अApnaFunda

GAJANAND INTERNATIONAL LIMITED (GAJANAND)

Miscellaneous · figures to Nov '26

Share price

Closing priceAdjusted for splits and bonus issues.

₹7.3 latest close · −2.0% over the last 90 sessions

₹7₹8₹9Mar 18Apr 28Jun 8Aug 4Sep 16Nov 6 ₹7₹8₹9Mar 18Jul 2Nov 6

₹7.3 month-end · −33.3% over 12 months

₹6₹8₹10Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹6₹8₹10Nov '25May '26Nov '26

₹7.3 month-end · −74.7% since Sep '24

₹10₹20₹30Sep '24Feb '25Jul '25Jan '26Jun '26Nov '26 ₹10₹20₹30Sep '24Oct '25Nov '26

52-week range ₹6.25 to ₹16.85 · 1-year volatility 73.2%

Was the rally earned?

-33%share price, 1 yearEarnings-driven

Mostly earnings.

  • Per-share earnings took off 185 points, while the multiple moved less (P/E 57.6x to 365.0x).
  • The share count barely moved.
Net profit growth: −185 pts. Points of the price return explained by net profit growing (or shrinking).−185 ptsNet profit growthP/E change: +152 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+152 ptsP/E changeShare price: −33%−33%Share priceNet profit growth: −185 pts. Points of the price return explained by net profit growing (or shrinking).−185ProfitP/E change: +152 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+152P/EShare price: −33%−33%Share price
Net profit growth-185 ptsNet profit fell about 89%, which lowers the price.
P/E change+152 ptsThe P/E rose from 57.6x to 365.0x, which lifts the price.
Share count change0 ptsShare count was little changed. More shares would count against 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 with other companies

How rough has the ride been?

Maximum drawdown-84.1%not yet recovered
1-year volatility73.2%annualised

Drawdown from peak

0%−25%−50%−75%20252026−82.2% 0%−25%−50%−75%20252026−82.2%
Largest drawdowns

-84.1% (2024-09 peak to 2026-03 low, not yet recovered)

Is it expensive against its own past and its peers?

365.0xP/E todayNear its historic high
Against its own history89th percentile
CheapestMedian 51.6xDearest

Usual range 7.7x to 381.0x since 2024-09.

7.2x162.3x317.4x472.5xSep '24Mar '25Sep '25Mar '26Sep '26Nov '267.2x162.3x317.4x472.5xSep '24Jun '25Mar '26Nov '26
P/E (this company)10th to 90th percentile of its own historyIts median

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

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

Shaded band: 10th to 90th percentile of the company's own P/E history; dotted line: its median.

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 Miscellaneous is valued

What is the price implying?

~54%annual earnings growth implied by the price

At a P/E of 365.0x, the price would imply about 54.1%/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.

The market-wide Expectations lists

Key figures

Share Priceclose 6 Nov
₹7.30
P/E
365.0x
ROCE
1.8%
Market Cap
₹14 cr
Revenue (TTM)
₹75 cr
P/S
0.2x
P/B
0.4x
ROE
0.1%
Debt / Equity
0.3x
Promoter Holding
62.9%
12M Momentum
-33.3%

52-week range

₹6.25₹16.85
10% of the way from its 52-week low to its high

Price risk

1Y volatility
73.2%

Balance sheet & cash

Interest cover
operating profit ÷ interest
1.1x
Cash from profit, 3Y
operating cash flow ÷ net profit
-2.00x
low
Share count, 1Y
unchanged

Are profits backed by cash?

3 of 6checks within range2 beyond a threshold
Other income reliance100%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 100.0%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion-9.34xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: -9.34x (cash from operations ₹-24.7 cr, net profit ₹2.6 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow2 of 5 yrsNear threshold

Fiscal years with positive free cash flow in the last 5: 2. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history-2 daysWithin range

Debtor days are below the median of the previous three fiscal years by 2 days (35 vs 37). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress0% of fixed assetsWithin range

Capital work-in-progress is 0% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days-26 days / 2 yrsWithin range

Days payable changed by -26 over two years. Bands: rise of up to 30 days; more than 30 days.

Tap a check to see how it is measured

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 →

What happened next to similar setups

−8.6%typical 12-month return vs the marketNot meaningfully different from the base rate
  • We found 50 past situations where a non-financial company looked like GAJANAND INTERNATIONAL LIMITED today on valuation, return on capital, debt, growth, price momentum and size.
  • Over the following 12 months the middle half of them returned −26% to +35% vs the market, against −7% for all non-financial companies in the same months.
  • The gap against the base rate (−1.6%, 80% range −5.9% to +3.1%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PRECISION · Jul 2025: −73.8% vs market
LAXMICOT · Aug 2025: −51.3% vs market
KANANIIND · Feb 2025: −45.6% vs market
LOYALTEX · Oct 2023: −41.2% vs market
ACLGATI · Jun 2024: −41.0% vs market
ACCURACY · Jul 2024: −33.3% vs market
ZENITHSTL · Jun 2025: −32.6% vs market
3IINFOLTD · May 2024: −32.2% vs market
GREENCHEF · Dec 2024: −31.6% vs market
NGIL · Jan 2024: −31.4% vs market
DAMODARIND · Mar 2024: −29.6% vs market
VINEETLAB · Sep 2024: −27.0% vs market
TEXMOPIPES · Nov 2024: −26.4% vs market
AKG · Oct 2025: −26.2% vs market
VIRINCHI · Jun 2025: −24.7% vs market
JOCIL · Jul 2024: −20.5% vs market
ALKALI · Aug 2024: −19.7% vs market
TOTAL · Oct 2024: −18.4% vs market
AKASH · Jun 2024: −17.0% vs market
ORIENTLTD · Jan 2020: −16.9% vs market
TNPL · Jun 2025: −12.4% vs market
INCREDIBLE · Mar 2021: −11.4% vs market
UCAL · Oct 2023: −10.4% vs market
UMA · Dec 2023: −10.2% vs market
PARASPETRO · Oct 2025: −9.0% vs market
AXITA · Jun 2025: −8.1% vs market
ORIENTBELL · Jan 2025: −6.0% vs market
GENUSPAPER · Jun 2024: −6.0% vs market
VIKASECO · Jan 2023: −4.1% vs market
ROML · Oct 2024: −0.6% vs market
SAGARDEEP · Jan 2024: +0.8% vs market
UNIINFO · Oct 2023: +2.4% vs market
GOKUL · Jun 2024: +12.6% vs market
LPDC · May 2020: +17.5% vs market
NAHARPOLY · Aug 2024: +20.3% vs market
AJOONI · Oct 2023: +25.6% vs market
KOTHARIPRO · Jul 2023: +28.6% vs market
KCPSUGIND · Aug 2022: +36.8% vs market
HTMEDIA · May 2020: +39.8% vs market
SAMBHAAV · Mar 2023: +40.1% vs market
MAHICKRA · Jul 2024: +42.9% vs market
NAGREEKEXP · Jan 2023: +56.0% vs market
GRPLTD · Jul 2021: +70.8% vs market
TARIL · Sep 2020: +81.3% vs market
NDL · Jul 2023: +85.9% vs market
KANPRPLA · Jun 2024: +91.9% vs market
PENIND · Oct 2021: +109.2% vs market
ISFT · Dec 2020: +134.6% vs market
SILVERTUC · Jul 2021: +153.2% vs market
VIVIDHA · Jan 2020: +267.5% vs market
Similar setups −8.6%All companies −7.0%← worse than the marketbetter than the market →

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 · 4 beyond the range shown, drawn at the edge

Similar setups' median
−8.6%
All companies' median
−7.0%
Beat the market
40% vs 42%

50 past situations · 50 companies · 29 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
KANANIIND
Consumer Durables
Feb 2025 235x2% −48%−52% −46%
PARASPETRO
Process Industries
Oct 2025 216x5% −38%−41% −9%
VINEETLAB
Process Industries
Sep 2024 703x7% +15%−29% −27%
ACCURACY
Transportation
Jul 2024 397x5% +15%−34% −33%
PRECISION
Non-Energy Minerals
Jul 2025 79x4% −46%−60% −74%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
SAGARDEEP
Non-Energy Minerals
Jan 2024 94x6% +10%−19% +1%
VIVIDHA
Process Industries
Jan 2020 40x4% −43%−47% +268%
TOTAL
Transportation
Oct 2024 814x7% −33%−41% −18%
How reliable is this?

Matched on P/E, P/S, ROCE, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high and size. Closest on: interest cover, 12-month momentum and ROCE. Not used (unavailable for this company): operating margin and volatility. One match per company and at most 7 from any one month.

Independent periods: the matches fall in 6 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 GAJANAND INTERNATIONAL LIMITED. 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

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 changed?

5 events since Sep '25

  1. SepValuationP/E crossed above the 90th percentile of its own history to date (365.0x).
  2. AprDebtDebt / equity halved over 12 months to 0.22x.
  3. MarPriceFell 84% from the Sep 2024 peak to the Mar 2026 low.
  4. SepDebtDebt / equity halved over 12 months to 0.22x.
  5. SepSharesShare count is up 43.8% over 12 months.

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 history27 months · 2024-09 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-11365.0x₹75 cr0.1%1.8%0.3x
2026-10362.5x₹75 cr0.1%1.8%0.3x
2026-09365.0x₹75 cr0.1%1.8%0.3x
2026-08472.5x₹75 cr0.1%1.8%0.3x
2026-07407.5x₹75 cr0.1%1.8%0.3x
2026-06405.0x₹75 cr0.1%1.8%0.3x
2026-0547.4x₹95 cr1.0%4.2%0.2x
2026-0446.8x₹95 cr1.0%4.2%0.2x
2026-0333.9x₹95 cr1.0%4.2%0.2x
2026-0245.5x₹95 cr1.0%4.2%0.2x
2026-0153.2x₹95 cr1.0%4.2%0.2x
2025-1251.6x₹95 cr1.0%4.2%0.2x
2025-1157.6x₹95 cr1.0%4.2%0.2x
2025-1060.5x₹95 cr1.0%4.2%0.2x
2025-0962.4x₹95 cr1.0%4.2%0.2x
2025-0863.7x₹95 cr1.0%4.2%0.2x
2025-0767.9x₹95 cr1.0%4.2%0.2x
2025-0673.9x₹95 cr1.0%4.2%0.2x
2025-057.9x₹109 cr12.7%17.2%0.7x
2025-047.5x₹109 cr12.7%17.2%0.7x
2025-037.5x₹109 cr12.7%17.2%0.7x
2025-027.2x₹109 cr12.7%17.2%0.7x
2025-019.9x₹109 cr12.7%17.2%0.7x
2024-1211.0x₹109 cr12.7%17.2%0.7x
2024-1112.7x₹109 cr12.7%17.2%0.7x
2024-1011.0x₹109 cr12.7%17.2%0.7x
2024-0916.9x₹109 cr12.7%17.2%0.7x

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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