अApnaFunda

MUFIN GREEN FINANCE LIMITED (MUFIN)

Finance · Finance/Rental/Leasing · figures to Nov '26

Momentum scoreHow strong the recent trend is: 3-month price change, 12-month improvement in earnings and the rise in FII + DII holding, among companies above ₹500 cr.79 / 100
Price 72Earnings 86

Passes these screensHigh MomentumNear 52-week high

Share price

Closing priceAdjusted for splits and bonus issues.

₹141.82 latest close · +5.0% over the last 90 sessions

₹130₹140Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹130₹140Jul 3Sep 4Nov 9

₹141.82 month-end · +27.7% over 12 months

₹100₹120₹140Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹100₹120₹140Nov '25May '26Nov '26

₹141.82 month-end · +19.0% since Jun '24

₹75₹100₹125Jun '24Dec '24Jun '25Nov '25May '26Nov '26 ₹75₹100₹125Jun '24Sep '25Nov '26

52-week range ₹95.00 to ₹145.00 · 1-year volatility 31.6%

Was the rally earned?

+28%share price, 1 yearLower P/E held it back

Mostly yes, with a catch.

  • Per-share earnings added 65 points, but investors now pay less per rupee of profit (P/E 98.3x to 70.9x), which took 37 points back.
  • The share count rose 19%.
Net profit growth: +85 pts. Points of the price return explained by net profit growing (or shrinking).+85 ptsNet profit growthP/E change: −37 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−37 ptsP/E changeShare count change: −20 pts. Points of the price return explained by the share count changing. More shares count against the price.−20 ptsShare count changeShare price: +28%+28%Share priceNet profit growth: +85 pts. Points of the price return explained by net profit growing (or shrinking).+85ProfitP/E change: −37 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−37P/EShare count change: −20 pts. Points of the price return explained by the share count changing. More shares count against the price.−20SharesShare price: +28%+28%Share price
Net profit growth+85 ptsNet profit rose about 111%, which lifts the price.
P/E change-37 ptsThe P/E fell from 98.3x to 70.9x, which lowers the price.
Share count change-20 ptsShare count rose 19%, 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.

Not shown for 3 years and 5 years: earnings were negative at one end, or there is not enough history.

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

Compare this with BAJAJ FINANCE

How rough has the ride been?

Maximum drawdown-76.0%not yet recovered
1-year volatility31.6%annualised
Beta vs sector index0.933-year daily, correlation 0.36
Volume spikes0last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−25%−50%−75%202420252026−75.0% 0%−25%−50%−75%20252026−75.0%
Largest drawdowns

-76.0% (2024-02 peak to 2025-04 low, not yet recovered)

-18.7% (2023-11 peak to 2023-12 low, recovered 2023-12)

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?

4.9xP/B todayWithin its usual range
Against its own history27th percentile
CheapestMedian 6.3xDearest

Usual range 4.5x to 7.9x since 2024-06.

Against Finance4.9x vs 1.5x
This company
4.9x
Sector median
1.5x

221% above the Finance median.

1.5x3.9x6.4x8.8xJun '24Dec '24Jun '25Dec '25Jun '26Nov '261.5x3.9x6.4x8.8xJun '24Apr '25Feb '26Nov '26
P/B (this company)10th to 90th percentile of its own historyIts medianFinance median

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

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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.)28thflat vs a year ago
  • EPS growth92nd▲ 49 pts vs a year ago
  • P/B ↓11th▲ 3 pts vs a year ago
  • 12M momentum88th▲ 55 pts vs a year ago
  • FII + DII33rdflat 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?

~31%annual earnings growth implied by the price

At a P/E of 70.9x, the price would imply about 30.8%/yr earnings growth for 10 years under the same assumptions, but it is not ranked.

Fewer than six years of annual earnings are available, which is too little to measure delivered growth.

“Implied growth” is what the current price would require under our stated assumptions, not what we expect.

What prices imply across Finance The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹141.82
P/E
70.9x
Market Cap
₹2807 cr
Revenue (TTM)
₹248 cr
P/S
11.3x
P/B
4.9x
ROE
7.0%
Debt / Equity
2.4x
Promoter Holding
47.3%
12M Momentum
27.7%

52-week range

₹95.00₹145.00
94% of the way from its 52-week low to its high

Price risk

1Y volatility
31.6%
Beta vs sector
1-year daily
0.97

Balance sheet & cash

Share count, 1Y
+25.0%

Are profits backed by cash?

1 of 1checks within rangeAll clear
Tax rate26%Within range

Median quarterly effective tax rate over about 2.5 years: 26.0%. 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, promoters trimmed 10.9 pts; DIIs trimmed 4.1 pts; FIIs added 2.3 pts.
  • The number of shareholders rose from 14,843 to 24,964 (+68%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters58.2%47.3%-10.9 pts
FIIs0.0%2.3%+2.3 pts
DIIs14.1%10.1%-4.1 pts
Public and others27.7%40.4%+12.7 pts

Number of shareholders

24,964shareholders+68% since Sep '23
15k19k23k27k Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 14,843
Dec '23: 18,850
Mar '24: 22,133
Jun '24: 25,009
Sep '24: 24,017
Dec '24: 25,503
Mar '25: 25,971
Jun '25: 26,485
Sep '25: 27,237
Dec '25: 27,358
Mar '26: 25,767
Jun '26: 24,964
15k19k23k27k Sep '23Sep '24Sep '25Jun '26
Sep '23: 14,843
Dec '23: 18,850
Mar '24: 22,133
Jun '24: 25,009
Sep '24: 24,017
Dec '24: 25,503
Mar '25: 25,971
Jun '25: 26,485
Sep '25: 27,237
Dec '25: 27,358
Mar '26: 25,767
Jun '26: 24,964

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

Not enough comparable history to show analogs for this company yet.

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

FeatureWeightNon-financialFinancial
P/E1yesyes
P/S1yes—
P/B1—yes
ROCE1yes—
operating margin1yes—
ROE1—yes
debt/equity0.75yes—
interest cover0.5yes—
revenue growth0.75yesyes
12-month momentum1yesyes
drawdown from 12-month high0.75yesyes
size0.75yesyes
volatility0.5yesyes

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.

Finance
60%similar
ROEP/B
Finance
59%similar
promoter holdingvolatility
Finance
55%similar
P/BROE

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

What changed?

22 events since Dec '23

  1. JunPromoterPromoter holding fell 6.8 pts to 47.3% (largest drop in the history since 2019-01).
  2. JunResultsYear-on-year EPS growth turned positive.
  3. JunValuationP/B fell below the 10th percentile of its own history to date (4.4x).
  4. JunPeer rankMoved into the top quartile of Finance on EPS growth (from the 3rd quartile).
  5. JunSharesShare count is up 25.0% over 12 months.
  6. AprPriceVolume reached 37.1x its 50-day median on 2026-04-22; price +0.5% that day.
  7. MarInstitutionsFII + DII holding fell 3.3 pts over 1 quarter to 9.5%.
  8. FebPriceVolume reached 6.7x its 50-day median on 2026-02-19; price -2.6% that day.
Show 14 earlier events
  1. DecResultsYear-on-year EPS growth turned negative.
  2. OctPriceVolume reached 68.4x its 50-day median on 2025-10-31; price +19.4% that day.
  3. SepPeer rankSlipped to the 3rd quartile of Finance on EPS growth (from the 2nd quartile).
  4. SepPriceVolume reached 10.4x its 50-day median on 2025-09-08; price +6.3% that day.
  5. JunPeer rankMoved into the 3rd quartile of Finance on ROE (from the bottom quartile).
  6. AprPriceFell 76% from the Feb 2024 peak to the Apr 2025 low.
  7. AprPriceVolume reached 15.1x its 50-day median on 2025-04-24; price +19.2% that day.
  8. FebPriceVolume reached 8.5x its 50-day median on 2025-02-28; price -4.1% that day.
  9. OctPriceVolume reached 85.2x its 50-day median on 2024-10-31; price -7.8% that day.
  10. AugPriceVolume reached 7.4x its 50-day median on 2024-08-08; price +5.5% that day.
  11. JunPromoterPromoter holding fell 3.4 pts to 54.8%.
  12. JunPriceVolume reached 6.9x its 50-day median on 2024-06-11; price +0.4% that day.
  13. MarPriceVolume reached 7.8x its 50-day median on 2024-03-15; price -5.0% that day.
  14. DecPriceVolume reached 10.6x its 50-day median on 2023-12-15; price +5.0% that day.

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 history30 months · 2024-06 to 2026-11
MonthP/ERevenue (TTM)ROEDebt / Equity
2026-1170.9x₹248 cr7.0%2.4x
2026-1066.4x₹248 cr7.0%2.4x
2026-0965.8x₹248 cr7.0%2.4x
2026-0891.6x₹220 cr7.0%2.4x
2026-0788.4x₹220 cr7.0%2.4x
2026-0689.8x₹220 cr7.0%2.4x
2026-05107.1x₹205 cr8.0%2.7x
2026-0499.4x₹205 cr8.0%2.7x
2026-0382.9x₹205 cr8.0%2.7x
2026-02103.5x₹201 cr8.0%2.7x
2026-01102.8x₹201 cr8.0%2.7x
2025-12104.2x₹201 cr8.0%2.7x
2025-1198.3x₹194 cr8.0%2.7x
2025-10104.2x₹194 cr8.0%2.7x
2025-0977.9x₹194 cr8.0%2.7x
2025-0871.4x₹182 cr8.0%2.7x
2025-0772.5x₹182 cr8.0%2.7x
2025-0663.8x₹182 cr8.0%2.7x
2025-0562.5x₹164 cr7.0%2.6x
2025-0460.4x₹164 cr7.0%2.6x
2025-0356.9x₹164 cr7.0%2.6x
2025-0268.2x₹142 cr7.0%2.6x
2025-0179.7x₹142 cr7.0%2.6x
2024-1290.5x₹142 cr7.0%2.6x
2024-11113.3x₹117 cr7.0%2.6x
2024-1099.7x₹117 cr7.0%2.6x
2024-09103.0x₹117 cr7.0%2.6x
2024-08128.8x₹98 cr7.0%2.6x
2024-07113.8x₹98 cr7.0%2.6x
2024-06120.4x₹98 cr7.0%2.6x

Methodology and data notes

Methodology

Methodology and data notes

All figures come from public exchange prices and screener.in financial statements. Quarterly and annual results are shown from 60 days after the period end, so a month never uses a result before it would plausibly have been published. Statements are the latest versions, which may include later restatements.

Sector medians, percentiles and indices use today's listed companies in the sector (survivorship bias). Prices are adjusted for splits and bonus issues; around a corporate action the fundamentals may lag the price by up to a month, and affected sections are hidden.

The return decomposition uses price = P/E × net profit ÷ share count. The reverse DCF uses a fixed 12% cost of equity, a 10-year horizon and a 15x terminal P/E, and is an illustration only. Events, flags and twins follow fixed rules and thresholds described next to each section.

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