अApnaFunda

CEINFO SYSTEMS LTD MAPMYINDIA (MAPMYINDIA)

Technology Services · Packaged Software · figures to Nov '26

Quality scoreHow the business itself ranks against its sector peers on profitability, 3-year growth and leverage. 50 is the middle of the sector.78 / 100
Profitability 80Growth 55Balance sheet 100
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.18 / 100
Price 28Earnings 16FII/DII 10

Passes these screensDebt-light & profitable

Share price

Closing priceAdjusted for splits and bonus issues.

₹849.6 latest close · −9.5% over the last 90 sessions

₹800₹1,000₹1,200Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹800₹1,000₹1,200Jul 3Sep 4Nov 9

₹849.6 month-end · −49.3% over 12 months

₹1,000₹1,500Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹1,000₹1,500Nov '25May '26Nov '26

₹849.6 month-end · −61.8% over 3 years

₹1,000₹1,500₹2,000₹2,500Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹1,000₹1,500₹2,000₹2,500Nov '23May '25Nov '26

₹849.6 month-end · −49.3% since Dec '21

₹1,000₹1,500₹2,000₹2,500Dec '21Dec '22Dec '23Nov '24Nov '25Nov '26 ₹1,000₹1,500₹2,000₹2,500Dec '21Jun '24Nov '26

52-week range ₹790.05 to ₹1839.00 · 1-year volatility 45.4%

Was the rally earned?

-49%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 57.9x to 33.8x); per-share earnings took off 10 points.
  • The share count barely moved.
Net profit growth: −9 pts. Points of the price return explained by net profit growing (or shrinking).−9 ptsNet profit growthP/E change: −39 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−39 ptsP/E changeShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1 ptsShare count changeShare price: −49%−49%Share priceNet profit growth: −9 pts. Points of the price return explained by net profit growing (or shrinking).−9ProfitP/E change: −39 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−39P/EShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1SharesShare price: −49%−49%Share price
Net profit growth-9 ptsNet profit fell about 12%, which lowers the price.
P/E change-39 ptsThe P/E fell from 57.9x to 33.8x, which lowers the price.
Share count change-1 ptsShare count was little changed. More shares would count against the price.
-62%share price, 3 yearsLower P/E held it back

Earnings helped, the multiple did not.

  • Per-share earnings added 15 points, but investors now pay less per rupee of profit (P/E 111.3x to 33.8x), which took 77 points back.
  • The share count barely moved.
Net profit growth: +16 pts. Points of the price return explained by net profit growing (or shrinking).+16 ptsNet profit growthP/E change: −77 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−77 ptsP/E changeShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1 ptsShare count changeShare price: −62%−62%Share priceNet profit growth: +16 pts. Points of the price return explained by net profit growing (or shrinking).+16ProfitP/E change: −77 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−77P/EShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1SharesShare price: −62%−62%Share price
Net profit growth+16 ptsNet profit rose about 28%, which lifts the price.
P/E change-77 ptsThe P/E fell from 111.3x to 33.8x, which lowers the price.
Share count change-1 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 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 ONE 97 COMMUNICATIONS PAYTM

How rough has the ride been?

Maximum drawdown-68.6%not yet recovered
1-year volatility45.4%annualised
Beta vs sector index0.483-year daily, correlation 0.23
Volume spikes6last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%2023202420252026−68.6% 0%−20%−40%−60%20242026−68.6%
Largest drawdowns

-68.6% (2024-06 peak to 2026-10 low, not yet recovered)

-46.5% (2022-01 peak to 2023-03 low, recovered 2023-09)

-28.7% (2023-11 peak to 2024-03 low, recovered 2024-06)

Most recent volume spikes

2026-11-04: 9.1x the 50-day median, price +5.4% that day

2026-09-22: 8.9x the 50-day median, price +2.4% that day

2026-07-23: 6.1x the 50-day median, price +3.6% that day

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?

33.8xP/E todayNear its historic low
Against its own history7th percentile
CheapestMedian 67.2xDearest

Usual range 37.6x to 96.1x since 2021-12.

Against Technology Services33.8x vs 21.1x
This company
33.8x
Sector median
21.1x

60% above the Technology Services median.

19.6x50.1x80.7x111.3xDec '21Dec '22Dec '23Dec '24Dec '25Nov '2619.6x50.1x80.7x111.3xDec '21Aug '23Apr '25Nov '26
P/E (this company)10th to 90th percentile of its own historyIts medianTechnology Services median

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

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

Shaded band: 10th to 90th percentile of the company's own P/E 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 Technology Services is valued

Where does it rank among Technology Services peers?

Each cell is the company's percentile rank among its Technology Services peers (non-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

  • ROCE61st▼ 11 pts vs a year ago
  • Op. margin99thflat vs a year ago
  • Revenue growth25th▼ 49 pts vs a year ago
  • EPS growth23rd▼ 30 pts vs a year ago
  • Debt/equity ↓84th▲ 18 pts vs a year ago
  • Cash cycle ↓98thflat vs a year ago
  • P/E ↓32nd▲ 12 pts vs a year ago
  • 12M momentum12th▼ 60 pts vs a year ago

Rank history

ROCE
Op. margin
Revenue growth
EPS growth
Debt/equity ↓
Cash cycle ↓
P/E ↓
12M momentum
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 Technology Services sector page Watch it move against Technology Services in the Observatory

What is the price implying?

~21%annual earnings growth implied by the price

At a P/E of 33.8x, the price would imply about 20.7%/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 Technology Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹849.60
P/E
33.8x
ROCE
19.0%
Market Cap
₹4655 cr
Revenue (TTM)
₹493 cr
P/S
9.4x
P/B
5.1x
ROE
15.2%
Operating Margin
40.0%
Debt / Equity
0.0x
Promoter Holding
51.4%
12M Momentum
-49.3%

52-week range

₹790.05₹1839.00
6% of the way from its 52-week low to its high

Price risk

1Y volatility
45.4%
Beta vs sector
1-year daily
0.57

Balance sheet & cash

Debt service
no meaningful debt
Cash from profit, 3Y
operating cash flow ÷ net profit
0.69x
Share count, 1Y
unchanged

Are profits backed by cash?

3 of 7checks within range4 near a threshold
Other income reliance30%Near threshold

Other income as a share of pre-tax profit (trailing twelve months): 30.4%. Bands: below 15%, 15% to 35%, above 35%.

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%.

Cash conversion0.69xNear threshold

Operating cash flow divided by net profit over the last three fiscal years: 0.69x (cash from operations ₹286 cr, net profit ₹416 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow5 of 5 yrsWithin range

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

Receivable days vs history+35 daysNear threshold

Debtor days are above the median of the previous three fiscal years by 35 days (136 vs 101). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress8% of fixed assetsWithin range

Capital work-in-progress is 8% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days+234 days / 2 yrsNear threshold

Days payable changed by +234 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 →

Who has been buying and selling?

  • Over 3 years, DIIs added 7.0 pts; FIIs trimmed 4.2 pts; promoters trimmed 1.5 pts.
  • The number of shareholders rose from 1.4 lakh to 1.5 lakh (+11%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters52.9%51.4%-1.5 pts
FIIs5.7%1.5%-4.2 pts
DIIs5.8%12.7%+7.0 pts
Public and others35.5%34.3%-1.2 pts

Number of shareholders

1.5 lakhshareholders+11% since Sep '23
1.4L1.5L1.6L1.7L Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 1.4 lakh
Dec '23: 1.6 lakh
Mar '24: 1.6 lakh
Jun '24: 1.6 lakh
Sep '24: 1.6 lakh
Dec '24: 1.7 lakh
Mar '25: 1.6 lakh
Jun '25: 1.5 lakh
Sep '25: 1.5 lakh
Dec '25: 1.5 lakh
Mar '26: 1.4 lakh
Jun '26: 1.5 lakh
1.4L1.5L1.6L1.7L Sep '23Sep '24Sep '25Jun '26
Sep '23: 1.4 lakh
Dec '23: 1.6 lakh
Mar '24: 1.6 lakh
Jun '24: 1.6 lakh
Sep '24: 1.6 lakh
Dec '24: 1.7 lakh
Mar '25: 1.6 lakh
Jun '25: 1.5 lakh
Sep '25: 1.5 lakh
Dec '25: 1.5 lakh
Mar '26: 1.4 lakh
Jun '26: 1.5 lakh

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

+5.0%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 CEINFO SYSTEMS LTD MAPMYINDIA today on valuation, return on capital, margins, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −15% to +17% vs the market, against −1% for all non-financial companies in the same months.
  • The gap against the base rate (+5.9%, 80% range −1.1% to +9.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
NURECA · Jun 2022: −69.1% vs market
NDTV · Dec 2023: −47.7% vs market
DENORA · Jul 2024: −44.1% vs market
TARSONS · Jul 2023: −41.6% vs market
LAOPALA · Oct 2025: −33.4% vs market
MATRIMONY · Jan 2022: −30.7% vs market
GLAND · Aug 2023: −28.3% vs market
DIVGIITTS · May 2024: −25.7% vs market
JUSTDIAL · Oct 2021: −24.0% vs market
MIDHANI · Feb 2021: −22.1% vs market
CHEMCON · Jun 2022: −20.3% vs market
TECHNOE · Dec 2020: −17.2% vs market
ASTRAZEN · Jul 2021: −15.5% vs market
WONDERLA · Aug 2020: −14.9% vs market
AETHER · Jan 2024: −13.2% vs market
RITES · Feb 2025: −11.4% vs market
WENDT · Jun 2025: −10.7% vs market
SYMPHONY · Jul 2021: −7.3% vs market
SANOFI · Jul 2024: −6.4% vs market
QUICKHEAL · Feb 2020: −1.6% vs market
THYROCARE · Sep 2023: −1.5% vs market
ROUTE · Sep 2022: +0.3% vs market
DELTACORP · Aug 2020: +3.1% vs market
CARERATING · Jun 2020: +3.2% vs market
SUNTECK · May 2020: +4.5% vs market
ITDC · Oct 2020: +5.6% vs market
THEJO · Jun 2025: +6.2% vs market
SUPRIYA · Jun 2023: +6.7% vs market
GREAVESCOT · Aug 2020: +7.0% vs market
AIAENG · May 2021: +9.4% vs market
SUMICHEM · Oct 2023: +10.2% vs market
ADVENZYMES · Aug 2022: +11.4% vs market
MCX · Feb 2022: +11.7% vs market
CONCOR · Dec 2020: +14.0% vs market
LATENTVIEW · Nov 2022: +14.9% vs market
SAREGAMA · May 2023: +15.0% vs market
ICRA · May 2021: +15.1% vs market
INTELLECT · Sep 2022: +17.6% vs market
INDIAMART · Jul 2022: +27.6% vs market
ECLERX · Jan 2020: +31.3% vs market
LMW · Jan 2020: +36.4% vs market
TRITURBINE · Sep 2020: +42.0% vs market
NEWGEN · Jun 2022: +58.1% vs market
KIOCL · Oct 2022: +73.6% vs market
DATAPATTNS · Feb 2025: +89.1% vs market
BDL · Jun 2021: +90.2% vs market
RATEGAIN · Jul 2025: +98.8% vs market
SONACOMS · Sep 2025: +100.5% vs market
HINDCOPPER · Apr 2025: +135.1% vs market
BSE · May 2023: +236.3% vs market
Similar setups +5.0%All companies −0.9%← 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 · 3 beyond the range shown, drawn at the edge

Similar setups' median
+5.0%
All companies' median
−0.9%
Beat the market
58% vs 49%

50 past situations · 50 companies · 37 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
INDIAMART
Retail Trade
Jul 2022 44x22% −41%−55% +28%
WENDT
Producer Manufacturing
Jun 2025 47x20% −41%−47% −11%
DELTACORP
Consumer Services
Aug 2020 16x14% −37%−50% +3%
CARERATING
Commercial Services
Jun 2020 15x19% −56%−56% +3%
NDTV
Consumer Services
Dec 2023 48x19% −24%−24% −48%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
DATAPATTNS
Electronic Technology
Feb 2025 44x20% −42%−58% +89%
GREAVESCOT
Producer Manufacturing
Aug 2020 14x18% −34%−46% +7%
DIVGIITTS
Producer Manufacturing
May 2024 43x15% −15%−37% −26%
How reliable is this?

Matched on P/E, P/S, ROCE, operating margin, debt/equity, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: 12-month momentum, size and ROCE. Not used (unavailable for this company): interest cover. 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 CEINFO SYSTEMS LTD MAPMYINDIA. 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 else looks like this?

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

CONCORD BIOTECHCONCORDBIO
Health Technology
65%similar
debt/equityoperating margin
Consumer Services
63%similar
volatilityoperating margin
Producer Manufacturing
61%similar
EPS growthdebt/equity
Health Technology
60%similar
volatilityP/E
Commercial Services
60%similar
volatilityEPS growth
EMUDHRAEMUDHRA
Technology Services
63%similar
promoter holdingrevenue
Technology Services
51%similar
volatilitydebt/equity
Technology Services
50%similar
promoter holdingrevenue growth

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

What changed?

30 events since Mar '23

  1. NovPriceVolume reached 9.1x its 50-day median on 2026-11-04; price +5.4% that day.
  2. OctPriceFell 69% from the Jun 2024 peak to the Oct 2026 low.
  3. SepInstitutionsFII + DII holding fell 3.6 pts over 2 quarters to 14.3%.
  4. SepPeer rankSlipped to the bottom quartile of Technology Services on EPS growth (from the 3rd quartile).
  5. JulPriceVolume reached 31.5x its 50-day median on 2026-07-09; price +14.8% that day.
  6. MayPriceVolume reached 58.3x its 50-day median on 2026-05-11; price +12.6% that day.
  7. MarResultsYear-on-year EPS growth turned negative.
  8. MarPeer rankSlipped to the 3rd quartile of Technology Services on EPS growth (from the 2nd quartile).
Show 22 earlier events
  1. FebPriceVolume reached 25.7x its 50-day median on 2026-02-18; price +0.7% that day.
  2. JanValuationP/E fell below the 10th percentile of its own history to date (49.4x).
  3. OctPriceVolume reached 87.7x its 50-day median on 2025-10-13; price +5.0% that day.
  4. SepInstitutionsFII + DII holding rose 5.6 pts over 2 quarters to 17.4%.
  5. AugValuationP/E fell below the 10th percentile of its own history to date (60.7x).
  6. JunPriceVolume reached 34.1x its 50-day median on 2025-06-12; price -9.4% that day.
  7. DecPriceVolume reached 25.2x its 50-day median on 2024-12-09; price +16.1% that day.
  8. JulPriceVolume reached 17.3x its 50-day median on 2024-07-15; price +3.5% that day.
  9. JunResultsRevenue (TTM) reached a new high of ₹379 cr.
  10. JunPriceRegained the 2023-11 peak, 3 months after the low.
  11. JunPriceVolume reached 93.5x its 50-day median on 2024-06-21; price +5.1% that day.
  12. AprValuationP/E crossed above the 90th percentile of its own history to date (100.5x).
  13. MarPriceFell 29% from the Nov 2023 peak to the Mar 2024 low.
  14. MarPriceVolume reached 6.7x its 50-day median on 2024-03-27; price -1.3% that day.
  15. DecValuationP/E crossed above the 90th percentile of its own history to date (97.3x).
  16. OctPriceVolume reached 15.0x its 50-day median on 2023-10-04; price +4.3% that day.
  17. SepPriceRegained the 2022-01 peak, 6 months after the low.
  18. SepPriceVolume reached 16.4x its 50-day median on 2023-09-28; price +7.4% that day.
  19. JunResultsYear-on-year EPS growth turned positive.
  20. JunPeer rankMoved into the 2nd quartile of Technology Services on EPS growth (from the bottom quartile).
  21. AprPriceVolume reached 15.3x its 50-day median on 2023-04-27; price +6.3% that day.
  22. MarPriceFell 46% from the Jan 2022 peak to the Mar 2023 low.

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 history60 months · 2021-12 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1133.8x₹493 cr15.2%19.0%0.0x
2026-1031.6x₹493 cr15.4%19.0%0.0x
2026-0934.1x₹493 cr15.4%19.0%0.0x
2026-0841.3x₹475 cr14.9%19.0%0.0x
2026-0748.1x₹475 cr14.9%19.0%0.0x
2026-0633.0x₹475 cr14.9%19.0%0.0x
2026-0533.9x₹474 cr16.4%24.0%0.0x
2026-0438.0x₹474 cr16.4%24.0%0.0x
2026-0333.1x₹474 cr16.4%24.0%0.0x
2026-0238.7x₹495 cr18.0%24.0%0.0x
2026-0149.4x₹495 cr18.0%24.0%0.0x
2025-1264.6x₹495 cr18.0%24.0%0.0x
2025-1157.9x₹485 cr19.4%24.0%0.0x
2025-1062.9x₹485 cr19.4%24.0%0.0x
2025-0957.0x₹485 cr19.4%24.0%0.0x
2025-0860.7x₹464 cr18.1%24.0%0.0x
2025-0766.5x₹464 cr18.1%24.0%0.0x
2025-0665.0x₹464 cr18.1%24.0%0.0x
2025-0576.9x₹427 cr20.6%26.0%0.0x
2025-0471.3x₹427 cr20.6%26.0%0.0x
2025-0367.1x₹427 cr20.6%26.0%0.0x
2025-0266.8x₹404 cr20.5%26.0%0.0x
2025-0168.3x₹404 cr20.5%26.0%0.0x
2024-1263.8x₹404 cr20.5%26.0%0.0x
2024-1168.9x₹391 cr20.9%26.0%0.0x
2024-1076.8x₹391 cr20.9%26.0%0.0x
2024-0985.3x₹391 cr20.9%26.0%0.0x
2024-0884.3x₹379 cr20.3%26.0%0.0x
2024-0795.9x₹379 cr20.3%26.0%0.0x
2024-0692.7x₹379 cr20.3%26.0%0.0x
2024-0595.9x₹281 cr19.9%25.0%0.1x
2024-04100.5x₹281 cr19.9%25.0%0.1x
2024-0393.2x₹281 cr19.9%25.0%0.1x
2024-0290.4x₹281 cr19.9%25.0%0.1x
2024-0198.2x₹281 cr19.9%25.0%0.1x
2023-1297.3x₹281 cr19.9%25.0%0.1x
2023-11111.3x₹281 cr19.9%25.0%0.1x
2023-10104.2x₹281 cr19.9%25.0%0.1x
2023-0999.8x₹281 cr19.9%25.0%0.1x
2023-0887.5x₹281 cr19.9%25.0%0.1x
2023-0775.0x₹281 cr19.9%25.0%0.1x
2023-0660.3x₹281 cr19.9%25.0%0.1x
2023-0566.3x₹200 cr19.5%21.0%0.0x
2023-0467.2x₹200 cr19.5%21.0%0.0x
2023-0360.7x₹200 cr19.5%21.0%0.0x
2023-0270.2x₹200 cr19.5%21.0%0.0x
2023-0169.5x₹200 cr19.5%21.0%0.0x
2022-1263.7x₹200 cr19.5%21.0%0.0x
2022-1174.0x₹200 cr19.5%21.0%0.0x
2022-1080.1x₹200 cr19.5%21.0%0.0x
2022-0985.6x₹200 cr19.5%21.0%0.0x
2022-0883.0x₹200 cr19.5%21.0%0.0x
2022-0780.6x₹200 cr19.5%21.0%0.0x
2022-0686.4x₹200 cr19.5%21.0%0.0x
2022-0556.9x₹152 cr26.2%19.0%0.7x
2022-0463.7x₹152 cr26.2%19.0%0.7x
2022-0364.6x₹152 cr26.2%19.0%0.7x
2022-0259.8x₹152 cr26.2%19.0%0.7x
2022-0158.2x₹152 cr26.2%19.0%0.7x
2021-1271.7x₹152 cr26.2%19.0%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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