How the Bank Is Judged

Reading a Bank's Results

A bank's whole health reads off about seven numbers you can scan in five minutes.

Why you care

Whether you're in an interview, pitching a client, or judging your own employer, reading a results deck is an edge most bank staff never build. The whole institution's health reads off about seven numbers — you don't memorise them, you understand the lever each one measures.

Run the numbers

Side by side, Bank A (NIM 3.6%, CASA 45%, NNPA 0.8%) clearly beats Bank B (2.9%, 32%, 3.1%) (illustrative) — cheaper funded, cleaner book, leaner — without reading a word of commentary. That's the power of the scorecard.

Where this goes

This hub is where the four clusters of the map converge: the spread engine, funding, the NPA story, and the bottom line. Start here and click into whichever number you want to understand.

Why you care

A bank's quarterly results look intimidating, but the health of the whole institution can be read off about seven numbers. Once you know what each one means and how they connect, you can size up any bank in five minutes.

Whether you're sitting in an interview, pitching a corporate client, or just trying to understand how your own employer is doing, the ability to read a results presentation is a genuine edge. Most bank staff never develop it. This node is the map's "scorecard" — it ties the whole product together. Each number below is a doorway into the concept behind it: you don't memorise the metric, you understand the lever it measures.

The Scorecard

Question about the bank The number to read Good sign
Is it making money on its core job? NIM Higher / stable (~3–3.5%)
Is it funded cheaply? CASA ratio Higher (~40%+)
How bad is its loan book? Gross / Net NPA Lower; NNPA near ~1%
Is it prepared for those bad loans? Provision Coverage Ratio Higher (~70%+)
Is it run efficiently? Cost-to-income Lower (~40–45%)
Is it profitable overall? Net profit → ROA / ROE ROA ~1%, ROE ~15%+
Is it safe / well-capitalised? CRAR Comfortably above ~11.5%

Run the numbers

Two banks, same quarter (illustrative):

Metric Bank A Bank B
NIM 3.6% 2.9%
CASA ratio 45% 32%
Net NPA 0.8% 3.1%
PCR 75% 55%
Cost-to-income 42% 58%

Without reading a single line of commentary, the story is clear. Bank A funds itself cheaply, lends cleanly, and runs lean. Bank B is more expensively funded, carrying more bad loans, less prepared for them, and less efficient. That's the power of the scorecard — the numbers tell the story.

Where this goes

This hub is where the four clusters of the map converge: the spread engine (NIM), funding (CASA ratio), the NPA story (GNPA/NNPA, PCR), and the bottom line (net profit, ROA/ROE, cost-to-income, CRAR). Start here and click into whichever number you want to understand.

What causes what

See where this sits in the whole map