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Fundamental analysis of banking stocks: the metrics that matter

A bank doesn't make a chair or a tube of toothpaste — it lends money and earns the spread, so the usual ratios miss the point. Fundamental analysis of banking stocks runs on a different toolkit: NIM, CASA, GNPA and NNPA, provision coverage, capital adequacy and ROA. Here's what each one tells you, and how banks differ from NBFCs and PSUs from private lenders.

By the StockGenie team··9 min read
Key takeaways
  • A bank's product is money, so a plain P/E or debt-to-equity ratio misreads it — borrowings are raw material, not a warning sign, and the metrics that matter are bank-specific.
  • Net interest margin (NIM) is the core spread a bank earns on its lending; a stable, healthy NIM points to a profitable, well-priced loan book.
  • CASA ratio measures how much of a bank's deposits sit in cheap current and savings accounts; a high CASA means cheaper funding and stronger margins.
  • Asset quality lives in GNPA and NNPA (bad loans) and the provision coverage ratio (PCR); low net NPAs with high coverage signal a bank that has owned its problem loans.
  • Capital adequacy (CAR) is the bank's shock absorber, and ROA is the cleanest cross-bank profitability measure since it sidesteps leverage.
  • NBFCs lack deposits, so cost of funds and liquidity matter more; PSU and private banks differ in ownership, NIM and asset quality, so always compare like with like.

Most people open a bank’s page, glance at the P/E, see a debt pile the size of a small country, and quietly back away. That instinct is wrong — and it’s the single most common mistake in banking sector stock analysis. A bank’s business is borrowing and lending. The deposits sitting on its balance sheet aren’t a red flag the way debt is for a manufacturer; they’re the raw material it turns into profit. Run a normal fundamental toolkit over a lender and you’ll reach the wrong conclusion confidently. Fundamental analysis of banking stocks needs its own set of gauges, and once you know the six that matter, a bank reads as clearly as any other business.

Why a bank isn’t a normal company

Picture two companies. One makes paint: it buys chemicals, makes a product, sells it for more than it cost, and tries to carry as little debt as possible. The other is a bank: it takes your deposit, pays you a little interest, lends that money to a borrower at a higher rate, and keeps the gap. For the paint company, debt is a risk. For the bank, deposits are inventory — the more it gathers cheaply, the more it can lend profitably.

That’s why the usual ratios mislead. Debt-to-equity is meaningless when borrowing is the product. A standalone P/E is shaky because bank earnings lurch with the credit cycle and with how much the bank sets aside for bad loans in any given quarter. If you want the general framework first, here’s what fundamental analysis of stocks actually involves — but for banks, swap in the metrics below. This is education, not advice; the call stays yours, and for anything serious a SEBI-registered adviser is worth a conversation.

NIM — the spread the bank lives on

Net interest margin is the heart of a bank. It’s the difference between the interest a bank earns on its loans and the interest it pays on its deposits and borrowings, expressed as a percentage of its assets. If a bank lends at 10% and funds itself at 6%, that roughly 4% spread, scaled across the balance sheet, is its core engine.

A healthy, stable NIM signals a bank that prices its loans well and funds itself cheaply. A NIM that’s quietly sliding year after year is worth chasing down — it can mean rising funding costs, tougher competition, or a shift toward lower-yielding (and usually safer) lending. Large private banks in India often operate in a broad 3–4% band; some NBFCs run higher because they lend to riskier borrowers at higher rates. Don’t compare across types. Compare a bank with its own past and its closest peers.

CASA — cheap money is the moat

CASA stands for current account and savings account. The CASA ratio is the slice of a bank’s total deposits held in these low-cost or no-cost accounts, versus expensive fixed deposits. It matters because a savings account pays the depositor far less than a fixed deposit does — so the more CASA a bank holds, the cheaper its funding, and the fatter its NIM can be.

A bank with a 45% CASA ratio is funding nearly half its book on the cheap. That’s a durable edge a rival can’t copy overnight, because CASA comes from salary accounts, trust and branch reach built over years. When you see a strong, sticky CASA ratio, you’re usually looking at a bank with a real franchise underneath the numbers.

Watch how the metrics link up. High CASA feeds a healthy NIM, which supports ROA, which builds capital the bank can lend against again. Banking analysis isn’t six separate scorecards — it’s one chain. A weak link in funding (low CASA) shows up two steps later as a thinner margin. Read them together, never in isolation.

Asset quality — GNPA, NNPA and provision coverage

A bank’s biggest risk is simple: it lends money that doesn’t come back. That’s where asset quality comes in, and it’s measured in three linked figures.

  • GNPA (gross NPA) is the total value of loans that have stopped performing, as a percentage of the loan book. It’s the raw scale of the problem.
  • NNPA (net NPA) is what’s left after the bank sets money aside against those bad loans. It’s the problem the bank hasn’t yet absorbed.
  • PCR (provision coverage ratio) is how much of the bad loans the bank has already provided for. A high PCR means the bank has owned its problem and taken the hit on paper.

The combination tells the story. A bank with a low NNPA and a high PCR has faced its bad loans honestly — the damage is largely behind it. A bank with a high GNPA, a high NNPA and a thin PCR is carrying problems it hasn’t reckoned with, and those can surface in a future quarter. Trends matter more than any single number: NPAs creeping up across several quarters is a warning the chart will never show you.

CAR and ROA — the shock absorber and the scorecard

Two more numbers round out the picture. Capital adequacy ratio (CAR) measures the buffer of its own capital a bank holds against its risk-weighted loans. The RBI sets a minimum, and a bank comfortably above it can absorb losses and keep lending through a rough patch; one scraping the floor has little room to manoeuvre. Think of CAR as the airbag — you hope it’s never needed, but you want it well inflated.

Return on assets (ROA) is the cleanest way to compare profitability across banks. Because every bank is heavily leveraged, ROE can flatter a bank that’s simply borrowed more. ROA — profit as a percentage of total assets — strips that out and asks the honest question: how well does this bank earn on everything it holds? A consistent ROA around 1.5% or higher generally marks a strong Indian bank, though the bar varies by segment. These five or six figures, read together, are the backbone of any serious read. If you want the broader ratio context, here are the financial ratios that matter across all kinds of companies.

NBFCs are a different animal

Now the twist that trips people up: an NBFC is not a bank. Non-banking financial companies lend money, but most can’t accept public deposits the way banks do. So instead of cheap CASA, they fund themselves by borrowing from banks, mutual funds and the bond market — which makes their cost of funds and their access to credit the make-or-break factor.

For fundamental analysis of NBFC stocks, shift your attention. CASA is irrelevant. Instead, study the borrowing mix, the cost of funds, and above all asset-liability management — the dangerous gap that opens when an NBFC borrows short-term money to make long-term loans. If lenders stop rolling over that short-term funding, even a profitable NBFC can seize up. Liquidity, not just profitability, is the risk that defines the segment. Capital and provisioning norms differ from banks too, set by the RBI under its own NBFC framework.

PSU vs private — compare like with like

One last lens. Indian banking splits roughly into public-sector banks (majority government-owned) and private banks, and they behave differently enough that mixing them up wrecks an analysis.

PSU banks often trade at lower valuations and carry an implicit government backstop, but historically they’ve run thinner NIMs, lower CASA and patchier asset quality. Private banks tend to show higher margins, stronger CASA and tighter underwriting, usually at richer valuations. Neither is “better” in the abstract — they’re optimised for different things. The discipline is to benchmark a PSU bank against other PSU banks and a private bank against its private peers, never one against the other. The same goes for small-finance banks and NBFCs: every sub-segment has its own normal.

Reading a bank without the manual labour

Pulling NIM, CASA, the NPA figures, PCR, CAR and ROA from a quarterly result, lining them up across five years, and benchmarking each against the right peer set is real work — and it’s exactly the legwork that stops most people from analysing banks properly. That’s the job StockGenie’s fundamental analysis is built to do: point it at any NSE-listed bank or NBFC and it reads the banking-specific metrics, tracks the trends, flags rising NPAs or thinning margins, and writes the strengths and risks in plain English or Hindi, with a score out of 100.

The score isn’t a verdict, and that’s on purpose. No buy, sell or hold calls — just a transparent breakdown of the numbers that actually matter for a lender, so you can question it and decide for yourself. Used this way, it doubles as a teacher: read a few bank analyses and the metrics above stop being jargon and start being instinct.

StockGenie provides analysis and education only — not investment advice. Always consult a SEBI-registered adviser before investing.

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Frequently asked questions

Why can't I use a normal P/E ratio for a bank?
You can look at it, but it tells you less than usual. A bank's earnings swing with its loan book, its provisioning and the credit cycle, so a P/E snapshot hides more than it shows. For banks, price-to-book (P/B) paired with ROE and ROA is far more telling, because it weighs what the market pays against the bank's actual net worth and how well it earns on its assets.
What is a good NIM for an Indian bank?
There's no single magic number — it depends on the type of lender. Large private banks often run net interest margins in a broad 3–4% range, while some NBFCs and small-finance banks run higher because they lend at higher rates to riskier borrowers. What matters more than the absolute figure is whether the NIM is stable or improving over several years and how it compares with close peers, not with a bank in a different segment.
What's the difference between GNPA and NNPA?
GNPA (gross non-performing assets) is the total value of loans that have stopped being repaid, as a share of the loan book. NNPA (net NPA) is what's left after the bank sets aside provisions against those bad loans. A low NNPA with a high provision coverage ratio means the bank has already absorbed most of the hit, which is a healthier sign than a bank still carrying its problem loans at near-full value.
How is fundamental analysis of NBFC stocks different from banks?
NBFCs generally can't take public deposits, so they borrow from banks and markets to lend onward. That makes their cost of funds, borrowing mix and liquidity (the gap between when they must repay and when their loans come due) central to the analysis. CASA doesn't apply, capital and provisioning norms differ, and asset-liability management becomes a key risk you won't worry about as much with a deposit-funded bank.
Are PSU banks or private banks better to analyse?
Neither is automatically better — they're different animals. Public-sector banks often trade at lower valuations and carry government backing but have historically run thinner margins and weaker asset quality. Private banks tend to show higher NIM, better CASA and tighter underwriting. The point of analysis isn't to crown a winner; it's to understand each on its own terms. For any investment decision, consult a SEBI-registered adviser.
Where do I find these banking metrics for free?
Bank results, investor presentations and annual reports filed with NSE India and BSE India spell out NIM, CASA, GNPA, NNPA, PCR and CAR every quarter. The RBI publishes sector-wide banking data and the prudential norms that define these terms. Zerodha Varsity explains the concepts in plain language. Stick to these official and educational sources rather than tip channels.