KARNATAKA BANK LTD (KTKBANK): Financials & Fundamentals History

Share price

Closing priceAdjusted for splits and bonus issues.

3M1Y3YAll

₹331.9 latest close · +26.0% over the last 90 sessions

₹331.9 month-end · +56.5% over 12 months

₹331.9 month-end · +55.9% over 3 years

₹331.9 month-end · +721.3% since Jun '20

52-week range ₹173.80 to ₹345.90 · 1-year volatility 35.8%

Was the rally earned?

1 year3 years5 years

+57%share price, 1 yearEarnings and multiple

Both mattered.

Per-share earnings added 26 points and the multiple added 30 points (P/E 6.9x to 8.7x).
The share count barely moved.

Net profit growth+27 ptsNet profit rose about 24%, which lifts the price.

P/E change+30 ptsThe P/E rose from 6.9x to 8.7x, which lifts the price.

Share count change0 ptsShare count was little changed. More shares would count against the price.

+56%share price, 3 yearsMultiple-driven

Partly.

Most of the rise came from investors paying a higher multiple (P/E 5.6x to 8.7x); per-share earnings added 1 point.
The share count rose 21%.

Net profit growth+25 ptsNet profit rose about 22%, which lifts the price.

P/E change+55 ptsThe P/E rose from 5.6x to 8.7x, which lifts the price.

Share count change-24 ptsShare count rose 21%, which lowers the price.

+435%share price, 5 yearsEarnings and multiple

Both mattered.

Per-share earnings added 232 points and the multiple added 202 points (P/E 4.0x to 8.7x).
The share count rose 22%.

Net profit growth+284 ptsNet profit rose about 199%, which lifts the price.

P/E change+202 ptsThe P/E rose from 4.0x to 8.7x, which lifts the price.

Share count change-51 ptsShare count rose 22%, which lowers the price.

What do "pts" mean?

"pts" are percentage points of the share price return. The parts add up to the total shown for each period. Because price = P/E × net profit ÷ share count, higher profit pushes the price up, a higher P/E pushes it up, and more shares push it down.

Example: if the price rose 34% and profit growth accounts for +58 pts while a lower P/E accounts for -24 pts, then 58 - 24 = 34. The +58 is not the profit growth rate itself: it is the part of the price move that profit growth explains.

Net profit is trailing twelve months as reported with a 60-day lag.

Compare this with ICICI BANK

How rough has the ride been?

Maximum drawdown-72.3%recovered 2022-11

1-year volatility35.8%annualised

Beta vs sector index0.863-year daily, correlation 0.48

Volume spikes0last 90 sessions, 5x the 50-day median

Drawdown from peak

Largest drawdowns

-72.3% (2019-04 peak to 2020-05 low, recovered 2022-11)

-41.7% (2024-01 peak to 2025-03 low, recovered 2026-05)

-23.2% (2022-12 peak to 2023-03 low, recovered 2023-06)

Beta is the slope of daily returns against a market-cap-weighted index of the sector's other listed companies, built from today's constituents (so it excludes companies no longer listed).

Is it expensive against its own past and its peers?

0.9xP/B todayNear its historic high

Against its own history99th percentile

CheapestMedian 0.6xDearest

Usual range 0.3x to 0.9x since 2020-06.

Against Finance0.9x vs 1.5x

This company

0.9x

Sector median

1.5x

37% below the Finance median.

P/BP/EP/S

P/B (this company)10th to 90th percentile of its own historyIts medianFinance median

The chart loads when you open this tab.

P/E (this company)10th to 90th percentile of its own historyIts medianFinance median

The chart loads when you open this tab.

P/S (this company)10th to 90th percentile of its own historyIts medianFinance median

How to read this

Shaded band: 10th to 90th percentile of the company's own P/B history; dotted line: its median; orange line: sector median (companies with a positive multiple, at least 5 in the sector).

Sector figures are built from today's listed companies, so they exclude companies that are no longer listed.

All terms explained in the glossary →

How Finance is valued

Where does it rank among Finance peers?

Each cell is the company's percentile rank among its Finance peers (banks and financial companies) that month.
Darker is better-ranked.
Rows marked ↓ are inverted (lower debt, shorter cash cycle and a lower P/E rank higher).

Where it ranks today

ROE (approx.)40th▼ 5 pts vs a year ago
EPS growth72nd▲ 45 pts vs a year ago
P/B ↓71st▼ 21 pts vs a year ago
12M momentum95th▲ 46 pts vs a year ago
FII + DII67thflat vs a year ago

Rank history

ROE (approx.)

EPS growth

P/B ↓

12M momentum

FII + DII

Dec '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Jul '26Nov '26

Lower rank Higher rank Not enough data

Percentiles use today's listed companies in the sector and need at least 5 peers with a value; grey cells have too few.
ROE is computed from net profit and book value where the source does not report it.

The Finance sector page Watch it move against Finance in the Observatory

What is the price implying?

~8%annual earnings growth implied by the priceBelow delivered growth

At normalised P/E (five-year average earnings) of 11.2x, a holder earning 12%/yr needs earnings to grow about 7.6%/yr for 10 years, then trade at 15x.

Delivered22.5%/yrEPS, last 7 fiscal years · 3-yr avg to 3-yr avg

Gap−14.9 ptsimplied minus delivered

Rank44thmost demanding of 63 financials

Over time

Implied growth by month (solid) and delivered growth (dashed).

Change the assumptions

Exit P/E / return	11%	12%	13%
12x	8.9%	9.9%	10.8%
15x	6.6%	7.6%	8.5%
20x	3.8%	4.7%	5.6%

Drag a slider to test other assumptions

Required return 12.0% Years 10 Exit P/E 15x Implied: 7.6%/yr

Looking back

Jan 2021Price implied −1%/yr; EPS has since grown 17%/yr (6.0 yrs)
Jan 2022Price implied −3%/yr; EPS has since grown 18%/yr (5.0 yrs)

Past comparisons cover only companies listed today (survivorship bias) and say nothing about future outcomes.

“Implied growth” is what the current price would require under our stated assumptions, not what we expect. How this is calculated and the market-wide lists.

What prices imply across Finance The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov: ₹331.90
P/E: 8.7x
Market Cap: ₹12568 cr
Revenue (TTM): ₹9039 cr
P/S: 1.4x
P/B: 1.0x
ROE: 10.0%
Debt / Equity: 0.4x
12M Momentum: 56.5%

52-week range

₹173.80₹345.90

92% of the way from its 52-week low to its high

Price risk

1Y volatility

35.8%

Beta vs sector

1-year daily

0.87

Balance sheet & cash

Share count, 1Y

unchanged

Are profits backed by cash?

1 of 1checks within rangeAll clear

Tax rate22%Within range

Median quarterly effective tax rate over about 2.5 years: 22.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Tap a check to see how it is measured

Cash conversion and receivable days are not meaningful for banks and NBFCs, so only the other-income and tax-rate checks are shown.

How to read this

Each check is a named rule with fixed thresholds, not a score. Annual statements are the latest restated figures, so a past year may differ from what was originally reported.

All terms explained in the glossary →

Who has been buying and selling?

Over 3 years, FIIs trimmed 9.6 pts; DIIs added 7.2 pts.
The number of shareholders rose from 2.6 lakh to 3.7 lakh (+44%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change

Promoters———

FIIs22.7%13.1%-9.6 pts

DIIs8.6%15.8%+7.2 pts

Public and others68.7%71.2%+2.4 pts

Number of shareholders

3.7 lakhshareholders+44% since Sep '23

Quarterly shareholding as reported, labelled by the quarter it covers (it becomes visible about two months later).
Shareholder counts are only available for recent quarters.

This quarter's smart-money board

What happened next to similar setups

−2.7%typical 12-month return vs the marketNot meaningfully different from the base rate

We found 50 past situations where a bank, NBFC or insurer looked like KARNATAKA BANK LTD today on valuation, return on capital, growth, price momentum, size and volatility.
Over the following 12 months the middle half of them returned −23% to +21% vs the market, against 0% for all financial companies in the same months.
The gap against the base rate (−2.8%, 80% range −10.5% to +4.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

Each dot is one past situation (hover or tap for details) · Solid dots are the closest matches, listed below · Shaded is the middle half of all companies in the same months · 1 beyond the range shown, drawn at the edge

Similar setups' median

−2.7%

All companies' median

+0.1%

Beat the market

46% vs 50%

50 past situations · 50 companies · 31 months · 2020–2025

The closest matches

Company	When	P/E	P/B	12M mom.	Drawdown	Next 12 months
PFS Finance	Nov 2020	11x	0.6x	+34%	−9%	−29%
INDIANB Finance	Mar 2023	8x	0.8x	+88%	−5%	+21%
HUDCO Finance	Sep 2023	11x	1.2x	+160%	0%	+82%
KARURVYSYA Finance	Jan 2023	13x	1.1x	+114%	−6%	+33%
J&KBANK Finance	Feb 2024	13x	1.5x	+191%	−3%	−31%

Show the other 3 matches

Company	When	P/E	P/B	12M mom.	Drawdown	Next 12 months
UNIONBANK Finance	Nov 2022	10x	0.7x	+98%	−1%	+17%
SOUTHBANK Finance	Jan 2024	11x	1.3x	+93%	0%	−25%
CUB Finance	Jan 2025	12x	1.5x	+20%	−7%	+64%

How reliable is this?

Matched on P/E, P/B, ROE, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: drawdown from 12-month high, ROE and P/B. One match per company and at most 7 from any one month.

Independent periods: the matches fall in 5 distinct 12-month windows. Matches from nearby months share the same market conditions, so fewer windows means less evidence.

How this is built

This is history, not a forecast. These are past situations where other companies had broadly similar reported numbers and price trends. What happened to them does not tell you what will happen to KARNATAKA BANK LTD. The comparison covers only 2020–2025, a single market period, and only companies still listed today. Companies that were delisted or went bankrupt are missing, which makes past outcomes look better than they were. Returns exclude dividends and are measured against an ApnaFunda-built index, not an official benchmark. Fundamentals are matched on a 60-day assumed reporting lag, not actual announcement dates. Its historical skill has not yet been measured. Past patterns may not repeat.

Methodology

How historical analogs are built

Data as of 2026-11-09. Outcome pool: Jan 2020 to Oct 2025.

For every company we look at the situation it is in today (valuation, return on capital, margins, debt, growth, 12-month price momentum, drawdown, size and volatility) and find past company-months that looked most like it. We then show what happened to those past situations over the following 12 months, measured against the ApnaFunda All index and against the base rate. It describes history. It does not predict anything.

What is compared

Feature	Weight	Non-financial	Financial
P/E	1	yes	yes
P/S	1	yes	—
P/B	1	—	yes
ROCE	1	yes	—
operating margin	1	yes	—
ROE	1	—	yes
debt/equity	0.75	yes	—
interest cover	0.5	yes	—
revenue growth	0.75	yes	yes
12-month momentum	1	yes	yes
drawdown from 12-month high	0.75	yes	yes
size	0.75	yes	yes
volatility	0.5	yes	yes

Weights were set by judgement before any outcome was looked at and are never tuned on results. Loss-making companies (negative P/E or net profit) are only matched with other loss-making companies. Banks, NBFCs and insurers are compared only with each other and use a different feature set. Every feature is converted, month by month, to its rank among companies in the same pool in that month, so a P/E of 30 in a hot market and a P/E of 22 in a cold one can match if both were equally expensive for their time. Only that month's data is used.

How closeness and the sample are defined

Distance is the weighted root-mean-square gap between the standardised features both companies have. A match needs at least 70% of the query's feature weight, a distance of at most 0.9, and 30 matches at minimum to be shown. We keep up to 50 matches with these exclusions: never the company itself, one match per company (its closest month), and at most 7 from any one calendar month so a single market episode cannot dominate.

Base rate

The base rate is the distribution of 12-month returns, relative to the market, of every eligible company-month in the same pool, with each month weighted to match the months the analogs came from. It answers: how did a random company do in these same months? Because matches from nearby months share the same market conditions, we also report the number of distinct 12-month windows behind a result, and a bootstrap that resamples months decides whether the analog median differs from the base rate at all. "Not meaningfully different" is the usual outcome and the page copy is written for it.

Limits you should know

One market period. The outcome pool covers 2020–2025 only (70 months), including the 2020 crash and the 2020–21 rally.
Survivorship. Only companies listed today are included. Delisted and bankrupt companies are missing, which flatters past outcomes, particularly for distressed-looking setups.
Price return only. Dividends are excluded, and the benchmark is an ApnaFunda market-cap-weighted index of the same listed companies, not an official index.
Reporting lag. Fundamentals are matched on an assumed 60-day lag after the quarter end, not on real announcement dates.
Pools: non-financial: 98,395 company-months from 2019 companies; financial: 5,659 company-months from 108 companies. 2349 companies currently have a result; the rest are suppressed because too few comparable situations exist.

Does it work? A walk-forward check

The walk-forward check has not been run for this build, so skill is shown as not yet measured.

Disclaimer

This is history, not a forecast. These are past situations where other companies had broadly similar reported numbers and price trends. What happened to them does not tell you what will happen to any company shown. The comparison covers only 2020–2025, a single market period, and only companies still listed today. Companies that were delisted or went bankrupt are missing, which makes past outcomes look better than they were. Returns exclude dividends and are measured against an ApnaFunda-built index, not an official benchmark. Fundamentals are matched on a 60-day assumed reporting lag, not actual announcement dates. Its historical skill has not yet been measured. Past patterns may not repeat.

What else looks like this?

Companies with the most similar financial profile today, regardless of industry.

PUNJAB & SIND BANKPSB

Finance

77%similar

ROEEPS growth

EQUITAS SMALL FINANCE BANKEQUITASBNK

Finance

65%similar

volatilityP/B

PTC INDIA FINANCIAL SERVICES LPFS

Finance

61%similar

ROEvolatility

Similarity is statistical, based on reported metrics; it does not imply similar business quality or future returns.

What changed?

30 events since Jun '23

2026
SepResultsRevenue (TTM) reached a new high of ₹9,039 cr.
SepPeer rankMoved into the 2nd quartile of Finance on EPS growth (from the 3rd quartile).
AugValuationP/B crossed above the 90th percentile of its own history to date (1.0x).
JunResultsYear-on-year EPS growth turned positive.
JunPeer rankMoved into the 3rd quartile of Finance on EPS growth (from the bottom quartile).
MayPriceRegained the 2024-01 peak, 14 months after the low.
MayPriceVolume reached 5.6x its 50-day median on 2026-05-20; price +6.5% that day.
AprValuationP/B crossed above the 90th percentile of its own history to date (0.8x).

Show 22 earlier events

2026
MarInstitutionsFII + DII holding fell 5.1 pts over 2 quarters to 27.5%.
JanDebtDebt / equity halved over 12 months to 0.16x.
JanPriceVolume reached 7.5x its 50-day median on 2026-01-02; price -3.3% that day.
2025
DecPeer rankSlipped to the bottom quartile of Finance on EPS growth (from the 3rd quartile).
NovPriceVolume reached 43.1x its 50-day median on 2025-11-25; price +8.4% that day.
JunPeer rankSlipped to the 3rd quartile of Finance on ROE (from the 2nd quartile).
JunDebtDebt / equity halved over 12 months to 0.16x.
JunPriceVolume reached 16.4x its 50-day median on 2025-06-30; price -5.8% that day.
MarPriceFell 42% from the Jan 2024 peak to the Mar 2025 low.
2024
DecResultsYear-on-year EPS growth turned negative.
DecInstitutionsFII + DII holding fell 9.6 pts over 2 quarters to 32.3%.
SepResultsYear-on-year EPS growth turned positive.
JulPriceVolume reached 6.8x its 50-day median on 2024-07-29; price +6.7% that day.
JunResultsYear-on-year EPS growth turned negative.
JunPeer rankSlipped to the bottom quartile of Finance on EPS growth (from the top quartile).
JunSharesShare count is up 20.8% over 12 months.
MarInstitutionsFII + DII holding rose 5.4 pts over 1 quarter to 36.7%.
JanPriceVolume reached 9.6x its 50-day median on 2024-01-12; price +7.5% that day.
2023
DecPriceVolume reached 5.7x its 50-day median on 2023-12-13; price +5.7% that day.
JulPriceVolume reached 10.1x its 50-day median on 2023-07-05; price +6.0% that day.
JunResultsRevenue (TTM) reached a new high of ₹7,220 cr.
JunPeer rankMoved into the 2nd quartile of Finance on ROE (from the 3rd quartile).

Events are generated from the data by fixed rules.
The month shown is when the change became visible in the reported figures, assuming a 60-day lag after each quarter end; it is not an announcement date.

Where price and fundamentals disagree, market-wide Rewind the whole market to any month

Monthly history78 months · 2020-06 to 2026-11

Month	P/E	Revenue (TTM)	ROE	Debt / Equity
2026-11	8.7x	₹9039 cr	10.0%	0.4x
2026-10	7.8x	₹9039 cr	10.0%	0.4x
2026-09	8.7x	₹9039 cr	10.0%	0.4x
2026-08	9.7x	₹8917 cr	10.0%	0.4x
2026-07	8.2x	₹8917 cr	10.0%	0.4x
2026-06	7.9x	₹8917 cr	10.0%	0.4x
2026-05	8.8x	₹8918 cr	11.0%	0.2x
2026-04	8.8x	₹8918 cr	11.0%	0.2x
2026-03	7.3x	₹8918 cr	11.0%	0.2x
2026-02	6.7x	₹8941 cr	11.0%	0.2x
2026-01	6.0x	₹8941 cr	11.0%	0.2x
2025-12	6.8x	₹8941 cr	11.0%	0.2x
2025-11	6.9x	₹8996 cr	11.0%	0.2x
2025-10	5.8x	₹8996 cr	11.0%	0.2x
2025-09	5.6x	₹8996 cr	11.0%	0.2x
2025-08	5.0x	₹9013 cr	11.0%	0.2x
2025-07	5.2x	₹9013 cr	11.0%	0.2x
2025-06	5.6x	₹9013 cr	11.0%	0.2x
2025-05	5.6x	₹8956 cr	14.0%	0.4x
2025-04	5.6x	₹8956 cr	14.0%	0.4x
2025-03	5.0x	₹8956 cr	14.0%	0.4x
2025-02	4.5x	₹8826 cr	14.0%	0.4x
2025-01	5.1x	₹8826 cr	14.0%	0.4x
2024-12	5.7x	₹8826 cr	14.0%	0.4x
2024-11	5.4x	₹8619 cr	14.0%	0.4x
2024-10	5.6x	₹8619 cr	14.0%	0.4x
2024-09	6.1x	₹8619 cr	14.0%	0.4x
2024-08	6.4x	₹8299 cr	14.0%	0.4x
2024-07	6.7x	₹8299 cr	14.0%	0.4x
2024-06	6.3x	₹8299 cr	14.0%	0.4x
2024-05	5.5x	₹7220 cr	15.0%	0.2x
2024-04	6.0x	₹7220 cr	15.0%	0.2x
2024-03	5.8x	₹7220 cr	15.0%	0.2x
2024-02	5.9x	₹7220 cr	15.0%	0.2x
2024-01	6.6x	₹7220 cr	15.0%	0.2x
2023-12	6.0x	₹7220 cr	15.0%	0.2x
2023-11	5.6x	₹7220 cr	15.0%	0.2x
2023-10	5.9x	₹7220 cr	15.0%	0.2x
2023-09	6.4x	₹7220 cr	15.0%	0.2x
2023-08	5.7x	₹7220 cr	15.0%	0.2x
2023-07	5.4x	₹7220 cr	15.0%	0.2x
2023-06	4.9x	₹7220 cr	15.0%	0.2x
2023-05	9.0x	₹6222 cr	7.0%	0.3x
2023-04	8.0x	₹6222 cr	7.0%	0.3x
2023-03	8.1x	₹6222 cr	7.0%	0.3x
2023-02	8.4x	₹6222 cr	7.0%	0.3x
2023-01	8.5x	₹6222 cr	7.0%	0.3x
2022-12	9.1x	₹6222 cr	7.0%	0.3x
2022-11	8.6x	₹6222 cr	7.0%	0.3x
2022-10	5.8x	₹6222 cr	7.0%	0.3x
2022-09	4.7x	₹6222 cr	7.0%	0.3x
2022-08	4.5x	₹6222 cr	7.0%	0.3x
2022-07	4.2x	₹6222 cr	7.0%	0.3x
2022-06	3.9x	₹6222 cr	7.0%	0.3x
2022-05	4.2x	₹6232 cr	8.0%	0.3x
2022-04	3.9x	₹6232 cr	8.0%	0.3x
2022-03	3.5x	₹6232 cr	8.0%	0.3x
2022-02	3.8x	₹6232 cr	8.0%	0.3x
2022-01	4.0x	₹6232 cr	8.0%	0.3x
2021-12	3.9x	₹6232 cr	8.0%	0.3x
2021-11	4.0x	₹6232 cr	8.0%	0.3x
2021-10	4.3x	₹6232 cr	8.0%	0.3x
2021-09	4.3x	₹6232 cr	8.0%	0.3x
2021-08	3.9x	₹6232 cr	8.0%	0.3x
2021-07	3.8x	₹6232 cr	8.0%	0.3x
2021-06	3.9x	₹6232 cr	8.0%	0.3x
2021-05	4.5x	₹6475 cr	7.0%	0.7x
2021-04	4.3x	₹6475 cr	7.0%	0.7x
2021-03	4.3x	₹6475 cr	7.0%	0.7x
2021-02	4.7x	₹6475 cr	7.0%	0.7x
2021-01	4.2x	₹6475 cr	7.0%	0.7x
2020-12	4.0x	₹6475 cr	7.0%	0.7x
2020-11	3.3x	₹6475 cr	7.0%	0.7x
2020-10	3.0x	₹6475 cr	7.0%	0.7x
2020-09	2.8x	₹6475 cr	7.0%	0.7x
2020-08	3.2x	₹6475 cr	7.0%	0.7x
2020-07	2.9x	₹6475 cr	7.0%	0.7x
2020-06	2.9x	₹6475 cr	7.0%	0.7x

Methodology and data notes