, consider options such as an FD or sweep-in FD after comparing current rates and terms.

Money you won’t need for several years

→ Don’t automatically keep it as cash. Depending on your financial goals and risk tolerance, it may deserve a broader investment decision.

The exact split will be different for everyone.

There is no universal “best” allocation.

The bigger lesson

We often ask:

“How can I earn more on my money?”

But that’s not always the right first question.

A better question is:

“What job does this money need to perform?”

Money needed tomorrow needs liquidity.

Money needed next year may be able to accept some lock-in.

Money that isn’t needed for many years can be evaluated for long-term investing.

The mistake is treating all three as the same.

One simple rule to remember

Don’t chase the highest interest rate. Match the return to the job your money needs to do.

Your savings account isn’t necessarily a bad place for your money.

It may simply be the wrong place for all of your money.

Sometimes the easiest improvement to your personal finances isn’t earning more.

It is making sure the money you already have is working appropriately for you.

Final thought

Before you leave ₹5 lakh, ₹10 lakh or ₹20 lakh sitting untouched in a savings account for another year, pause and ask:

“How much of this money actually needs to be liquid today?”

That one question can be worth more than another hour spent searching for the “best investment.”

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

^{Finance Notebook is a reader-supported publication. If you enjoy practical investing insights and thoughtful finance articles, consider becoming a subscriber. Your support helps me continue creating content that simplifies investing and helps us all become better investors.}

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

When a Good Business Becomes a Difficult Stock

Smita — Wed, 19 Aug 2026 02:01:42 GMT

Hello and welcome back to The Finance Lens!

There is a strange moment in investing that doesn’t get talked about enough.

You bought a great company at ₹500.
It is now ₹800.
The business is better than when you bought it.
But the stock feels harder to buy.

What do you do?

You find a company you really like.

The business is growing. Customers are staying. Margins are improving. Management seems sensible. You spend weeks understanding it, and eventually you decide:

I want to own this.

Then the stock rises 30%.

Nothing about the business has become worse.

But buying it suddenly feels much harder.

This is where investing gets interesting.

Because finding a good business is only half the job. The other half is knowing what you should do when the evidence starts pulling in different directions.

The hard part isn’t finding a good business. It is knowing when the price has gone too far.

The stock goes up. Do you buy more?

Suppose you bought a stock at ₹500 because you believed the business was worth considerably more.

A year later, the stock is at ₹650.

The easy answer is to say, “The company is doing well, so I should keep buying.”

But the stock isn’t the same investment it was at ₹500.

You are now paying a higher price for the same underlying business.

Maybe earnings have grown enough to justify part of the increase. Maybe they haven’t.

That distinction matters.

A business becoming better does not automatically mean its stock is becoming cheaper.

Sometimes the right decision is simply to hold.

That’s an uncomfortable answer because investors often feel they have to do something.

They don’t.

Then comes the disappointing quarter

This is where another mistake happens.

The company reports weak quarterly numbers.

Revenue growth slows. Margins fall. The stock drops 15%.

The immediate reaction is often:

“Something is wrong.”

But what exactly is wrong?

If your original thesis was that the company had a strong competitive advantage, growing demand and a long runway for reinvestment, one weak quarter may not change much.

On the other hand, if the disappointing quarter reveals that customers are leaving, competitors are taking market share, or the company’s economics are permanently deteriorating, that’s different.

The important question isn’t:

“Did the stock fall?”

It is:

“Did the reason I bought the stock change?”

Those are two very different questions.

A falling stock can mean two completely different things

Imagine you bought a company because you believed its business could earn ₹100 per share in a few years.

The stock falls 20%.

There are now two possibilities.

The market has become more pessimistic while the business remains largely intact.

Or the market has noticed something you missed.

The price movement alone cannot tell you which one it is.

That’s why a falling stock isn’t automatically a buying opportunity.

Sometimes a lower price gives you a better entry point.

Sometimes it is simply a warning arriving before the financial statements fully show the damage.

This is why “buy the dip” is such an incomplete investing idea.

You need to know what you are buying the dip in.

And then there is the uncomfortable problem of being right

Perhaps the company does everything you hoped.

Earnings grow faster than expected.

Cash flow improves.

The competitive position gets stronger.

The market notices.

The stock doubles.

Now what?

This is probably harder than buying during a decline.

When you are wrong, the decision feels obvious.

When you are right, greed starts making the decisions for you.

You begin thinking:

“If it has doubled, maybe it can double again.”

Of course it can.

But the question has changed.

You are no longer asking whether the business is good.

You are asking whether the current price still offers an attractive return from here.

A wonderful business can become an unattractive investment if too much future success is already reflected in the price.

Quality does not cancel valuation.

This is why I think investors should write down their “mind-changing evidence”

Before buying a stock, most people write down why they like it.

Very few write down what would prove them wrong.

That second list may be more useful.

If I believe a company’s advantage comes from pricing power, what happens if it starts discounting heavily?

If I believe growth will come from new stores, what happens if new-store economics deteriorate?

If I believe management allocates capital well, what would make me question that?

If I believe today’s high valuation is justified by future growth, how much growth is already priced in?

These questions turn an investment thesis from a story into something you can actually test.

The stock price should not become the thesis

One of the easiest ways to get trapped is to slowly replace the original reason for owning a company with the behaviour of its stock.

The stock goes up, so we become more confident.

The stock falls, so we become doubtful.

But neither movement necessarily tells us anything about the underlying business.

Imagine buying a restaurant because you think it has the best location in town.

Six months later, its shares fall because the overall market is weak.

Has the restaurant’s location become worse?

No.

Now imagine the shares keep rising while the restaurant starts losing customers and cutting prices.

The stock is telling you one story.

The business is telling you another.

Which one deserves your attention?

For a long-term investor, the answer should usually be the business.

So what should an investor actually do?

I don’t think there is one universal answer.

Sometimes you add.

Sometimes you hold.

Sometimes you wait.

Sometimes you sell.

The useful question is what evidence separates those decisions.

A rising price shouldn’t automatically make you sell.

A falling price shouldn’t automatically make you buy.

A weak quarter shouldn’t automatically break your thesis.

And a great quarter shouldn’t automatically strengthen it.

Instead, ask:

What did I believe when I bought this company?

What evidence would confirm that belief?

What evidence would weaken it?

And at today’s price, is the potential return still worth the risk?

That last question is easy to forget when you have fallen in love with the business.

But investing isn’t a competition to find the company you like most.

It is a decision about where the expected return is attractive today.

A good business deserves your attention.

A good price deserves it too.

And perhaps the most valuable habit an investor can develop is not knowing when to buy.

It is knowing what would make them change their mind.

Investing isn't just about finding good businesses. It is about knowing what evidence should change your mind and what shouldn't.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

- Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

The Best Investment I Never Made Taught Me More Than the Ones I Did

Smita — Wed, 12 Aug 2026 02:16:27 GMT

Hello and welcome back to The Finance Lens!

A few years ago, a friend called me, clearly excited.

“This sector is going to explode,” he said. “Everyone is talking about it. You should buy something before it’s too late.”

I asked him one simple question.

“Which company?”

There was silence for a few seconds.

He knew what he liked about the industry. He just hadn’t figured out which business he actually wanted to own.

That conversation changed the way I think about a lot of investment ideas.

We often start with the big story.

Housing will grow.

Electric vehicles will take off.

Defence spending will increase.

India’s consumption story is getting bigger.

Maybe all of these things are true. But there is a missing step between a growing industry and a good investment.

Which business is actually going to capture the opportunity?

That is where bottom-up investing starts.

You look at the company before you get carried away by the story.

Before buying the stock, understand the business behind it.

Asian Paints is a good example because the story isn’t as simple as it first appears

Take Asian Paints.

It would be easy to write the usual things: strong brand, large distribution network, good financials.

But that’s not really analysis.

What interests me more is what happens when you look underneath the brand.

In FY2025–26, Asian Paints had 2.29 million KL per annum of installed in-house decorative paint manufacturing capacity in India, 74 Beautiful Homes stores and served customers across 60+ countries. Its decorative and home decor business accounted for ₹30,830.4 crore, or 86.8% of revenue, according to the company’s annual report.

Those are large numbers.

But a bottom-up investor should not stop at the numbers.

Ask what they represent.

A factory is easy to count.

A brand is easy to recognise.

A store is easy to photograph.

The harder thing to see is the system connecting all of them.

Distribution. Dealers. Contractors. Manufacturing. Product development. Supply chains. Services. Customer relationships.

That system has taken years to build.

And that is where the competitive advantage becomes more interesting.

The difficult year matters more than the perfect year

FY2024–25 wasn’t a particularly comfortable year for Asian Paints.

Demand was weak. Consumers were becoming more cautious. The company faced downtrading, increased competition and pricing pressure.

So FY2025–26 is interesting partly because the business improved.

But I don’t think the right conclusion is simply, “The company recovered.”

The better question is:

What exactly recovered?

On a standalone basis, revenue from products and services increased 4.3% to ₹30,680.2 crore in FY2025-26. EBITDA increased 12.43% to ₹7,113.1 crore, while free cash flow increased 110.4% to ₹5,566.7 crore. ROCE moved from 28.4% to 28.9%.

The numbers are encouraging.

But notice something unusual.

Revenue grew 4.3%.

EBITDA grew more than 12%.

Free cash flow more than doubled.

That gap is where the interesting research begins.

A bottom-up investor shouldn’t just copy these numbers into a spreadsheet and move on.

I would want to understand what drove the change.

Was it better margins?

Lower costs?

Working-capital movement?

Capital expenditure?

A combination of several things?

The annual report gives us the evidence to investigate. It doesn’t mean we should invent a simple explanation when the reality is more complicated.

That’s an important habit in investing.

When the numbers surprise you, investigate. Don’t immediately create a story to explain them.

The business is changing too

There is another detail in the FY2025–26 annual report that I find more interesting than the headline financial numbers.

Asian Paints describes a strategic shift from a product-centric model towards an integrated products-and-services platform.

That sounds like corporate language until you look at what the company is actually doing.

During FY2025–26:

175,000+ customers used Beautiful Homes Painting Services.

More than 3,900 dealers participated in the service.

The company also reported 40,800+ customers serviced through Trusted Contractor Service.

It is also using technology, including a digital AI platform for Total Assure, while expanding areas such as kitchens, wardrobes, bath fittings and home decor.

Now the investment question becomes much more interesting.

Asian Paints already has a large customer and distribution ecosystem around its paint business.

Can that existing relationship help it sell more products and services around the home?

If yes, the opportunity is larger than simply selling more paint.

If no, some of these new businesses could end up consuming capital without generating attractive returns.

We don’t know the final answer yet.

And that’s okay.

A good investor doesn’t need certainty about everything.

Sometimes the job is to identify what needs to be watched.

This is where bottom-up investing becomes useful

Imagine you are researching Asian Paints.

You could spend your time trying to predict India’s GDP in 2030.

You could debate where interest rates will be next year.

You could spend hours reading predictions about the Indian housing market.

All of those things have some value.

But you can also spend an afternoon reading the annual report and asking much more concrete questions.

Why do dealers continue to work with the company?

How difficult would it be for another paint company to reproduce its distribution and supply chain?

Are new products increasing customer spending or simply adding complexity?

Are the new services generating attractive returns?

What is happening to margins?

Is cash generation keeping pace with profits?

And perhaps the most important question:

Is the company’s competitive advantage becoming stronger or weaker?

Those questions are difficult to answer with a television interview.

They require actually studying the business.

A moat is not a certificate

This is something I think investors sometimes forget.

Why invest so heavily in these areas if the existing business were enough to drive growth indefinitely?

It isn’t.

Asian Paints’ FY2025-26 report itself highlights several growth initiatives: stronger brand building, regional market expansion, innovation, B2B expansion, services and backward integration.

Why spend so much effort on these areas if the existing position were enough forever?

Because markets change.

Competitors change.

Customers change.

Costs change.

A business that was excellent ten years ago has to keep earning its position.

This is why I find FY2025–26 more useful than simply looking at Asian Paints’ historical success.

The company isn’t sitting still.

It is building on its existing strengths while looking for new areas of growth.

Whether all those efforts will produce attractive returns is something investors have to watch.

The financial statements can keep you honest

This is one of the reasons I prefer bottom-up investing to investing purely from narratives.

A story can sound wonderful.

The numbers eventually have to support it.

Suppose management says the business is becoming more efficient.

You can look at margins and returns.

If management says the company is generating strong cash, check operating cash flow and free cash flow.

If management says a new business is gaining traction, eventually you want to see whether it can become economically meaningful.

The FY2025-26 figures give us a good example.

Revenue from products and services rose 4.3%, while EBITDA rose 12.43% and free cash flow rose 110.4%.

That doesn’t automatically make the company a better investment.

It simply gives us something concrete to investigate.

That’s what research should do.

It should create better questions.

And then, only after all this, comes the stock price

This part is easy to forget when you are studying a good business.

A great business can still be a bad investment at the wrong price.

If I offered you a wonderful local business earning ₹10 lakh a year, you would probably want to understand it.

But if I asked you to pay ₹10 crore for it, you would need a very different level of confidence about its future.

Stocks work the same way.

First understand the business.

Then estimate what you think it can reasonably earn in the future.

Then consider what you are paying today.

A bottom-up investor isn’t saying valuation doesn’t matter.

Quite the opposite.

You can’t value a business intelligently until you understand the business.

What I would actually do with a company like Asian Paints

I wouldn’t buy it simply because the FY2025–26 numbers improved.

I would keep a list of things I want to watch.

Does the recovery continue?

Do margins remain healthy?

Does the company’s distribution advantage remain strong?

Do its new home decor and service businesses generate good returns?

Does competition force the company to spend more to protect its position?

Does free cash flow remain strong after the recent improvement?

And perhaps most importantly, does management continue to allocate capital sensibly?

You don’t need to answer all of these questions today.

You need to know which questions matter.

That, to me, is the real value of bottom-up investing.

The stock is the last thing I want to understand

The stock price is visible everywhere.

The business is not.

You can watch Asian Paints move sharply in a day without learning anything new about the business.

But you can spend two hours reading its annual report and suddenly understand something you didn’t know yesterday.

That difference matters.

The market will continue to tell us what other investors are willing to pay.

The annual report tells us what the company is actually doing.

I would rather understand the second one first.

Because when you eventually decide whether the stock is attractive, you are no longer buying a ticker symbol.

You are making a judgement about a real business with real customers, real competitors, real employees, real cash flows and real risks.

And that is what bottom-up investing is really about.

Before asking where the stock is going, understand where the business is going.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

– Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Don't Start a SIP Until You Check These Mutual Fund Factors

Smita — Wed, 05 Aug 2026 02:15:23 GMT

Hello and welcome back to The Finance Lens!

When we start investing through SIP, the first thought that comes to our mind is:

“Which mutual fund should I invest in?”

Many of us search for the fund that gave the highest return in the last year and start investing.

I think this is where we make our first mistake.

A good mutual fund is not always the one that gave the highest return recently.

The real question is:

Can this fund create wealth consistently for the next 10 years?

Before choosing any mutual fund, these are the things I personally check.

Don't chase returns. Understand the fund.

First, understand your goal

Before selecting a fund, I ask myself:

“Why am I investing this money?”

Is it for retirement?

Children’s education?

Buying a house?

Or long-term wealth creation?

The time period matters a lot.

If I need money in the next 2–3 years, I would not depend on equity mutual funds because markets can fall anytime.

But if my goal is 10 years away, short-term market movements become less important.

Good investing needs time.

Don’t choose a fund only because it gave high returns

This is probably the most common mistake.

A fund gives a 40% return in one year, and everyone starts talking about it.

But one good year does not tell the complete story.

I would rather choose a fund that has performed reasonably well for many years than a fund that became popular suddenly.

I check:

5-year performance
10-year performance (if available)
Performance during difficult market periods

Consistency matters more than one lucky year.

Compare the fund with its benchmark

Every mutual fund has a benchmark.

The benchmark helps us understand whether the fund manager is actually adding value.

For example:

If a fund gives 14% return and its benchmark gives 13%, the fund manager has created some additional value.

But if the fund gives almost the same return as the benchmark and charges higher fees, I would think twice.

Sometimes a simple index fund can be a better option.

I always check how the fund behaves during market falls

Many investors only look at how much a fund earns when markets are rising.

But I believe the real test comes when markets fall.

During a bad market:

Does the fund fall much more than others?
Does it recover faster?
Does the fund manager take unnecessary risks?

A fund that protects money during difficult times can create better long-term results.

Because losing money hurts more than missing some extra gains.

Look at what companies the fund owns

Before investing, I like to know where my money is going.

I check:

Which companies are in the portfolio?
Are these businesses financially strong?
Is the fund investing only in one sector or theme?

A mutual fund is ultimately investing in businesses.

Good businesses usually create better long-term wealth.

Don’t ignore expenses

Expense ratio may look like a small number, but over 15–20 years it can make a difference.

A lower cost means more money stays invested.

However, I don’t choose a fund only because it is cheap.

A good fund with slightly higher expenses can still be better if it delivers consistent results.

Don’t buy too many funds

Many investors think:

“More mutual funds means more safety.”

But this is not always true.

Sometimes different funds own the same companies.

Instead of buying 8–10 funds, I prefer having a few good funds that match my goals.

Simple is usually better.

How long should we stay invested?

Equity mutual funds need patience.

The market will not go up every year.

There will be:

Corrections
Crashes
Bad economic periods

During these times, many investors stop their SIP or withdraw money.

But wealth creation happens when we give good investments enough time.

For equity mutual funds, I prefer thinking in terms of 7–10 years, not 1–2 years.

My simple checklist before starting a SIP

Before investing, I ask:

Do I understand this fund?
Does it match my goal?
Has it performed well across different market cycles?
Is the portfolio made of good companies?
Are the costs reasonable?
Can I stay invested for many years?

For me, the best mutual fund is not the one that is number one today.

It is the one that I can understand, trust, and hold patiently for a long time.

Because in investing, patience and discipline usually create more wealth than chasing the next big winner.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

– Smita 💚

^{Finance Notebook is a reader-supported publication. If you enjoy practical investing insights and thoughtful finance articles, consider becoming a free subscriber. Your support helps me continue creating content that simplifies investing and helps us all become better long-term investors.}

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Sector Rotation: One Investing Skill That Can Change How You See the Stock Market

Smita — Wed, 29 Jul 2026 02:15:07 GMT

Hello and welcome back to The Finance Lens!

A few years ago, I noticed something that didn’t make sense.

One year, everyone wanted IT stocks. Every discussion on TV, every YouTube video and every social media post was about technology companies. It felt like they could do no wrong.

Then, almost quietly, things started changing.

People stopped talking about IT, and suddenly banks were everywhere. A little later, defence stocks became the new favourite. Then power companies, then capital goods.

At first, I thought this was just how the stock market behaved. Investors got bored of one sector and moved to another.

But the more I learnt, the more I realised that wasn’t true.

Money wasn’t moving randomly. It was moving because something in the economy had changed.

That movement is called sector rotation.

It sounds like a complicated term, but the idea is actually very simple. Once you understand it, you will stop looking at the market as hundreds of individual stocks and start seeing the bigger picture.

And honestly, I think that’s one of the biggest differences between an average investor and a good one.

Most investors chase yesterday's winning sector. Better investors ask a different question: Where is money moving next? That's where sector rotation becomes powerful.

What is sector rotation?

Let’s forget complicated definitions.

Imagine you own a shopping mall.

Inside the mall are different types of shops. Clothing stores, electronics, restaurants, bookstores and supermarkets.

Now imagine customers suddenly start spending more money on electronics than clothes. The electronics stores become busier, while clothing stores see fewer customers.

The mall hasn’t changed.

The customers have simply changed where they spend their money.

The stock market works in almost the same way.

Instead of customers, you have investors.

Instead of shops, you have sectors.

Banks, IT, pharma, auto, metals, real estate, power, FMCG, chemicals, defence and many others.

Investors don’t keep putting money into the same sector forever.

As their expectations about the future change, they slowly move money from one sector to another.

That’s sector rotation.

It’s simply money changing direction.

The market always looks ahead

This is probably the biggest lesson I learnt.

Most new investors think stock prices move because companies report good results.

Sometimes that’s true.

But very often, stock prices move before the good results arrive.

Why?

Because the market isn’t trying to value today’s business.

It’s trying to value tomorrow’s business.

Imagine you own a bakery.

If you already know that a large office building is opening next door in six months, you will probably expect more customers in the future.

Would you wait six months before expanding?

Probably not.

You will prepare today.

Investors think the same way.

If they believe a sector will perform better over the next year or two, they don’t wait for perfect numbers.

They start buying early.

That’s why you will often hear people say, “The market discounts the future.”

It simply means prices move before the headlines become obvious.

Why does money leave one sector and enter another?

There isn’t one single reason.

Usually, several things happen together.

But after watching the market for years, I have realised most sector rotations begin because expectations change.

Let’s look at a few examples.

Economic growth

When the economy is doing well, businesses become more confident.

Companies build new factories.

People buy more cars.

Banks give more loans.

Developers launch more housing projects.

Naturally, sectors connected to growth often perform well.

Now imagine the economy starts slowing.

Consumers become cautious.

Companies postpone expansion plans.

Loan demand weakens.

Suddenly investors start looking for businesses that can perform even in a slower economy.

Healthcare companies, consumer staples and other defensive sectors often receive more attention.

The businesses didn’t suddenly become better.

The economic environment changed.

Interest rates

Interest rates don’t make exciting headlines, but they influence almost every business.

Think about buying a house.

If home loan rates fall, more families start thinking about buying.

Builders sell more homes.

Banks give more loans.

Cement demand improves.

Paint companies receive more orders.

Furniture sales increase.

One change creates a chain reaction.

Now think about the opposite.

If borrowing becomes expensive, many people postpone large purchases.

Companies also become careful about expanding.

That’s why changes in interest rates often lead to sector rotation.

Government spending

Governments can change the outlook for entire industries.

Suppose the government announces a massive investment in highways, railways and ports.

The obvious beneficiaries might be construction companies.

But don’t stop there.

Roads need cement.

They need steel.

They need engineering companies.

Heavy equipment manufacturers receive more orders.

Banks finance many of these projects.

One announcement can improve the outlook for several industries at the same time.

Good investors don’t just look at the first winner.

They try to understand the entire chain.

Commodity prices

Sometimes one price changes everything.

Take crude oil.

If oil prices rise sharply, oil producers may benefit.

At the same time, airlines face higher fuel costs.

Paint companies may see higher input costs.

Transport businesses may experience lower margins.

One event creates both winners and losers.

This is another reason why money starts moving between sectors.

The mistake most investors make

I have made this mistake myself.

A sector performs well for months.

News channels begin discussing it every day.

Experts explain why it is the future.

Friends start buying those stocks.

Social media fills with success stories.

That’s usually when many retail investors finally become interested.

The problem is that professional investors often entered much earlier.

They were not reacting to the news.

They were reacting to changing conditions months before the news became popular.

This doesn’t mean every popular sector will suddenly crash.

It simply means the easy money is often made before everyone starts talking about it.

That’s an important difference.

How do professionals spot sector rotation?

This question doesn’t have one perfect answer.

Even experienced investors get it wrong.

But they usually spend less time looking for “hot stocks” and more time trying to understand what is changing in the economy.

That’s a very different way of thinking.

Instead of asking,

“Which stock should I buy?”

they first ask,

“What’s changing in the world?”

Once they have an answer, they start looking for businesses that might benefit.

That process sounds simple, but it changes everything.

A framework I try to follow

Whenever I notice a sector becoming popular, I slow down and ask myself a few questions.

The first question is very simple.

What changed?

Did interest rates fall?

Did government policy change?

Has demand improved?

Have exports increased?

Has supply become limited?

Every big move usually begins with some change in the real world.

The second question is equally important.

Is this temporary or long-term?

Some trends disappear after a few months.

Others continue for years.

Learning to separate short-term excitement from long-term change is one of the hardest parts of investing.

Then I ask another question.

Are company earnings actually improving?

Stories are exciting.

Profits matter more.

Eventually, stock prices need support from improving earnings and cash flows.

Finally, I ask myself something that sounds simple but is surprisingly useful.

Is everyone already talking about this?

If every newspaper, every YouTube channel and every social media account is discussing the same sector, expectations may already be very high.

Sometimes that’s still fine.

But I become a little more careful.

You don’t need to predict every rotation

One misconception about sector rotation is that you should constantly jump from one sector to another.

I don’t think that’s practical.

Even professionals can’t perfectly predict every move.

The real value of understanding sector rotation isn’t frequent trading.

It is understanding why the market behaves the way it does.

When you understand that, you are less likely to panic.

You are also less likely to buy something simply because everyone else is buying it.

That alone can improve your investing decisions.

Here’s a simple exercise

The next time quarterly results begin, don’t start by looking at profits.

Instead, make a list of companies from the same sector.

Read what their management teams are saying.

Are several companies talking about improving demand?

Are they receiving more orders?

Are customers becoming more confident?

Or are they all mentioning weaker demand and slower growth?

When different management teams start saying similar things, there is usually a bigger story developing.

That’s often more useful than focusing on one company’s earnings.

Another habit that helped me

I used to read annual reports company by company.

Now I sometimes read them sector by sector.

Suppose I want to understand the banking industry.

Instead of reading one bank’s report, I will read four or five.

You will be surprised how much you learn.

One bank might mention rising competition.

Another talks about improving credit growth.

A third discusses deposit costs.

Slowly, a bigger picture starts forming.

The same approach works for almost every industry.

Don’t confuse a good company with a good sector

This is something many investors overlook.

A fantastic company can struggle if its entire industry is going through a difficult period.

At the same time, an average company can sometimes perform well simply because the whole sector is benefiting from favourable conditions.

That doesn’t mean you should buy weak businesses.

It simply means sectors matter more than many people realise.

Good companies and strong sectors together often create the best opportunities.

The market is always telling a story

Every sector that becomes popular is usually reflecting something happening in the real economy.

Maybe businesses are investing more.

Maybe consumers are spending less.

Maybe commodity prices have changed.

Maybe government policy has shifted.

Maybe interest rates are moving.

Stock prices are often the market’s way of saying,

“Something is changing.”

Our job as investors isn’t to react to every price movement.

It’s to understand the story behind it.

Final thoughts

When I first heard the term sector rotation, I assumed it was something traders worried about.

I was wrong.

The more I learnt, the more I realised it’s actually one of the best ways to understand how the market thinks.

You don’t need to predict every rotation.

You don’t need to trade every few months.

But if you can understand why money is moving, you will stop looking at stocks in isolation.

Instead of asking, “Why is this stock going up?”

you will start asking, “What’s happening in this entire industry?”

That’s a much better question.

Because in the stock market, money rarely moves one company at a time.

More often than not, it moves in groups.

Learning to recognise those groups and understanding why they are changing, won’t guarantee investment success.

But it will help you see the market through a completely different lens.

And in investing, seeing the bigger picture is often a bigger advantage than finding the next hot stock.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

– Smita 💚

^{Thank you for reading The Finance Lens! I spend an entire week researching, verifying data, and simplifying these insights so you get clarity without the noise. If this newsletter adds value to your day, tapping the ❤️ or sharing it helps this work reach more thoughtful readers like you. If you haven’t yet, consider subscribing for free - it keeps you connected to fresh, honest market insights every week because investing wisdom grows deeper when we grow together.}

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

AI Is a Great Story. But Is It a Great Investment?

Smita — Wed, 22 Jul 2026 04:29:29 GMT

Hello and welcome back to The Finance Lens!

If you have followed the markets recently, you have probably noticed one theme dominating almost every conversation: AI.

But before we talk about companies and valuations, it is worth remembering that every investing cycle begins with a compelling story.

The internet changed communication.

Smartphones changed computing.

Cloud computing transformed enterprise software.

Artificial intelligence could become even bigger.

That story is becoming harder to argue against. Nearly every major technology company now describes AI as the defining investment opportunity of this decade. Every earnings call mentions it. Every product launch highlights it. Markets have rewarded companies seen as AI leaders with hundreds of billions of dollars in additional market value.

But investing has always required separating a great business story from a great investment opportunity.

The two often overlap, but not always.

History offers plenty of reminders. Railroads reshaped America, airlines transformed global travel, and the internet changed almost every industry. Yet many investors who bought into these revolutions at the peak of excitement earned disappointing returns because competition, excessive capital spending, and optimistic valuations consumed much of the economic value.

The technology succeeded.

Many investments didn’t.

That distinction makes AI worth studying through financial statements rather than headlines.

One number changed how I think about AI

While reading recent annual reports and capital spending plans, one figure stood out.

According to company guidance compiled by Statista, Meta, Microsoft, Alphabet and Amazon are expected to spend nearly $725 billion on capital expenditure in 2026 alone.

This isn’t normal expansion spending.

It is one of the largest coordinated infrastructure investment cycles ever undertaken by private companies.

Capital expenditure by Meta, Microsoft, Alphabet and Amazon has accelerated sharply over the past four years. Combined AI-related infrastructure spending is expected to reach nearly $725 billion in 2026, reflecting one of the largest private-sector investment cycles in history.

At first glance, this looks like a vote of confidence in AI.

But looking deeper, it reveals something else.

The AI revolution is not being built primarily through software.

It is being built through physical assets.

Data centres.

Networking equipment.

Power infrastructure.

Custom chips.

Cooling systems.

This matters because infrastructure businesses behave differently from software businesses. They demand continuous investment before producing returns.

That changes the economics.

The market is talking about AI. The financial statements are talking about infrastructure.

One chart surprised me more than any earnings presentation.

More than half of global AI spending is expected to go toward infrastructure rather than software.

AI spending is heavily concentrated in infrastructure rather than applications. Approximately 54% of spending is expected to go toward data centres, chips, networking and supporting infrastructure, suggesting the industry remains in its investment phase rather than its monetisation phase.

Every major segment of the AI ecosystem is expanding, but infrastructure continues to receive the largest share of investment. This suggests that companies are still building capacity before fully capturing economic returns.

This explains why companies far outside traditional software have become central to the AI conversation.

Nvidia builds the chips.

TSMC manufactures them.

Broadcom supplies networking.

Vertiv designs cooling systems.

Utilities supply electricity.

Before AI generates meaningful economic value, someone has to build the digital equivalent of highways, ports and power plants.

That is where much of today’s spending is going.

Revenue growth is easy to celebrate. Capital intensity is harder to ignore.

Technology investors naturally focus on revenue growth.

But capital allocation often tells a more complete story.

Imagine two businesses that each generate an additional $10 billion in annual revenue.

One requires $2 billion of new investment.

The other requires $20 billion.

The revenue numbers look identical.

The shareholder economics are completely different.

That is why capital expenditure deserves more attention than it currently receives.

Across the largest technology companies, capital spending has accelerated much faster than revenue over the last two years.

The obvious interpretation is optimism.

A less obvious interpretation is that AI may require far more capital than previous software revolutions.

If true, future returns on invested capital may not look as extraordinary as investors currently expect.

Cash flow deserves more attention than earnings

One accounting detail is easy to overlook during periods of heavy investment.

Capital expenditure does not immediately reduce operating profit.

Instead, those investments appear gradually through depreciation over several years.

As a result, earnings can remain healthy while free cash flow comes under pressure.

That makes this comparison increasingly important.

If capital expenditure continues growing faster than operating cash flow for many years, investors should begin asking harder questions.

Not because the investment is necessarily wrong.

But because every dollar invested eventually needs to earn an acceptable return.

AI may become infrastructure rather than differentiation

One possibility receives surprisingly little attention.

Today, AI feels like a competitive advantage.

In ten years, it may simply become table stakes.

Electricity once differentiated factories.

Eventually everyone had electricity.

Cloud computing once differentiated software companies.

Today almost every enterprise software company runs on the cloud.

AI could follow the same path.

If that happens, competitive advantage will shift away from having AI toward using AI more effectively than competitors.

That would make execution, not technology, the primary source of long-term returns.

The biggest winners may not be who investors expect

One question kept coming back while reviewing spending data.

Who actually benefits from all this investment?

History suggests that suppliers often capture exceptional economics during major infrastructure cycles.

The California Gold Rush produced relatively few wealthy miners.

Companies selling picks, shovels and workwear often generated steadier profits.

The AI ecosystem shows a similar pattern.

That doesn’t automatically make these companies attractive investments.

Many already trade at demanding valuations.

But it highlights an important distinction.

The companies creating excitement are not always the companies capturing the highest long-term returns.

Markets reward ambition first. Discipline later.

Technology cycles often follow a familiar pattern.

Initially, investors reward companies announcing the largest investments.

Years later, attention shifts.

The questions become different.

Global AI spending is expected to continue growing rapidly through 2030, supporting today's aggressive investment cycle. For investors, however, market growth is only part of the equation; the more important question is whether this spending ultimately generates attractive returns on invested capital.

Did those investments improve margins?

Did free cash flow recover?

Did returns on capital increase?

Or did every competitor simply spend enormous amounts chasing the same opportunity?

Annual reports eventually answer these questions.

Press releases rarely do.

What I’ll be watching over the next five years

Rather than trying to predict AI winners today, I’d rather track a handful of measurable indicators.

These questions won’t be answered in keynote presentations.

They’ll be answered in future financial statements.

Final thoughts

Reading annual reports over the past year, one conclusion keeps becoming clearer.

The debate is no longer about whether AI matters.

Management teams have already answered that question with their capital budgets.

The more interesting question is whether these extraordinary investments will earn returns above their cost of capital.

That answer won’t come from product launches or ambitious forecasts.

It will emerge slowly in cash flow statements, return on capital, depreciation schedules, and operating margins.

Artificial intelligence will almost certainly reshape the global economy.

But investing has never been about identifying important technologies.

It has been about identifying businesses that can convert technological change into durable economic returns.

The story already belongs to AI.

The investment case still belongs to the numbers.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

– Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

How to Read Quarterly Results Like an Investor

Smita — Wed, 15 Jul 2026 02:12:32 GMT

Hello and welcome back to The Finance Lens!

The Q1 FY2026-27 earnings season has begun.

Over the next few weeks, hundreds of listed companies will report their quarterly results. Financial news will be filled with headlines like:

Revenue up 14%
Profit jumps 22%
EBITDA margin expands
Company beats estimates

These numbers are useful, but they rarely tell the whole story.

Two companies can report the same revenue growth and yet be heading in completely different directions. One may be gaining market share through higher sales volumes, while the other is relying on price increases. One may be generating strong cash flows, while the other’s profits exist mostly on paper.

The difference isn’t obvious from the headline.

That’s why earnings season is one of the best times to study a business, not by asking whether revenue or profit went up, but by asking why.

This article isn’t about decoding accounting jargon or memorising financial ratios. It’s about learning to think the way an investor does when reading quarterly results.

Once you start asking better questions, every earnings report becomes more than a collection of numbers. It becomes another piece of evidence about how the business is changing.

Here are the questions I find myself asking every quarter.

1. Revenue Grew. But What Actually Drove It?

Revenue growth is usually the first number investors notice.

Ironically, it is often the least informative.

Imagine two companies.

The growth looks identical.

But Company A raised prices while volumes stayed flat.

Company B sold 18% more products but accepted slightly lower prices.

Those are two very different businesses.

One may have pricing power.

The other may be gaining market share.

The quarterly presentation often gives clues through volume disclosures, average selling prices (ASPs), management commentary or segment data.

If volume is rising consistently, it usually suggests genuine demand.

If growth comes only from higher prices, the next question becomes obvious:

Can customers continue paying those prices?

That answer often matters more than this quarter’s revenue growth.

2. Did Profit Grow Faster Than Sales?

Revenue is only the starting point.

What interests me more is whether operating profit is growing faster than revenue.

A simple comparison tells a surprisingly useful story.

When profit grows much faster than sales, several things may be happening.

The company may be benefiting from operating leverage.

Raw material costs may have declined.

The product mix may have shifted toward higher-margin products.

Or fixed costs simply didn’t rise as quickly as revenue.

None of these explanations is automatically good or bad.

The important question is whether they are sustainable.

If margin expansion depends entirely on falling commodity prices, future quarters may look very different.

If it comes from structural improvements, better products, automation or stronger pricing power, it deserves more attention.

3. Is Cash Flow Keeping Up With Profit?

One number quietly tells you whether reported profits are translating into actual money.

Operating cash flow.

Companies can report impressive earnings while collecting very little cash.

This usually appears in working capital.

Receivables rise.

Inventory builds.

Customers delay payments.

Profit exists on paper.

Cash doesn’t.

A simple comparison helps.

Whenever I see this combination repeatedly, I slow down.

Sometimes it is perfectly reasonable.

Seasonality.

Large project businesses.

Temporary inventory stocking.

But if profits keep rising while cash generation weakens for several quarters, the quality of earnings deserves a closer look.

Cash flow often tells a quieter, more reliable story than earnings.

4. Which Segment Is Actually Driving Growth?

Consolidated revenue hides important details.

Large companies rarely grow evenly.

One division often carries the entire business.

Suppose total revenue grows 10%.

Segment reporting reveals something different.

Suddenly the business looks very different.

Growth is becoming concentrated.

That raises new questions.

Is the faster-growing segment becoming more important?

Will margins improve if this mix continues?

Or is the strongest business simply offsetting weakness elsewhere?

Segment reporting often reveals trends long before they become obvious in headline numbers.

5. Are Margins Improving for the Right Reasons?

A higher operating margin usually receives positive attention.

It shouldn’t receive automatic applause.

Margins improve for many reasons.

Some are durable.

Some disappear quickly.

Questions worth asking include:

Did gross margin improve because raw material costs declined?
Did employee costs fall unusually?
Was there a one-time income item?
Did advertising expenses reduce temporarily?
Has product mix improved?

The same margin improvement can reflect either a stronger business or favourable short-term conditions.

The distinction becomes clearer only after comparing several quarters.

One quarter is an event.

A trend is evidence.

6. What Changed Compared With Previous Quarters?

Investors naturally compare this quarter with the same quarter last year.

I often compare it with the last four quarters as well.

Patterns become easier to spot.

The story isn’t just higher revenue.

Margins are steadily improving.

That suggests operational improvements rather than random quarterly fluctuations.

Looking at several quarters together reduces the chance of concluding noisy data.

7. Is Management Talking Differently?

Numbers tell you what happened.

Language often hints at what management expects next.

I rarely focus on optimistic statements.

Almost every management team sounds optimistic.

Instead, I compare wording.

Has “strong demand” become “stable demand”?

Has “capacity expansion” become “capacity optimisation”?

Has management stopped discussing a previously important market?

Small language changes sometimes appear before changes in financial performance.

Not always.

But often enough to deserve attention.

8. Where Is the Company Spending Money?

Quarterly cash flow statements don’t receive much attention.

They probably should.

Capital expenditure often signals management’s confidence.

If capex is increasing while demand remains healthy, management may be preparing for future growth.

If capex falls sharply despite strong industry conditions, that deserves investigation.

Neither conclusion is automatic.

The context matters.

But capital allocation usually tells you what management believes, not just what it says.

9. What Isn’t Being Discussed?

One habit has become increasingly useful.

Notice what’s missing.

Suppose commodity prices rose sharply during the quarter.

The earnings presentation barely mentions raw material costs.

Why?

Or management previously discussed exports every quarter.

Now there’s silence.

That doesn’t prove anything.

But omissions often create better research questions than disclosures.

Sometimes the most useful clue is the topic management quietly moved away from.

A Quarterly Result Is a Piece of Evidence-Not the Verdict

One quarter rarely changes the quality of a business.

But it can change the direction.

That’s why I try not to treat earnings season as a scorecard.

Instead, I treat it as another page in an ongoing research notebook.

Each result answers a few old questions.

More importantly, it creates new ones.

And over time, I have found that investment research improves less by collecting more numbers and more by asking better questions about the numbers already available.

The next time quarterly results arrive, resist the urge to stop at revenue and profit.

Instead, ask:

Where did the growth come from?
Are margins improving for sustainable reasons?
Is cash flow supporting reported earnings?
Which business segment is actually getting stronger?
Has management’s language changed?
What important question does this quarter leave unanswered?

Those answers rarely appear in the headline.

They are usually hidden a few pages deeper.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

See you next week with another lesson worth exploring.

– Smita 💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

The Finance Lens Weekly - Premium Market Insights (July 11, 2026)

Smita — Sat, 11 Jul 2026 02:29:50 GMT

Hello and welcome back to The Finance Lens!

There wasn’t one big story that dominated the markets this week.

Instead, there were several smaller ones.

But they didn’t seem very important. When I looked at them together, they revealed a few interesting trends. That’s what this week’s newsletter is about.

This Week, We Are Exploring...

The real story behind this week’s market movement.
Why companies are suddenly thinking much further ahead.
A consumer shift that could reshape Indian businesses.
The common thread connecting this week’s biggest global headlines.
Why AI infrastructure may matter more than AI itself.
A small behavioural mistake that many investors, including me, make.

1. Market Pulse - Range-Bound

Nifty 50 closed at 24,206.90 on Friday, slightly lower than its opening level of 24,306.85 at the start of the week, after trading in a narrow range for most sessions.
Foreign Institutional Investors (FIIs) were net buyers of ₹4,670 crore during the week (6–10 July).
Domestic Institutional Investors (DIIs) remained active buyers as well, with net inflows of ₹8,276 crore over the same period.
Among the five trading sessions, FIIs recorded net selling only on 9 July (₹533 crore), while remaining net buyers on the other four days.
DIIs recorded net selling only on 7 July (₹383 crore) and were net buyers during the remaining sessions.

Markets remained range-bound during the week, while both FIIs and DIIs ended the week as net buyers.

2. Market Observation of the Week

Growth Is Quietly Returning to the Boardroom

What caught my attention

This week, I noticed several stories that didn’t seem connected at first.

SEBI cleared more companies to launch IPOs. Reports suggested the NSE is once again preparing for its long-awaited listing. SBI-Amundi is planning to raise capital through an IPO. At the same time, companies like HFCL, Reliance Industries and the Jindal Group announced fresh investments in expanding their businesses.

Different sectors.

Different companies.

Yet they all reflected the same underlying theme: businesses are making long-term decisions with confidence.

Why the market may be overlooking it

Most of us naturally focus on what the market is doing today, whether the Nifty is up or down, or how a company performed this quarter.

But those numbers tell us where we are.

Investment decisions tell us where businesses believe they are going.

Launching an IPO, building new manufacturing capacity or committing thousands of crores to expansion isn’t something companies do overnight. These decisions usually reflect management’s view of demand over the next several years, not the next few quarters.

That’s why I found this week’s news interesting. It wasn’t one headline that mattered. It was the pattern.

What it means for investors

I have realised that some of the most useful market signals don’t come from share prices.

They come from watching what companies do with their capital.

No investment announcement guarantees success, and not every IPO creates value. But when businesses across different industries start planning for the long term at the same time, it’s worth paying attention.

Markets react quickly.

Businesses usually move more slowly.

Sometimes, the quieter signals tell us more than the louder headlines.

3. India Trend to Watch

The Indian Middle Class Is Quietly Becoming a Global Consumer

One interesting report I read this week. It wasn’t about GDP, inflation or even the stock market.

It was about how Indians are spending their money.

More people are paying for AI subscriptions. More families are travelling overseas. Imported gadgets are becoming common. Spending on education and healthcare abroad is also picking up.

None of that is surprising.

What surprised me was seeing all these things together in one story.

It feels like the Indian middle class is changing in a quiet way.

A few years ago, most spending stayed within the country. Today, a small part of every month’s budget is often going somewhere else: an app billed in dollars, a holiday abroad or a gadget bought from a global brand.

Maybe that’s not a big deal on its own.

But when millions of people start doing the same thing, it becomes an economic trend.

It means more dollars are leaving the country. It also tells us that Indian consumers have more choices than they did before.

I think businesses will have to adapt to that.

Global companies will see India as a much bigger market than they did a decade ago. Indian companies, meanwhile, won’t just compete with the business across the street. They will increasingly compete with brands from around the world.

I don’t think this is a story about this quarter or even this year.

It’s just one of those slow shifts that are easy to miss while they are happening, but obvious once they’ve happened.

4. Global Trend to Watch

I read dozens of business stories every week.

Some are interesting. Some disappear from my mind the next day.

This week was different.

I kept coming back to a few completely unrelated stories: an IMF outlook, inflation in Japan, fresh tensions in the Middle East, oil prices and trade disputes.

They were about different countries.

Different industries.

Different problems.

But together, they seemed to be saying the same thing.

Businesses can no longer assume the world will become more predictable next year.

For a long time, uncertainty was something companies waited to get through.

Now it feels like something they have to build around.

That’s changing how businesses think about supply chains, where they invest, how much inventory they keep and even which markets they choose to enter.

None of this will show up in tomorrow’s stock price.

But over the next five or ten years, I think it could separate companies that adapt from those that don’t.

Sometimes the biggest trend isn’t hidden in one headline.

It’s hidden in the connection between several of them.

5. Under the Radar

India Isn’t Just Getting AI. It’s Becoming AI Infrastructure.

One story I nearly ignored this week was Google’s decision to host its Gemini AI models inside India.

At first, it looked like another announcement about data centres and compliance. Useful, but not particularly exciting.

Then I realised it wasn’t really about Google.

It’s about what happens when global technology companies start investing in local infrastructure instead of simply selling their products here.

Running AI models inside India means companies that deal with sensitive data- banks, insurers, hospitals and even government departments- can adopt AI more comfortably. For many of them, data location has been a genuine concern.

We spend a lot of time talking about which AI company will win.

I am starting to think another question deserves attention.

What needs to happen before AI becomes boring enough that every business starts using it?

Good infrastructure is usually part of the answer.

It rarely gets the headlines. But it often determines how quickly new technology becomes part of everyday business.

This may not feel like a big story today.

I have a feeling we will look back on developments like this and realise they mattered more than they seemed at the time.

6. Behavioural Insight of the Week

Looking at the price first

While reading about a company this week, I caught myself checking the stock chart before I had even finished reading about the business.

That felt backwards.

The chart was answering a question I hadn’t asked yet.

I have started noticing how often the price influences my opinion before the facts do.

I am trying to reverse that habit.

Business first. Price later.

Still a work in progress.

7. Book Recommendation

Read The Outsiders.

It’s one of the best books on how great CEOs allocate capital and create long-term shareholder value. You will notice that many outstanding companies succeeded not just because they had good products, but because management made consistently smart capital allocation decisions.

8. Closing Thought

The market speaks every day, but not always through the loudest headlines. Sometimes its most important messages are hidden in a policy update, a capital allocation decision or a change in consumer behaviour. My goal is to keep listening for those quieter signals and share the ones I believe are worth your time.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this could truly help you, you can check it out here.

Thank you for reading The Finance Lens. Have a wonderful week, and I will be back next Saturday with another edition.

– Smita💚

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.

Equity Risk Premium: The Hidden Number That Quietly Shapes Every Stock Market

Smita — Wed, 08 Jul 2026 02:00:30 GMT

Hello and welcome back to The Finance Lens!

Every investor has heard about P/E ratios, earnings growth and interest rates. But while reading research reports over the past few years, I kept noticing another number appearing repeatedly in institutional commentary. It rarely appeared in television debates or social media discussions, yet many investment decisions seemed to revolve around it.

That number is the Equity Risk Premium.

The Question That Made Me Dig Deeper

One thing always bothered me.

Two markets could trade at exactly the same valuation, yet professional investors would call one attractive and the other expensive.

At first, I assumed they were looking at earnings forecasts more carefully than everyone else.

The more research papers I read, the more I realised that earnings were only one part of the discussion.

The other part was much quieter.

How much additional return are investors receiving for taking equity risk instead of buying government bonds?

That simple comparison turns out to influence far more than I had expected.

A Number That Doesn’t Appear on Most Investing Apps

The Equity Risk Premium (ERP) is simply the additional return investors expect from equities over a risk-free government bond.

The formula is straightforward.

Equity Risk Premium = Expected Equity Return − Government Bond Yield

But what interested me wasn’t the formula.

It was how frequently institutional investors referred to it when discussing whether markets looked expensive.

Retail investors often ask,

“Is the market trading at 25 times earnings?”

Professionals are often asking something slightly different.

“Given today’s bond yields, are equities paying enough for the additional risk?”

That difference changes the entire conversation.

The First Pattern I Noticed

While comparing market history, something became difficult to ignore.

Stock market valuations rarely move independently.

*They often move alongside interest rates.

The table itself isn’t surprising.

What caught my attention was how often investors attributed market corrections to earnings while ignoring changes in the required return.

Sometimes profits had barely changed.

What had changed was investors’ willingness to accept risk.

Why Bond Yields Deserve More Attention Than They Receive

Government bonds represent the closest thing to a risk-free investment.

If a 10-year government bond suddenly begins offering significantly higher returns, investors naturally become more demanding before allocating money to equities.

That doesn’t necessarily mean businesses have become worse.

It simply means the hurdle rate has increased.

One thing I noticed while reading institutional research was that many analysts first updated their assumptions about bond yields before revising target valuations.

The sequence mattered.

Valuation often changed before earnings estimates did.

The 2022 Market Offered an Interesting Reminder

The correction during 2022 is often described as an inflation story.

That’s true.

But inflation alone wasn’t what pushed valuations lower.

Inflation led central banks across the world to raise interest rates.

Higher policy rates pushed government bond yields upward.

As bond yields increased, investors demanded a higher return from equities.

That higher required return reduced the price investors were willing to pay for future earnings, especially for companies whose profits were expected many years into the future.

One thing that stood out while reviewing that period was that many businesses continued growing revenues.

Yet their share prices corrected sharply.

The market wasn’t reacting only to business performance.

It was repricing risk.

Why P/E Ratios Can Be Misleading Without Context

A market trading at 24 times earnings isn’t automatically expensive.

Nor is a market trading at 16 times earnings automatically cheap.

The number only becomes meaningful when viewed alongside interest rates.

Consider two hypothetical situations.

The valuation hasn’t changed.

The alternative investment has.

That changes how much compensation investors require before accepting uncertainty.

This was probably the biggest shift in my own thinking.

I stopped looking at valuation in isolation.

What Research Reports Tend to Do Differently

While reading brokerage reports, I noticed that analysts rarely begin by asking whether a stock deserves a particular P/E multiple.

Instead, many valuation models begin with assumptions such as:

Risk-free rate
Equity Risk Premium
Cost of equity
Expected cash flows

Only after those assumptions are established do target valuations emerge.

That process explains why two analysts can forecast similar earnings yet arrive at different target prices.

Their assumptions about risk are different.

The Relationship Isn’t Constant

One mistake I initially made was assuming that a low Equity Risk Premium always signals an overvalued market.

Historical data doesn’t support such a simple conclusion.

Markets can trade with relatively low risk premiums for extended periods when investors remain confident about economic growth and monetary policy.

Similarly, unusually high Equity Risk Premiums often appear during periods of fear.

Those moments can eventually create attractive opportunities, although timing remains extremely difficult.

What interested me wasn’t using ERP to predict market tops or bottoms.

It was understanding why valuations change even when businesses don’t.

Looking Beyond Company Fundamentals

Most of my research naturally focuses on annual reports.

Cash flows.

Margins.

Capital allocation.

Competitive advantages.

None of those become less important because of the Equity Risk Premium.

But ERP reminded me that even an excellent business exists within a broader financial environment.

A high-quality company can continue executing well while its valuation contracts simply because investors require a higher return.

Conversely, valuation expansion sometimes has less to do with improving business quality than with falling interest rates.

Separating those two forces makes market movements easier to interpret.

My Notebook After Reading About ERP

After spending time with valuation research rather than simply looking at price charts, I came away with a different checklist.

Instead of asking only,

Are earnings growing?
Is the valuation expensive?

I now find myself asking additional questions.

What are government bond yields telling us?
Has the required return for equities changed?
Are investors becoming more comfortable with risk or less?
Is the market rerating businesses because of fundamentals, or because the discount rate has moved?

Those questions don’t produce easy answers.

But they often explain market behaviour that initially appears irrational.

Final Thoughts

The Equity Risk Premium isn’t a market indicator that flashes buy or sell signals.

It is better thought of as the background setting against which every valuation is judged.

That may explain why it receives so much attention inside institutional research despite attracting very little discussion among retail investors.

One thing I appreciate about it is that it shifts the focus away from price alone.

It encourages a broader question:

Am I being adequately compensated for the uncertainty I am choosing to accept?

That’s a more difficult question than asking whether a stock looks cheap.

It’s also the question that shifts your thinking from chasing prices to understanding risk.

It’s not about tips.
It’s about clarity, about seeing money the way it actually shows up in real life.

A new piece goes out every Sunday.
If you feel this is something that can truly help you, you can check it out here.

Thanks for reading, and I will see you next week with another investing concept worth exploring.

– Smita 💚

^*Note:^{The relationships discussed in this article describe common market tendencies rather than fixed rules. In the short term, stock prices can be influenced by company earnings, investor sentiment, liquidity, geopolitical developments, and other unexpected events. Over longer periods, however, factors such as government bond yields, interest rates, and the Equity Risk Premium play an important role in determining how much investors are willing to pay for future earnings.}

Disclaimer: This newsletter is for informational and educational purposes only and should not be considered investment, financial, or legal advice. I am not a SEBI-registered investment adviser. While reasonable care has been taken in preparing this content, no assurance is given that the information is accurate, complete, or up to date. Markets, economic conditions, and regulations can change over time, and opinions expressed here may change without notice. Please conduct your own research or consult a qualified financial professional before making any investment decisions. All investments are subject to market risks.