The How-To library
This library covers the method behind our research reports. There are two chapters on the economy and the industry a company sits in, five on analysing the company itself, two on the platforms used to do it, and one on the tools on this site. Each chapter stands on its own, but the Fundamentals build on one another and are best read in order.
Economy analysis
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Get in touchThe economy sets the ceiling on what any company inside it can earn. A well-run business in a slowing economy will still find its customers spending less, its borrowing costing more and its shares valued against a more attractive bond. Hence we read the macro indicators before the company, and we read them as a chain rather than a checklist: production rises because demand exists, demand becomes revenue, revenue becomes profit, and the RBI's rate decisions decide how much of that profit the market is willing to pay for.
Growth indicators
These three measure the same thing, i.e. whether economic activity is increasing, at different speeds and from different angles. PMI arrives first, IIP second and GDP last, and hence they are read together rather than separately.
The total final output of goods and services produced in the country, and the broadest measure of economic activity there is.
The volume of industrial production across a fixed basket of products. Rising IIP means rising production, and production rises because demand exists. Demand means revenue for companies, and revenue means profit. This is the whole reason an equity investor watches it.
IIP is a volume measure, and hence inflation does not flatter it. Nominal GDP can rise on higher prices alone, whereas IIP cannot, which makes it the more honest of the two when prices are moving.
| Jan 2020 | Apr 2020 | May 2020 | |
|---|---|---|---|
| Index | 225.3 | 93.6 | 234.0 |
A monthly survey of senior executives at large companies on how their industry and the wider economy are performing. It is a sentiment measure rather than a production measure, and it is published well before GDP and IIP. This makes it the earliest of the three indicators.
Monetary policy
The RBI controls the amount of money in the system through four instruments. Each one either restricts how much banks can lend or changes the price at which they borrow, and hence each one reaches every company in the economy through its cost of capital.
The share of its deposits that a bank must keep with the RBI as cash. This money cannot be lent, and hence a higher CRR means less credit in the economy.
The share of deposits a bank must hold itself and cannot lend out. It is held as cash, gold or government bonds, and hence the SLR also creates a captive buyer for government debt.
The rate at which banks borrow from the RBI against government securities. A higher repo rate means higher lending rates across the economy, as banks pass their own cost of borrowing on to customers.
The rate at which the RBI borrows from banks, i.e. the return a bank earns for parking surplus money with the RBI instead of lending it.
Coming shortly.
How RBI decisions reach share prices
The MPC sets the rates
The Monetary Policy Committee meets at least four times a year and sets the CRR, SLR, repo rate and reverse repo rate. Every decision is published with a statement explaining the reasoning, which is the most useful document the RBI produces.
Rates up is negative for the market, rates down is positive
Higher rates mean less money circulating in the economy and costlier borrowing for companies, which reduces both demand and profit. Additionally, higher rates make bonds more attractive relative to equities, as an investor can now earn a better risk-free return without owning shares at all. Lower rates reverse all three effects.
The trade-off is always inflation versus growth
The RBI cannot optimise both at once. Raising rates to contain inflation slows growth, and cutting rates to revive growth risks inflation. Which of the two it is prioritising at any given meeting shows where rates are going next, and hence where the market's cost of capital is going next.
Two scenarios
After Covid, the priority was reviving growth, and hence the CRR, SLR, repo rate and reverse repo rate were all cut. When inflation runs high, the priority flips to containing prices, and any or all of the four are raised. The same four instruments, used in opposite directions, depending on which problem is larger at the time.
Structural indicators
These move more slowly than the growth and policy indicators, but they set the backdrop against which the others are read.
People without work have no income, and hence there is less demand in the economy. Lower is better.
Higher government infrastructure spending lifts the market as a whole, but it lifts some sectors far more than others. Cement, capital goods, construction and the PSU banks that finance the projects benefit directly, whereas most consumer businesses see only the second-order effect.
A government with a working majority can take decisions without coalition interference, and the market prices that predictability. Reforms that need legislation are more likely to pass, and the policy direction is less likely to reverse at the next election.
Where to get the data
MoSPI
The Ministry of Statistics publishes GDP, IIP and CPI. This is the primary source for all three, released on a fixed calendar.
mospi.gov.in ↗RBI
The policy rates, the MPC statements and the minutes of each meeting. The statements are short and explain which of inflation or growth the committee is prioritising.
rbi.org.in ↗S&P Global / HSBC India PMI
The manufacturing and services PMI releases, published at the start of each month for the month just ended.
S&P Global PMI releases ↗Trading Economics — India
The fastest place to see all of the above charted together over several years, which is the only way to read direction and trend.
tradingeconomics.com/india ↗Industry: Banking
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Get in touchThe ratios in the ratio toolkit do not work on banks. A bank's raw material is money, and hence debt is its inventory rather than a burden, which makes debt to equity meaningless. There is no revenue line in the normal sense, no gross margin and no inventory turnover, and free cash flow does not behave the way a standard DCF assumes, which is why the Valuation page already has a separate bank/NBFC mode that values net profit directly. A bank is a spread business wearing a balance sheet, and it needs its own set of numbers. The eleven below are organised as four questions.
1. Does it earn a good spread?
A bank borrows money from depositors at one rate and lends it to borrowers at a higher rate. The difference between the two is where all of its profit comes from, and hence the first question is how wide that difference is and how cheaply the bank is funded.
The main source of income for a bank, i.e. what it earns on the loans it has given out.
The difference between the interest earned from lending and the interest paid out on deposits. This is the spread itself, in rupees.
NII as a percentage of the total loans outstanding. For example, a bank has lent ₹1 crore and earns ₹11 lakh of interest on it. It has paid ₹5 lakh of interest on the savings and current accounts it used to fund those loans. NIM = (11,00,000 − 5,00,000) ÷ 1,00,00,000 = 6%.
The share of the bank's deposits held in current and savings accounts. Banks pay much less interest on these than on fixed deposits, and hence a high CASA ratio means cheap and sticky funding.
The average cost of the money the bank raises across all of its sources, i.e. deposits, borrowings and bonds.
2. Is the loan book clean?
A bank's profit is only as good as the loans behind it. A wide spread earned on loans that are not repaid is not profit at all, and hence asset quality is checked before the spread is trusted.
A loan the bank does not expect to get back. The technical trigger is fixed: a loan on which interest or principal is overdue for 90 days is classified as an NPA.
NPAs as a percentage of the total money the bank has lent. This is the headline number for asset quality, and the first figure to check in any bank's results.
Gross NPA minus the interest and principal already recovered, minus the provisions already made against the bad loans. It is the damage the bank has not yet absorbed.
The total provisions the bank has made against its gross NPAs. A high PCR means the bank has already set money aside for its bad loans and is running conservatively.
3. Is it growing safely?
Growth in a bank is growth in lending, and lending is only good if the bank has the capital to absorb the loans that go wrong. Hence growth and safety are read together, never separately.
The growth in loans given to customers. This is the bank's volume growth, and it drives NII growth in the next period.
The percentage of its loans a bank must hold as its own capital. This is the shock absorber, as it is what allows the bank to survive its bad loans going bad at the same time.
The loans given out as a percentage of the deposits accepted. It shows how much of the money the bank takes in is actually put to work.
4. Is it run efficiently?
The last question is how much it costs the bank to run its branches, staff and systems relative to what it earns. This is where private banks have historically separated from public sector banks.
The expenses other than interest and provisions, i.e. the cost of running the bank, incurred in order to generate its revenue.
The order to read them in
Asset quality first, not profitability
Gross NPA, net NPA and PCR. A bank with a broken loan book has no margin worth analysing, and hence the loan book is checked before anything else.
Then the spread
NIM, CASA and cost of funds, read as one chain. This shows whether the bank can earn well on what it lends.
Then growth and safety together
Advances growth against CAR and the loan-to-deposit ratio. Growth is only good if the buffer holds.
Then efficiency
The operational cost ratio, against peers rather than in isolation.
Reading the statements
Before any ratio can be interpreted, an investor needs to know what the four financial statements are and which question each one answers. This chapter covers the quantitative half of company analysis. The qualitative half, which looks at management and the durability of the business, is covered in Chapter 4.
Two halves of company analysis
Company analysis can be divided into two parts. The quantitative part deals with the financial statements and the figures derived from them, and is covered in this chapter, the ratio toolkit and the cash flow checks. The qualitative part deals with the business itself and the people running it: capital allocation, competitive advantages, and the questions that decide whether the numbers will continue. We look at the numbers first, as they show which qualitative questions are worth spending time on.
The four components
- Balance sheet — shows what the company owns and what it owes as on a particular date.
- Profit & loss — shows what the company earned and spent for the year ended on that date.
- Cash flow statement — shows what cash actually moved in and out of the company during the year. Profit does not always match this.
- Notes to accounts — explain how each line item was arrived at. Most readers skip these, and the worked example at the end of this chapter shows why that is a mistake.
Balance sheet anatomy
The balance sheet follows one equation: Assets = Liabilities + Shareholders' equity. Everything the company owns has been financed either by money it owes to others or by money belonging to its shareholders, and hence both sides always match. Each side is further split into current and non-current. Current assets are those that will be converted into cash within 12 months, and current liabilities are those that must be paid within 12 months. Everything else is non-current.
The line items that matter most are:
- Accounts receivable — money owed to the business by customers for goods or services already delivered.
- Accounts payable — money the business owes to its suppliers.
- Inventory — anything bought or manufactured in order to be resold.
- Accrued expenses — costs the business has incurred but not yet paid, such as salaries, interest and tax.
- Property, plant and equipment (PPE) — the physical assets of the business, net of depreciation.
The derived figures
screener.in shows the reported line items, but it does not calculate the four figures below. These are the ones that show whether the balance sheet is actually safe, and hence we calculate them ourselves for every company.
The cash line reported on the balance sheet is usually only a part of the total. Liquid financial investments and bank balances such as fixed deposits are equally available to the company, and hence are added to arrive at the true cash position.
Both borrowing lines are added together. The current portion of long-term debt is often shown separately from the non-current borrowings and is easily missed.
Net debt shows how much the company would still owe if it used all of its cash to repay its lenders. A negative figure means the company could repay all its borrowings and still have cash left over.
PPE as a percentage of net sales shows how much of a physical asset base is needed to generate each rupee of sales. A high figure means the company has to spend on capex before it can grow revenue.
Income statement anatomy
The P&L is read from the top. Sales, and its year-on-year growth compared with competitors. Gross margin, which is what remains after the direct cost of the goods sold. Operating expenses, which include employee costs, selling costs and administration, i.e. the cost of running the business rather than making the product. Operating margin is what remains after these are deducted.
The key point in this section is that operating expenses should grow slower than sales. In other words, opex as a percentage of sales should fall over time. This shows that the business is achieving economies of scale rather than simply getting bigger.
Two rules to carry forward
- Operating cash flow should exceed net profit. If it does not, year after year, the company is booking profit faster than it is collecting it. Chapter 3 covers this in detail.
- Inventory levels should not be growing significantly, and should never grow faster than sales. Rising inventory means either that goods are not selling, or that production is being increased to show better margins.
Common-size financials
A common-size statement restates every line item as a percentage of one common figure: sales for the P&L, and total assets or total liabilities for the balance sheet. This makes it much easier to analyse a company over time and to compare it with peers of any size, and it helps in spotting trends that a raw statement does not show. For example, a cost line that doubles while sales triple is actually falling as a percentage of sales, which is not obvious from the rupee figures.
Common-size P&L: every line is divided by sales. Raw material cost, power and fuel, employee cost, selling and admin, depreciation, interest and tax are each shown as a percentage of sales across ten years. Margin expansion shows up as cost lines falling as a percentage while sales stay at 100%.
Common-size balance sheet: two blocks, each adding up to 100%. The liabilities side shows equity share capital, reserves, borrowings and other liabilities. The assets side shows net block, capital work in progress, investments and other assets, with receivables, inventory and cash & bank shown separately below it.
Worked example — BLS International, Mar-17 to Mar-26
The tables below show ten years of BLS International's financials, taken from its screener.in export. They carry four lessons, and the section is structured around those rather than going through the grid line by line.
| % of sales | Mar-17 | Mar-18 | Mar-19 | Mar-20 | Mar-21 | Mar-22 | Mar-23 | Mar-24 | Mar-25 | Mar-26 |
|---|---|---|---|---|---|---|---|---|---|---|
| Sales | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| Raw material cost | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Power and fuel | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other manufacturing expense | 74 | 63 | 68 | 70 | 71 | 68 | 68 | 59 | 46 | 0 |
| Employee cost | 7 | 7 | 8 | 9 | 9 | 9 | 9 | 12 | 15 | 16 |
| Selling and admin | 5 | 8 | 8 | 9 | 9 | 7 | 6 | 6 | 6 | 0 |
| Other expenses | 1 | 2 | 2 | 1 | 3 | 3 | 1 | 2 | 3 | 56 |
| Operating profit | 13 | 20 | 14 | 11 | 9 | 13 | 15 | 21 | 30 | 27 |
| Other income | 0 | 1 | 5 | −2 | 4 | 2 | 1 | 2 | 4 | 3 |
| Depreciation | 4 | 5 | 2 | 2 | 2 | 1 | 1 | 2 | 3 | 3 |
| Interest | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| Profit before tax | 8 | 14 | 15 | 7 | 10 | 13 | 15 | 21 | 28 | 27 |
| Tax | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 2 | 3 | 2 |
| Net profit | 8 | 12 | 13 | 7 | 10 | 13 | 13 | 19 | 23 | 23 |
| % of total | Mar-17 | Mar-18 | Mar-19 | Mar-20 | Mar-21 | Mar-22 | Mar-23 | Mar-24 | Mar-25 | Mar-26 |
|---|---|---|---|---|---|---|---|---|---|---|
| Equity share capital | 3 | 2 | 2 | 2 | 2 | 2 | 4 | 3 | 1 | 1 |
| Reserves | 52 | 53 | 76 | 89 | 90 | 88 | 81 | 72 | 60 | 64 |
| Borrowings | 32 | 23 | 8 | 0 | 0 | 2 | 1 | 2 | 13 | 11 |
| Other liabilities | 12 | 22 | 14 | 9 | 8 | 8 | 14 | 23 | 25 | 23 |
| Total liabilities | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| Net block | 26 | 11 | 11 | 9 | 8 | 18 | 25 | 18 | 49 | 46 |
| Capital work in progress | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Investments | 11 | 6 | 6 | 6 | 5 | 11 | 9 | 7 | 8 | 9 |
| Other assets | 63 | 84 | 83 | 85 | 88 | 71 | 66 | 75 | 43 | 45 |
| Total assets | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| of which receivables | 20 | 45 | 37 | 24 | 20 | 4 | 3 | 3 | 4 | 5 |
| of which inventory | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| of which cash & bank | 23 | 25 | 37 | 51 | 56 | 51 | 50 | 60 | 26 | 31 |
1. The shape of the statement shows the business model. Raw material cost is 0% of sales in every year except Mar-26, where it is 1%. Inventory is 0% of assets in every year. Even before reading about what BLS does, the common-size statement shows that this is a services business which does not buy or stock any goods. This is the quickest way to understand what common-size analysis is used for.
2. Margin expansion is visible as a trend. Operating profit is 13% of sales in Mar-17, falls to 9% in Mar-21 due to the lockdown, and then rises to 30% by Mar-25. Net profit moves from 8% to 23% over the same period. A raw P&L shows profit rising because sales have risen. The common-size version shows that profit is rising faster than sales, which is a much stronger indication of the quality of the business.
3. The receivables story. Receivables fall from 45% of assets in Mar-18 to 3–5% from Mar-22 onwards, while cash & bank stays between 23% and 60% of assets. This is the receivables check from Chapter 3, running in the healthy direction. It also matches the borrowings line, which falls from 32% of total liabilities to 0% by Mar-20. BLS collects its fees upfront, and hence does not need to borrow. Borrowings do return at 13% in Mar-25, alongside net block rising from 18% to 49% of assets. This coincides with the FY25 acquisitions of iData, Citizenship Invest and Aadifidelis, which were partly funded with debt. The table shows that something happened; only the notes explain what.
4. The trap, and the reason this example is more useful than a clean one. The Mar-26 reclassification in the callout above would lead a reader who trusts the trend without checking to conclude that the cost base collapsed and a new one appeared. Common-size analysis surfaces changes in presentation as loudly as real changes, and cannot tell the two apart. This is exactly why the notes to accounts exist, and why this chapter began with them. Always check the notes before believing a step change.
The ratio toolkit
A ratio is one figure divided by another, so that companies of different sizes can be compared. There are dozens of them. The ones we use fall into four families, and each family exists to answer one question about the business. Once the question is clear, the formulas are easy to remember.
Activity ratios — how efficiently does the business use what it owns?
Activity ratios compare an item on the balance sheet with turnover. Assets are only worth holding if they generate sales, and the more sales a company generates per rupee of assets, the less capital it needs in order to grow. For example, two companies with ₹2,00,000 of sales are very different businesses if one needs ₹1,00,000 of fixed assets to generate them and the other needs only ₹10,000. The first turns its assets over twice a year, and the second twenty times. The second company can grow without building anything. Higher is better for all three ratios below, with debtor days as the one exception.
| Ratio | Formula | Read |
|---|---|---|
| Fixed asset turnover | Turnover ÷ fixed assets | The example above: ₹1,00,000 of assets on ₹2,00,000 of sales is 2×; ₹10,000 on the same sales is 20×. |
| Inventory turnover | COGS ÷ average inventory | The number of times inventory is sold in a year. Higher is better; a falling figure means stock is building up. |
| Receivables turnover | Revenue ÷ average receivables | Higher is better. Also check debtor days (365 ÷ receivables turnover), where lower is better. |
Liquidity ratios — can the business pay its short-term bills?
Liquidity ratios look at the next twelve months. A profitable company can still run into trouble if it does not have the cash to pay its suppliers and lenders when payments fall due. These ratios check whether the assets that will convert to cash soon are enough to cover the liabilities that must be paid soon.
Compares everything that will convert to cash within a year against everything that must be paid within a year.
The stricter version of the current ratio. Inventory is excluded because it is the current asset least likely to be converted into cash at book value.
Shows how many times over the operating profit covers the interest bill.
Solvency ratios — how much of the business belongs to lenders?
Liquidity is about the coming year, whereas solvency is about the overall capital structure. A company funded mostly by borrowing gives its lenders the first claim on every rupee of profit, and shareholders receive what is left. This works well in good years and badly in poor ones, and hence the level of debt needs to be checked against the company's ability to service it.
Borrowed money compared with the shareholders' money. The true debt figure from Chapter 1 is used here, not the single reported line.
The number of years of operating profit it would take to repay what the company owes, net of the cash it already holds.
Profitability ratios — can the business turn capital into profit?
The first three families show whether the business is safe. This family shows whether it is a good business. Two of the ratios measure the return on capital, and the rest measure margins, which are the return on sales. Both matter, and they can move in opposite directions.
Shows how much profit the company generates on the money its shareholders have invested in it.
Shows how much the company earns on all the capital it uses, debt and equity together, before interest and tax.
Three cuts of the same statement: after direct costs, after operating costs, and after everything including interest and tax.
A service business will normally run much higher margins than a manufacturer, as it has no raw material to buy.
Cash flow and earnings quality
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Get in touchProfit growth can be managed through accounting choices. Operating cash flow and free cash flow are much harder to manage, as they show what actually came into the company's bank account. This chapter covers the six checks we use to compare what a company reports as profit with the cash it actually generated.
1. Managerial efficiency — CFO ÷ PAT
Cash from operations divided by profit after tax (shows how much of the profit reported actually comes into the business as cash). Higher is better, and it should stay above 1 over any period of several years. Profit includes sales that have not yet been collected and excludes costs that have not yet been paid, whereas cash from operations is what cleared the bank. Comparing the two is the fastest quality-of-earnings check available. BLS International, for example, has averaged a CFO to net profit ratio of 1.4 over the last five years, showing that its revenue is turning into actual payments from customers. A company that reports rising profit while CFO stays flat is showing, in its own numbers, that the profit exists only on paper.
2. The cash flow ratios
Shows how many paise of each rupee of sales was converted into operating cash. Higher is better.
The check from point 1, tracked over several years rather than for a single year.
3. Free cash flow
FCF = CFO − net capex. Free cash flow is the cash from operations less what the company had to spend on plant and equipment in order to maintain and grow the business. This is the cash that is genuinely free: it can be paid out as dividends, used to repay debt, or reinvested. Dividing it by the number of shares outstanding gives FCF per share, which can then be compared directly with the share price.
4. The FCF yield ladder
FCF per share divided by the share price gives the cash return an investor is buying at today's price. This is the same idea as an earnings yield, but uses the figure that is harder to manage.
| Yield | Verdict |
|---|---|
| Around 10% | Standard. A fair price for a business generating real cash. |
| Around 20% | Terrific. Either the market has missed it, or the cash flow is about to fall. Find out which. |
| Around 50% and sustainable | Exceptional. Rarely seen outside a market crisis, and the word that matters is sustainable. |
5. Working capital and the cash conversion cycle
Working capital = inventory + receivables − trade payables. It is the money tied up in running the business from day to day: stock on the shelf and invoices not yet collected, less the credit that suppliers have extended. Most investors assume that more working capital is safer. In practice the opposite is usually true.
Negative working capital is a good thing, as it means the business is being financed by its suppliers. A negative cash conversion cycle means the company collects from customers before it has to pay its suppliers. It receives the cash for the sale, holds it for a few weeks, and only then settles the invoice for the goods. Such businesses usually carry little debt, for the simple reason that they do not need any. BLS collects its processing fees upfront before providing the service, and hence has no receivables to speak of and no need to borrow. The balance sheet in Chapter 1 is the shape this produces: receivables shrinking, cash building, and borrowings falling to zero.
6. The receivables warning
Check how fast receivables are growing compared with revenue. If receivables are outpacing revenue, the company is booking sales it has not yet been paid for. This usually means it is selling on credit in order to keep the growth number up, and it is carrying a collection risk that the P&L does not show. This is the check that catches the most common way in which profit is managed, and it requires only two line items and a division.
What to invest in
Stable businesses with regular cash flows. We avoid a business whose future cash flow cannot be estimated, or whose cash flow has been negative or irregular. This is not because such businesses never succeed, but because there is no way to value them, and a price that cannot be checked cannot be defended. Even with stable cash flows, a margin of safety should be applied. A good business is not worth buying at any price.
Capital allocation and the checklist
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Get in touchThis is the qualitative half of the analysis. Ratios show what has already happened. This chapter covers how we judge whether management will keep it happening, starting with what they do with the cash the business generates. That decision, repeated over a decade, determines most of what a shareholder ends up owning.
Four ways to check capital allocation
- Capital expenditure. Is capex only sustaining the business, or is it expanding it? Sustaining-only capex is a warning sign, as the company is spending simply to stay where it is. Large capital invested at a very high rate of return is the best wealth-creating combination there is, and large capital invested at a poor return is the worst. Most companies sit somewhere in between, and the return measures below show where.
- Share buybacks. Is the company using cash to buy back its own shares? This is good for shareholders, as both earnings per share and book value per share rise, provided the shares are bought below what they are worth.
- Mergers and acquisitions. Is the company buying businesses in order to prop up operations that are slowing down on their own? Management's track record on past acquisitions needs to be examined: what was paid, what was promised, and what was actually delivered.
- Cash. How much is simply being held. Idle cash earns a bond return and pulls down every return measure in this chapter. Sometimes this is the honest choice, and sometimes it shows that management has nowhere to deploy it.
The return measures
Three measures that sound alike but answer different questions, followed by the formula that ties them together. This is the section most worth getting right.
What the business earns on all the capital it uses today. It is measured before tax and before interest, and hence removes the effect of the capital structure and shows operating quality alone.
What the business earns on the capital actually invested in operations. The cash deduction matters, as a company holding a large idle balance looks worse on ROCE than it deserves.
What the business earns on the next rupee it invests. This is the return on the money reinvested out of profits, rather than on everything the company has ever raised.
The difference between the last two is the important one. A business with an excellent ROIC but no room to reinvest will continue to generate cash, but it has stopped compounding. A business with an ordinary ROIC and a very high ROIIC is improving with every rupee it deploys. Only the incremental figure shows which of the two the investor is looking at.
ROIIC is calculated over a chosen window of three, five, seven or nine years, in five steps:
| Step | Calculation |
|---|---|
| Invested capital | Equity + debt − cash, at the start and at the end of the window |
| B — incremental capital invested | Change in invested capital over the window |
| A — cumulative earnings | Net profit added up across every year of the window |
| C — reinvestment rate | B ÷ A: the share of earnings that went back into the business |
| D — ROIIC | Change in net profit over the window ÷ B |
| Value compounding rate | C × D |
The compounding formula, stated plainly: intrinsic value compounding rate = ROIIC × reinvestment rate. A business earning 20% on its reinvested capital while reinvesting 80% of its earnings compounds its intrinsic value at roughly 16% a year. Both terms matter. A very high ROIIC with nothing to reinvest in compounds slowly, and heavy reinvestment at a poor return destroys value faster than doing nothing at all.
Worked example — BLS International, ROIIC across four windows
BLS's invested capital (equity plus debt less cash) moves from ₹191 Cr in Mar-17 to ₹1,712 Cr in Mar-26. Each window below runs backwards from Mar-26, so B is the difference between ₹1,712 Cr and the invested capital three, five, seven or nine years earlier, and A is the net profit added up over the same years.
| 3-yr | 5-yr | 7-yr | 9-yr | |
|---|---|---|---|---|
| Cumulative earnings (A) | 1,589 | 1,905 | 2,007 | 2,209 |
| Incremental capital invested (B) | 1,379 | 1,529 | 1,477 | 1,521 |
| Reinvestment rate (C = B ÷ A) | 87% | 80% | 74% | 69% |
| ROIIC (D) | 38% | 44% | 42% | 44% |
| Value compounding rate (C × D) | 33% | 35% | 31% | 30% |
| CAGR in market cap | 13% | 59% | 35% | 21% |
Net profit here is profit before tax less tax, as the worksheet builds it, so from Mar-23 it runs slightly above the reported figure, which is after minority interest. Market cap uses the March-end price and the bonus-adjusted share count.
This is a clean example for three reasons. The reinvestment rate sits between 69% and 87%, showing that BLS is funding its growth out of its own earnings rather than outside capital, which is the situation the formula is designed for. ROIIC is steady at 38–44% across every window, which shows durability: the same answer comes out whichever start date is chosen, rather than one exceptional year. Lastly, the value compounding rate stays at 30–35% regardless of the window, and hence the investor gets a stable estimate rather than one that swings with the arithmetic.
The last row carries the main lesson. Market-cap CAGR is 13%, 59%, 35% and 21% against a compounding rate that barely moves. This is the same business with the same economics, and the four very different price outcomes depend only on which year the count started from. The five-year figure is high because Mar-21 was a lockdown low, and the three-year figure is low because Mar-26 comes after a 41% fall from the Mar-25 peak. Neither says anything about how the business performed in those years. This is the caveat above shown in practice: the compounding rate shows how fast the business is building value, and the price shows what the market was willing to pay on two particular days.
Warren Buffett's ₹1 test
The test in one line: for every ₹1 of earnings the business retains, it should create at least ₹1 of market value. If it does not, shareholders would have been better off receiving the money as dividends.
Change in market cap over the period ÷ total retained earnings over the same period, where retained earnings = net profit − dividends paid. Higher is better, and a figure below 1.0 means that retaining earnings has destroyed value. Buffett set out the principle in his 1984 letter: unrestricted earnings should be retained only where there is a reasonable prospect, backed by historical evidence or a thoughtful analysis of the future, that for every dollar retained at least a dollar of market value will be created for owners.
Worked example — BLS International, Mar-17 to Mar-26
| ₹ Cr | |
|---|---|
| Total retained earnings, Mar-17 to Mar-26 | 2,078 |
| Market cap, Mar-17 | 1,753 |
| Market cap, Mar-26 | 9,702 |
| Market value created | 7,949 |
| Value created per ₹1 retained | 3.8 |
3.8 is a good result and a realistic one. It is comfortably above the 1.0 threshold without being the kind of outlier that sets a false benchmark for the next company the test is run on.
The end-date problem, which this example shows almost by accident. BLS's market cap peaked at ₹16,412 Cr in Mar-25 and fell to ₹9,702 Cr by Mar-26, a drawdown of 41%. Running the same test with Mar-25 as the end date gives approximately 10.7 instead of 3.8. This is the same business, the same retained earnings and the same nine years of capital allocation, and the verdict nearly triples depending on which March the calculation stops at.
Consistent, durable earnings
Five questions. A business that answers yes to all five is rare, and most of the ones that do are the ones worth paying a premium for.
- Consistently high profitability?
- Consistently zero or low debt?
- Consistently avoids large capital investment?
- Consistent earnings?
- Consistent growth in earnings?
The business questions
These are the questions we ask before anything else, before the ratios and before the valuation.
- Is it a simple business?
- Has it consistently grown sales and EPS for five to ten years? Consistency matters more than the rate of growth.
- Does the product have strong demand? Is there a long runway for the next ten years? Can it be easily disrupted?
- Is it highly capital intensive? Can it scale without destroying capital at a low or negative ROCE?
- Will it be around in ten years, and better off than it is today?
- How competitive is the industry, and does the business have a moat? Examples include pricing power, high profit margins, superiority over competitors, entry barriers and economies of scale.
- How good is management on capital allocation, on ROE, and on performance against competitors over five to ten years?
Reading annual reports
The auditor's opinion should be read first, and read for qualifications. After that, unusual losses, debt to equity, revenue growth, and receivables compared with revenue, which is the Chapter 3 check done from the source document. Competitors' annual reports should be read as well, as a company's own report says what it wants investors to know and a competitor's report often shows what was left out. On promoter holding, a fall in promoter equity over a single year is fine and usually has an ordinary explanation. A constant downward trend is not.
Growth vs mature balance sheets
The same line item can be healthy on one balance sheet and a warning sign on another. It is important to decide which kind of company is being analysed before judging the lines.
| Growth company | Mature company | |
|---|---|---|
| PPE | Grows fast | Not rising rapidly |
| Capital work in progress | High — building the future asset base | Low |
| Inventories & receivables | Rising, often large receivables | Not rising rapidly |
| Cash | Lower | High |
| Debt | May be rising — check D/E before panicking | Negligible |
Worked examples
Available to corporate partners
This chapter is part of the full How-To library for firms using Obsidere. If your firm has a company code, add it from your account menu.
Get in touchTwo numerical examples that explain more of the method than any formula. Both are built as calculators, so the inputs can be changed to see whether the conclusion still holds.
Example 1 — Why growth beats a cheap multiple
Consider two companies, both trading at ₹20 with earnings per share of ₹1.00, i.e. a P/E of 20 each. Company A grows its earnings at 20% a year and Company B at 10%. After ten years, at the same P/E of 20, A is worth ₹123.80 per share and B is worth ₹51.80. The important part is what happens if investors stop believing in A's growth. Even if its P/E de-rates to 15, the stock is still worth ₹92.85, which is nearly double B at its full multiple. This shows that a higher growth rate matters far more to the final return than a cheaper starting multiple.
The table below is that arithmetic. A's growth rate and exit P/E can be changed to find the point at which the conclusion stops holding. B stays fixed at 10% growth and a P/E of 20 as the benchmark.
Example 2 — Operating leverage and profit margins
Consider two companies, both with ₹100 of sales. Company A is the high-margin operator, with ₹88 of costs and ₹12 of pretax profit. Company B runs on ₹98 of costs and ₹2 of profit. Now sales rise by 10% and costs rise by 5% at both companies.
A's profit goes from ₹12 to ₹17.60, an increase of 47%. B's profit goes from ₹2 to ₹7.10, an increase of 255%. The lesson works in both directions. The highest-margin company is the lowest-cost operator and hence has the best chance of surviving a downturn. However, in an upswing it is the lowest-margin company that benefits the most, as a small change in sales is a very large change relative to the little profit it had to begin with. Moving cost growth above sales growth in the calculator shows the same leverage working against the low-margin company.
Using screener.in
Screener.in is a tool for looking up Indian companies' financials and filtering the whole market down to a shortlist. Here's how to actually use it — we assume you already have an account.
Looking up a single company
Search the company
Type the name in the search bar at the top. You'll land on its page.
Read the ratios panel
Near the top you'll see the key numbers at a glance — market cap, P/E, book value, ROCE, ROE, dividend yield. This is your quick health check.
Scroll the statements
Below are the quarterly results, profit & loss, balance sheet and cash flow, with 10-year history. Look for trends, not single years.
Check the growth tables
Screener shows compounded sales and profit growth over 10/5/3 years and TTM — a fast read on whether growth is speeding up or slowing.
Building a screen (a filter)
Open "Create new screen"
From the menu, choose to create a new screen. You'll get a query box.
Write simple conditions
Combine criteria in plain form, e.g. Market Capitalization > 500 AND Return on equity > 15 AND Debt to equity < 1. Each line narrows the list.
Run and sort
Run the query to get every company that matches, then sort by any column to rank them.
Save it
Save the screen so you can re-run it later as the market moves — your own repeatable shortlist.
Using Zerodha (Kite)
Kite is Zerodha's trading platform. This guide covers using it — placing trades, order types and the dashboard. (We don't cover opening an account here; the video below walks through the platform.)
Official walkthrough
The essentials, in text
Log in to Kite
Use your User ID and password, then the 2FA app code. Kite works on web (kite.zerodha.com) and the mobile app.
Build your marketwatch
Add the stocks you follow to a watchlist so their live prices sit in front of you.
Place an order
Click Buy (B) or Sell (S) on a stock, set quantity and price, choose the product type, and submit.
Track positions & holdings
"Positions" shows intraday/open trades; "Holdings" shows shares you own for delivery in your demat.
Order types worth knowing
- Market order — buys/sells immediately at the best available price. Fast, but the exact price isn't guaranteed.
- Limit order — executes only at your set price or better. You control price, not timing.
- CNC (Cash & Carry) — for delivery: shares go into your demat and you hold them. This is what long-term investors use.
- MIS (Intraday) — for same-day trades that must be squared off before close. Higher risk; not for investing.
- Stop-loss — triggers an order once a price is hit, to cap a loss.
Using the Obsidere tools
The Market Signal page runs two methods together. PE Valuation shows whether the market as a whole is cheap or expensive, and Dow Theory shows whether the trend has turned. Neither is used on its own. The trend shows when something has changed, and the band decides how much weight that change carries.
PE Valuation — how the bands are built
The method converts the 10-year government bond yield into a risk-free P/E and builds the valuation bands outward from it. The bond is the alternative to owning equities, and hence the P/E the bond offers is the P/E an investor receives for taking no equity risk at all.
Take the 10-year G-Sec yield
The worked figure below uses 7.363%. The live page reads the current yield.
Invert it
Bond P/E = 100 ÷ yield. At 7.363% this gives 100 ÷ 7.363 = 13.58. In other words, a rupee of bond income costs ₹13.58, and equities have to be judged against that price.
Build the bands outward
Deep value runs up to the bond P/E + 1, low up to + 5, mid up to + 10, and high is everything above that. The deep-value band is deliberately narrow, as it is the zone where equities are priced like a near risk-free return, and this rarely lasts long.
Place the Nifty's P/E in a band
At a 7.363% yield: deep value ≤ 14.6, low ≤ 18.6, mid ≤ 23.6, high above 23.6.
Older versions of this method used fixed thresholds of 19 and 24, or 20 and 25, as the lines between cheap, fair and expensive. At a 7.363% yield the bond-derived bands land close to that split, but only by coincidence. At a 6% yield they would sit at 17.7, 21.7 and 26.7, and the two systems would give different answers. The bond-derived version is the one the tool runs, and hence it is the one this page documents.
The thinking behind the method is simple. Historically, the Nifty at a P/E of 15–17 has been the best time to put money in, and a P/E of 30–32 has not been justifiable on any historic data. Mr. Market is rational, but sometimes he acts like a drunk. If earnings increase, price will follow. Hence we focus on earnings rather than price, and think like a business owner rather than a trader.
Dow Theory — how the trend is read
Dow Theory acts as a trend filter. It shows when the trend has turned, and the valuation band decides how much weight that turn carries. It is never read on its own. The setup is a weekly chart of the Nifty, and the whole method depends on identifying two kinds of point on it.
What counts as a significant top or bottom
A significant top is a mountain on the chart: the price climbs into it and falls away from it, formed over at least a month and at least 4% deep. Precisely, it is three points. A is the most recent significant bottom. B is the highest point after A. C is the lowest point after B. The pattern qualifies only if it is wide enough and tall enough: at least four weekly bars from A to C, and B at least 4% above A. Anything narrower or shallower is treated as noise within the trend, and not as a top.
A significant bottom is the same shape turned over, a valley. Precisely, it is the mirror image. A is the most recent significant top. B is the lowest point after A. C is the highest point after B. Same thresholds: at least four weekly bars wide from A to C, and B at least 4% below A.
The two definitions link together. Each new top is found from the last significant bottom, and each new bottom from the last significant top, so the sequence moves forward through the chart without any judgement calls. Due to this, anyone with the weekly chart can reproduce the levels the tool is using.
The decision grid
A break above the last significant top, or below the last significant bottom, is a trigger. How much weight the trigger carries depends on the valuation band at the time.
| Trigger | Deep value | Low | Mid | High |
|---|---|---|---|---|
| Price breaks above the recent significant top | Strongest setup | Strong setup | Moderate setup | No value behind it |
| Price breaks below the recent significant bottom | Weakness, not a warning | Weakness, not a warning | Moderate caution | Strong caution |
The logic in one sentence: a breakout in a cheap market has value behind it, a breakout in an expensive market is momentum without value, and a breakdown only carries weight when the valuation gives the market something to fall to. The live tool adds a small confirmation buffer, set in its configuration, so that a close a few points beyond a level does not confirm the break on its own.
Open the market signal →Sector valuation
The same logic that the Market Signal applies to the Nifty as a whole can be applied to a single sector. Each sector index is compared with its own long-run average PE, with earnings back-solved from price and PE across fifteen to twenty years, to show whether the sector is trading above or below where it has historically settled. One limitation should be stated plainly: a mean-reversion model assumes the average is a real gravitational centre, and sometimes it is not. Sectors re-rate permanently when their economics genuinely change, as Indian IT did in the 2000s and private banks did after 2015, and the model will call those sectors expensive for years while they keep compounding. The Economy analysis chapter covers which sectors the macro backdrop favours, and the sector guide will cover how they are valued.