Compare Two Indian Lenders on One Metric Sheet for Finance Interviews
Two lenders can both report rising profits - and still be completely different stories. One may be growing safely through cheap deposits and tight credit filters; the other may be buying growth with expensive borrowings, looser underwriting and future NPAs hiding in the book.
- Compare lenders on one sheet across six buckets: growth, margins, operating efficiency, asset quality, funding strength and capital adequacy.
- Never compare a bank and an NBFC blindly - a bank has CASA deposits; an NBFC usually relies more on wholesale borrowings and securitisation.
- The clean interview answer is: business model first, ratios second, judgement last.
- Key lender metrics: AUM or advances growth, NIM, cost-to-income, credit cost, GNPA/NNPA, ROA/ROE and capital adequacy.
- A high-growth lender is not automatically better; growth is valuable only if asset quality and capital remain strong.
- The most dangerous trap is celebrating high NIM without asking whether it comes from superior pricing power or simply higher-risk borrowers.
- Your final conclusion should be risk-adjusted: “Lender A is stronger for stability; Lender B is stronger for growth, but with higher credit-cycle sensitivity.”
Big Picture: One Sheet, Not Ten Annual Reports
A lender is essentially a machine that raises money, lends it out, earns a spread, controls costs, absorbs credit losses and protects itself with capital. A single metric sheet works because every lender, whether a private bank, PSU bank, housing finance company or NBFC, must pass through the same economic engine.
Core Explanation: How to Build the Single Metric Sheet
Start with the business model. Is the lender a bank, NBFC, housing finance company, gold-loan company, microfinance lender or vehicle financier? This matters because the same ratio can mean different things across models. A 3 percent NIM can be strong for a large bank but weak for a high-risk NBFC; a higher NIM may simply compensate for higher credit risk.
Then compare the two lenders across six dimensions. Do not try to cover every ratio from the annual report. Pick the few that explain the story.
Net Interest Margin: net interest income divided by average earning assets. Credit cost: provisions and write-offs divided by average loans.
Bank vs NBFC: The Two-Sided Comparison You Must Normalise
The most useful comparison is not “which lender has the higher number?” It is “which lender earns that number with better risk, funding and capital discipline?” This is especially important when comparing a deposit-taking bank with an NBFC.
The Five-Step Method to Compare Any Two Indian Lenders
Worked Example: Same Profit Growth, Different Quality
Use a small numerical example to see why one sheet beats a headline comparison. Assume both lenders are hypothetical.
ROA for Lender A = ₹1,500 crore / ₹100,000 crore = 1.5%. ROA for Lender B = ₹1,800 crore / ₹100,000 crore = 1.8%. On ROA alone, B looks better.
Now add quality. Cost-to-income for A = ₹2,400 crore / ₹6,000 crore = 40%; for B = ₹3,750 crore / ₹7,500 crore = 50%. Credit cost for A = ₹800 crore / ₹80,000 crore = 1.0%; for B = ₹2,200 crore / ₹80,000 crore = 2.75%.
The better answer is not “B has higher profit.” It is: B currently earns higher ROA, but A appears cleaner on operating efficiency and credit cost; B needs closer scrutiny of underwriting and loan mix.
Decision Matrix: Four Lender Stories in One View
Once the numbers are on the sheet, classify the lender. This prevents a vague answer and forces a boardroom-style judgement.
Definitions You Should Say Cleanly
- ROA: net profit divided by average total assets; it shows profit earned per rupee of assets.
- ROE: net profit divided by average shareholders’ equity; it shows return generated for owners.
- GNPA ratio: gross non-performing assets divided by gross advances; it measures visible stressed loans before provisions.
- NNPA ratio: net NPAs divided by net advances; it measures residual stressed loans after provisions.
- Capital adequacy: regulatory capital divided by risk-weighted assets; it shows shock absorption capacity.
Case Study: Cholamandalam Investment and Finance vs a Large Private Bank
Cholamandalam shows why an NBFC should not be judged like a bank: its story depends on secured lending niches, collection discipline, liability management and capital buffers.
Cholamandalam Investment and Finance Company, part of the Murugappa Group, has historically built its lending franchise around vehicle finance and gradually diversified into areas such as loan against property and SME lending. Compare that with a large Indian private bank, whose economics are anchored by deposits, CASA franchise, payments relationships, corporate banking and cross-sell.
On a single metric sheet, the bank may look superior on funding cost because deposits are structurally cheaper than NBFC borrowings. Chola, however, should be tested on a different strength: whether it can earn attractive risk-adjusted spreads in specialised secured lending while keeping collections, credit cost and capital under control.
The lesson is not that one is automatically better. The bank’s primary advantage is funding; Chola’s primary advantage is specialised lending execution. The supporting drivers - branch reach, dealer relationships, collections, liability diversification and capital discipline - decide whether those advantages convert into durable shareholder returns.
How AI Changes Comparing Two Indian Lenders
AI is making lender comparison faster, but it does not remove judgement. It changes the analyst’s workflow in three concrete ways.
- Document intelligence: LLM tools can extract NIM, GNPA, credit cost, segment mix and capital adequacy from annual reports, investor presentations and earnings-call transcripts into one comparison sheet.
- Early-warning analysis: Banks and NBFCs increasingly use ML models on bureau data, repayment behaviour, bank statements, GST-linked business signals and collections data to flag borrower stress earlier. The caveat is model bias, explainability and compliance with RBI expectations and India’s DPDP privacy regime.
- Natural-language peer benchmarking: Analysts can ask questions such as “Which lender’s margin improved because of pricing and which because of loan mix?” and use AI to summarise management commentary across quarters.
Load the latest annual report and investor presentation of both lenders into NotebookLM. Ask it to extract a table with AUM growth, NIM, cost-to-income, GNPA, NNPA, credit cost, ROA, ROE and capital adequacy - then manually verify every number against the original PDF before using it.
Interview Relevance
“Compare two Indian lenders - say a bank and an NBFC - using one metric sheet. Which one is financially stronger?”
If you do not remember exact numbers, say: “I would build the sheet using these metrics and compare the latest annual report values.” Interviewers often reward the structure more than memorised ratios.
The biggest mistake is comparing raw ratios without explaining the business model. A bank’s NIM, an NBFC’s NIM and a microfinance lender’s NIM do not mean the same thing. Fix: first normalise for funding source, loan mix and risk profile - then interpret the ratios.
What to Revise Next
This is a natural capstone for lender analysis. For final revision, take any two listed Indian lenders, build the six-metric sheet yourself from their latest investor presentations, and practise giving a 90-second risk-adjusted verdict. That exercise ties together financial statements, ratios, business model analysis and interview communication.