How-To library

Learn the tools of the trade.

Plain-language guides to the ratios, platforms and methods we use, so you can check our work and do your own.

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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 & industry
Fundamentals
Platforms
Our tools

Economy analysis

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The 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.

GDP growth
Sum of final output · YoY %

The total final output of goods and services produced in the country, and the broadest measure of economic activity there is.

Read it as: check the last three quarters, not one. The question is whether the growth rate itself is stable, accelerating or decelerating. A single strong quarter against a weak base shows nothing on its own.
IIP — Index of Industrial Production
Volume of output · fixed basket

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.

IIP, pharmaceuticals — less than half, then recovered
Jan 2020Apr 2020May 2020
Index225.393.6234.0
Read it as: check the last three months. The Covid example above shows how fast the index moves: pharmaceutical production fell to less than half its January level in the April 2020 lockdown, and was back above it by May.
PMI — Purchasing Managers' Index
Survey of senior executives · 50 = no change

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.

Read it as: above 50 means expansion and below 50 means contraction. Read the last six months for the trend rather than any single print.

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.

CRR — Cash Reserve Ratio
Share of deposits parked with the RBI

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.

Read it as: around 4% is normal. A cut releases money for lending; a hike pulls it back.
SLR — Statutory Liquidity Ratio
Share of deposits held, not lent

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.

Read it as: together with CRR, this fixes how much of every rupee deposited can actually be lent.
Repo rate
Rate at which banks borrow from the RBI

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.

Read it as: the rate that is cut to stimulate growth and raised to slow the economy down. This is the headline number in every MPC statement.
Reverse repo rate
Rate at which the RBI borrows from banks

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.

Read it as: raised to pull money out of the system and cool inflation, as banks then prefer parking funds with the RBI over lending them.
Inflation — CPI and WPI
Coming shortly

Coming shortly.

Read it as: 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.

The Market Signal tool turns the 10-year G-Sec yield into a bond-implied PE — the same rates-versus-equities logic, priced out →

Structural indicators

These move more slowly than the growth and policy indicators, but they set the backdrop against which the others are read.

Unemployment rate
Unemployed ÷ labour force · %

People without work have no income, and hence there is less demand in the economy. Lower is better.

Read it as: rising unemployment shows up in consumer companies' volumes a few quarters later.
Infrastructure expenditure
Government capex · budget and actuals

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.

Read it as: the hand-off from economy analysis into industry analysis. The Union Budget shows which sectors the government is about to spend in.
Political stability
Working majority · policy continuity

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.

Read it as: the market usually re-rates on the result of an election, not on the policies that follow it.

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 ↗
Read direction and trend, never a single level. One quarter of GDP or one month of IIP shows nothing. Three quarters of GDP, three months of IIP and six months of PMI, read together, show whether the economy is accelerating or slowing, and that is the only question that matters for the companies inside it.

Industry: Banking

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The 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.

Interest income
Interest earned on money lent

The main source of income for a bank, i.e. what it earns on the loans it has given out.

Read it as: the top line of a bank's P&L, in the place where sales would normally sit.
NII — Net Interest Income
Interest earned − Interest paid

The difference between the interest earned from lending and the interest paid out on deposits. This is the spread itself, in rupees.

Read it as: higher is better. NII growth is the bank's equivalent of sales growth.
NIM — Net Interest Margin
NII ÷ Total loan book

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%.

Read it as: higher is better, with one caveat. A NIM that is unusually high against peers can mean the bank is lending to riskier borrowers at higher rates, which shows up later as NPAs. NIM is read alongside asset quality in question 2, never on its own.
CASA — Current Account, Savings Account
CASA deposits ÷ Total deposits · %

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.

Read it as: higher is better. This is the single biggest reason one bank is funded more cheaply than another.
Cost of funds
Interest paid ÷ Total funds raised · %

The average cost of the money the bank raises across all of its sources, i.e. deposits, borrowings and bonds.

Read it as: lower is better. The chain is explicit: a high CASA ratio is why the cost of funds is low, and a low cost of funds is why the NIM is high. CASA, cost of funds and NIM are one mechanism, not three separate facts.

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.

NPA — Non-Performing Asset
Loan overdue for 90 days

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.

Read it as: lower is better. The 90-day rule means a loan can be in trouble for a full quarter before it appears in the numbers.
Gross NPA
NPAs ÷ Total advances · %

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.

Read it as: lower is better. Compare it with the bank's own history as well as with peers, as a rising gross NPA on a stable book is a different problem from a stable gross NPA on a fast-growing one.
Net NPA
Gross NPA − recoveries − provisions

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.

Read it as: lower is better. The gap between gross and net NPA shows how much of the problem has already been provided for.
PCR — Provision Coverage Ratio
Total provisions ÷ Gross NPA · %

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.

Read it as: higher is better. A high PCR is why a bank with an ugly-looking gross NPA can still be safe, and a low PCR is why an apparently clean one may not be.

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.

Advances growth
Growth in loans given · YoY %

The growth in loans given to customers. This is the bank's volume growth, and it drives NII growth in the next period.

Read it as: higher is better, with an important caveat. Fast advances growth alongside a rising gross NPA is the classic sign of a bank buying growth with bad credit.
CAR — Capital Adequacy Ratio
Own capital ÷ Risk-weighted loans · %

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.

Read it as: higher is better. The regulatory minimum is 9% for commercial banks and 12% for public sector banks, and a bank close to the minimum will need to raise equity in order to keep growing.
Loan-to-deposit ratio
Loans given ÷ Deposits accepted · %

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.

Read it as: higher is better for profitability, but a very high ratio means the bank is lending out nearly everything it takes in and has little liquidity buffer left if depositors withdraw.

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.

Operational cost ratio
Operating expenses ÷ Revenue · %

The expenses other than interest and provisions, i.e. the cost of running the bank, incurred in order to generate its revenue.

Read it as: lower is better. It is compared against peers rather than in isolation, as a bank with a large rural branch network will naturally run higher than a digital-first one.

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.

Two things that trip people up. Balance-sheet data only appears in the Q2 and Q4 results, and hence CAR, gross NPA and the loan-to-deposit ratio are updated twice a year. These should not be expected quarterly, and a Q2 figure should not be compared with a Q3 one. Secondly, use standalone figures and not consolidated ones. Several banks have significant non-banking subsidiaries (ICICI Bank has broking and insurance arms), and consolidated numbers blend businesses with completely different economics into ratios that then mean nothing.
Read our bank research reports →

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.

True cash
Cash & equivalents + financial investments + bank balances

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.

Watch for: investments in group companies or unlisted entities. These cannot be liquidated easily and should be left out.
True debt
Current borrowings + non-current borrowings

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.

Watch for: lease liabilities. Since Ind AS 116, leases appear on the balance sheet and should be treated as debt if the company cannot operate without the leased assets.
Net debt
True debt − true cash · then ÷ EBITDA

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.

Read it as: Net debt ÷ EBITDA shows the number of years of operating profit needed to repay the debt. This is compared with competitors, as the acceptable level differs by industry.
Capital intensity
PPE ÷ net sales

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.

Read it as: a rising figure over time shows the business is becoming more capital intensive. A falling figure while sales grow is the sign of an asset-light model.

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

  1. 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.
  2. 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.

Showing four key years, three apart.
Common-size P&L — BLS International, each line as % of sales
% 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
Common-size balance sheet — BLS International, each line as % of the total
% 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
Read the Mar-26 column with the notes to accounts open. Between Mar-25 and Mar-26, "Other manufacturing expense" goes from 46% of sales to 0%, "Selling and admin" goes to 0%, and "Other expenses" goes from 3% to 56%. Nothing has changed in the business. The line items have been reclassified in the reporting. Operating margin, which is not affected by where a cost is classified, only moves from 30% to 27%.

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.

Activity / turnover ratios
RatioFormulaRead
Fixed asset turnoverTurnover ÷ fixed assetsThe example above: ₹1,00,000 of assets on ₹2,00,000 of sales is 2×; ₹10,000 on the same sales is 20×.
Inventory turnoverCOGS ÷ average inventoryThe number of times inventory is sold in a year. Higher is better; a falling figure means stock is building up.
Receivables turnoverRevenue ÷ average receivablesHigher 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.

Current ratio
Current assets ÷ current liabilities

Compares everything that will convert to cash within a year against everything that must be paid within a year.

Read it as: ideally around 2. Below 1 means short-term liabilities exceed short-term assets. Well above 3 can mean idle cash or unsold stock.
Quick ratio (acid test)
(Current assets − inventory) ÷ current liabilities

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.

Read it as: the gap between this and the current ratio shows how much the company depends on selling its stock in order to stay liquid.
Interest coverage
EBIT ÷ interest payments

Shows how many times over the operating profit covers the interest bill.

Read it as: higher is better. This ratio is essential whenever a company carries heavy debt because its industry is capital-intensive, as a single bad year can turn a coverage of 2 into a default.

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.

Debt to equity
Total debt ÷ total shareholders' equity

Borrowed money compared with the shareholders' money. The true debt figure from Chapter 1 is used here, not the single reported line.

Read it as: a maximum of around 2. A growth company taking on debt is not automatically a problem. Check D/E, because equity may have grown just as fast.
Net debt to EBITDA
(True debt − true cash) ÷ EBITDA

The number of years of operating profit it would take to repay what the company owes, net of the cash it already holds.

Read it as: there is no universal ceiling. Compare it with competitors in the same industry, as a utility and a software company can both be well run at very different levels.

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.

ROE — return on equity
Net profit ÷ shareholders' equity

Shows how much profit the company generates on the money its shareholders have invested in it.

Read it as: should be at least 15%. Check that it is not being driven by debt, as a small equity base makes any ROE look high.
ROCE — return on capital employed
EBIT ÷ capital employed

Shows how much the company earns on all the capital it uses, debt and equity together, before interest and tax.

Read it as: should be at least 15%. Since it ignores how the company is funded, it is the cleaner comparison between two companies in the same industry.
Margins
Gross · operating · net (PAT) — each ÷ sales

Three cuts of the same statement: after direct costs, after operating costs, and after everything including interest and tax.

Read it as: margins should be stable, not fluctuating. Compare them with peers and with the company's own prior years, never with a fixed target.
On minimum margins
There is no universal minimum

A service business will normally run much higher margins than a manufacturer, as it has no raw material to buy.

Read it as: a 12% operating margin is excellent for a contract manufacturer and a concern for a software company. Always compare like with like.
Never read a ratio in isolation. Compare it with the company's own history and with its peers, and then ask why it is high or low. A low P/E on a business with declining sales is not a bargain, and a high ROE on a balance sheet full of debt does not show quality.

Cash flow and earnings quality

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Profit 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

CFO ÷ sales
Cash from operations ÷ revenue

Shows how many paise of each rupee of sales was converted into operating cash. Higher is better.

Read it as: the cash version of operating margin. If operating margin is rising but this ratio is not, the margin is being booked rather than collected.
CFO ÷ profit
Cash from operations ÷ net profit

The check from point 1, tracked over several years rather than for a single year.

Read it as: one weak year is usually a working-capital swing. Three weak years in a row is a pattern.

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.

FCF yield — FCF per share ÷ share price
YieldVerdict
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 sustainableExceptional. 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.

The idea behind the whole chapter: over time, stock prices move in line with growth in free cash flow. Every check above is a way of asking whether that growth is real.

Capital allocation and the checklist

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This 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.

ROCE
EBIT ÷ capital employed

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.

Read it as: should be at least 15%. Use it to compare two companies in the same industry regardless of how each one is funded.
ROIC
Return ÷ (equity + debt − cash)

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.

Read it as: the backward-looking figure. It shows what the capital already deployed is returning.
ROIIC
Change in net profit ÷ incremental capital invested

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.

Read it as: the forward-looking figure, and the one that actually determines future returns. A 50% ROIC means little if there is nowhere left to deploy capital at that rate.

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:

Calculating ROIIC over a window
StepCalculation
Invested capitalEquity + debt − cash, at the start and at the end of the window
B — incremental capital investedChange in invested capital over the window
A — cumulative earningsNet profit added up across every year of the window
C — reinvestment rateB ÷ A: the share of earnings that went back into the business
D — ROIICChange in net profit over the window ÷ B
Value compounding rateC × 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.

This rate is not a price forecast. It will differ from the stock's price CAGR, and may be higher, lower or about the same. Intrinsic value and market price converge over long periods and diverge constantly over short ones. The worked example below shows this in practice.

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.

ROIIC — BLS International, windows ending Mar-26, ₹ Cr
3-yr5-yr7-yr9-yr
Cumulative earnings (A)1,5891,9052,0072,209
Incremental capital invested (B)1,3791,5291,4771,521
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 cap13%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

The ₹1 test — BLS International, ₹ Cr
₹ Cr
Total retained earnings, Mar-17 to Mar-262,078
Market cap, Mar-171,753
Market cap, Mar-269,702
Market value created7,949
Value created per ₹1 retained3.8

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.

The ₹1 test measures two things at once and cannot separate them: management's capital allocation, and the market's mood on one particular day. Hence we run it across several end dates, or use an average market cap instead of a spot figure, and treat any single result as a range rather than a verdict. Ending at each of the last five Marches, BLS scores 1.6, 8.5, 12.7, 10.7 and 3.8. The accurate conclusion is "comfortably above 1, and volatile", not simply "3.8".

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.

What the same line means on two kinds of balance sheet
Growth companyMature company
PPEGrows fastNot rising rapidly
Capital work in progressHigh — building the future asset baseLow
Inventories & receivablesRising, often large receivablesNot rising rapidly
CashLowerHigh
DebtMay be rising — check D/E before panickingNegligible

Worked examples

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Two 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.

20%
20×
Earnings per share, ₹
YearCompany ACompany B (10%)

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.

+10%
+5%
Pretax profit, ₹
Company A (high margin)Company B (low margin)
Sales now100.00100.00
Costs now88.0098.00
Pretax profit now12.002.00
Sales after
Costs after
Pretax profit after
Change
A note on the source figures. The notes these examples come from give B's year-10 price as ₹26 and the operating-leverage changes as +50% and +355%. The arithmetic gives ₹51.80, +46.7% and +255%, and hence those are the figures used here. ₹26 would be B's price only if its P/E halved to 10.

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.

How we use it at Obsidere: a screen never picks a stock for you — it just narrows thousands of companies to a handful worth real study. The work starts after the screen, not before.
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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.
For investors, not traders: if you're buying to hold based on our research, you'll almost always use a CNC order at a limit price. MIS and intraday tools are for short-term trading, which isn't what Obsidere is about.
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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.

Dow trigger × valuation band
TriggerDeep valueLowMidHigh
Price breaks above the recent significant topStrongest setupStrong setupModerate setupNo value behind it
Price breaks below the recent significant bottomWeakness, not a warningWeakness, not a warningModerate cautionStrong 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.

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