अApnaFunda

CYBERTECH SYSTEMS AND SOFTWARE (CYBERTECH)

Technology Services · Information Technology Services · 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.64 / 100
Profitability 44Growth 47Balance sheet 100

Passes these screensValue PickDebt-light & profitableConsistent compounders

Share price

Closing priceAdjusted for splits and bonus issues.

₹124.79 latest close · −11.6% over the last 90 sessions

₹120₹130₹140Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹120₹130₹140Jul 3Sep 4Nov 9

₹124.79 month-end · −12.9% over 12 months

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

₹124.79 month-end · −20.7% over 3 years

₹100₹150₹200Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹100₹150₹200Nov '23May '25Nov '26

₹124.79 month-end · +266.8% since Jan '19

₹100₹200Jan '19Aug '20Mar '22Sep '23Apr '25Nov '26 ₹100₹200Jan '19Dec '22Nov '26

52-week range ₹92.63 to ₹179.26 · 1-year volatility 42.9%

Was the rally earned?

-13%share price, 1 yearEarnings-driven

Mostly earnings.

  • Per-share earnings took off 10 points, while the multiple moved less (P/E 12.5x to 12.1x).
  • The share count fell 2%.
Net profit growth: −12 pts. Points of the price return explained by net profit growing (or shrinking).−12 ptsNet profit growthP/E change: −3 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−3 ptsP/E changeShare count change: +2 pts. Points of the price return explained by the share count changing. More shares count against the price.+2 ptsShare count changeShare price: −13%−13%Share priceNet profit growth: −12 pts. Points of the price return explained by net profit growing (or shrinking).−12ProfitP/E change: −3 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−3P/EShare count change: +2 pts. Points of the price return explained by the share count changing. More shares count against the price.+2SharesShare price: −13%−13%Share price
Net profit growth-12 ptsNet profit fell about 12%, which lowers the price.
P/E change-3 ptsThe P/E fell from 12.5x to 12.1x, which lowers the price.
Share count change+2 ptsShare count fell 2%, which lifts the price.
-21%share price, 3 yearsLower P/E held it back

Earnings helped, the multiple did not.

  • Per-share earnings added 27 points, but investors now pay less per rupee of profit (P/E 20.6x to 12.1x), which took 47 points back.
  • The share count rose 6%.
Net profit growth: +32 pts. Points of the price return explained by net profit growing (or shrinking).+32 ptsNet profit growthP/E change: −47 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−47 ptsP/E changeShare count change: −5 pts. Points of the price return explained by the share count changing. More shares count against the price.−5 ptsShare count changeShare price: −21%−21%Share priceNet profit growth: +32 pts. Points of the price return explained by net profit growing (or shrinking).+32ProfitP/E change: −47 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−47P/EShare count change: −5 pts. Points of the price return explained by the share count changing. More shares count against the price.−5SharesShare price: −21%−21%Share price
Net profit growth+32 ptsNet profit rose about 42%, which lifts the price.
P/E change-47 ptsThe P/E fell from 20.6x to 12.1x, which lowers the price.
Share count change-5 ptsShare count rose 6%, which lowers the price.
-0%share price, 5 yearsRoughly flat
  • The share price was roughly flat over 5 years (-0%).
  • The share count rose 11%.
Net profit growth: +27 pts. Points of the price return explained by net profit growing (or shrinking).+27 ptsNet profit growthP/E change: −16 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−16 ptsP/E changeShare count change: −10 pts. Points of the price return explained by the share count changing. More shares count against the price.−10 ptsShare count changeShare price: 0%0%Share priceNet profit growth: +27 pts. Points of the price return explained by net profit growing (or shrinking).+27ProfitP/E change: −16 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−16P/EShare count change: −10 pts. Points of the price return explained by the share count changing. More shares count against the price.−10SharesShare price: 0%0%Share price
Net profit growth+27 ptsNet profit growth over the period.
P/E change-16 ptsThe P/E fell from 14.3x to 12.1x, which lowers the price.
Share count change-10 ptsShare count rose 11%, 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 TATA CONSULTANCY SERVICES

How rough has the ride been?

Maximum drawdown-63.3%recovered 2024-08
1-year volatility42.9%annualised

Drawdown from peak

0%−20%−40%−60%2020202120222023202420252026−61.8% 0%−20%−40%−60%2020202220242026−61.8%
Largest drawdowns

-63.3% (2022-01 peak to 2023-03 low, recovered 2024-08)

-62.1% (2024-09 peak to 2026-03 low, not yet recovered)

-59.2% (2019-09 peak to 2020-03 low, recovered 2020-09)

Is it expensive against its own past and its peers?

12.1xP/E todayWithin its usual range
Against its own history26th percentile
CheapestMedian 14.7xDearest

Usual range 9.9x to 24.2x since 2019-01.

Against Technology Services12.1x vs 21.1x
This company
12.1x
Sector median
21.1x

42% below the Technology Services median.

6.7x18.8x30.9x42.9xJan '19Aug '20Mar '22Oct '23May '25Nov '266.7x18.8x30.9x42.9xJan '19Sep '21May '24Nov '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

  • ROCE55th▼ 5 pts vs a year ago
  • Op. margin33rdflat vs a year ago
  • Revenue growth30th▼ 12 pts vs a year ago
  • EPS growth24th▼ 55 pts vs a year ago
  • Debt/equity ↓65th▼ 5 pts vs a year ago
  • Cash cycle ↓70th▼ 9 pts vs a year ago
  • P/E ↓81st▼ 11 pts vs a year ago
  • 12M momentum63rd▲ 22 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?

~10%annual earnings growth implied by the price

At a P/E of 14.5x, the price would imply about 9.6%/yr earnings growth for 10 years under the same assumptions, but it is not ranked.

Below the ₹1,000 cr market-cap floor used for the lists.

“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
₹124.79
P/E
12.1x
ROCE
17.0%
Market Cap
₹381 cr
Revenue (TTM)
₹247 cr
P/S
1.5x
P/B
1.8x
ROE
14.8%
Operating Margin
8.3%
Debt / Equity
0.0x
Promoter Holding
38.0%
12M Momentum
-12.9%

52-week range

₹92.63₹179.26
37% of the way from its 52-week low to its high

Price risk

1Y volatility
42.9%
Beta vs sector
1-year daily
0.67

Balance sheet & cash

Interest cover
operating profit ÷ interest
43.8x
Cash from profit, 3Y
operating cash flow ÷ net profit
0.99x
Share count, 1Y
unchanged

Are profits backed by cash?

4 of 6checks within range1 beyond a threshold
Other income reliance64%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 64.4%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate25%Within range

Median quarterly effective tax rate over about 2.5 years: 24.9%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion0.99xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 0.99x (cash from operations ₹87 cr, net profit ₹88 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+18 daysNear threshold

Debtor days are above the median of the previous three fiscal years by 18 days (53 vs 35). 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—Not enough data

Not enough reported data to compute this.

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, promoters added 2.0 pts.
  • The number of shareholders rose from 30,593 to 35,795 (+17%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters36.0%38.0%+2.0 pts
FIIs0.0%0.3%+0.3 pts
DIIs0.0%0.0%0.0 pts
Public and others64.0%61.6%-2.4 pts

Number of shareholders

35,795shareholders+17% since Sep '23
30k33k35k37k Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 30,593
Dec '23: 30,498
Mar '24: 30,439
Jun '24: 31,433
Sep '24: 35,479
Dec '24: 34,594
Mar '25: 34,381
Jun '25: 33,889
Sep '25: 33,465
Dec '25: 37,222
Mar '26: 36,101
Jun '26: 35,795
30k33k35k37k Sep '23Sep '24Sep '25Jun '26
Sep '23: 30,593
Dec '23: 30,498
Mar '24: 30,439
Jun '24: 31,433
Sep '24: 35,479
Dec '24: 34,594
Mar '25: 34,381
Jun '25: 33,889
Sep '25: 33,465
Dec '25: 37,222
Mar '26: 36,101
Jun '26: 35,795

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

+2.5%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 CYBERTECH SYSTEMS AND SOFTWARE 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 −23% to +44% vs the market, against +1% for all non-financial companies in the same months.
  • The gap against the base rate (+1.3%, 80% range −8.3% to +9.0%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
ALANKIT · Jan 2025: −54.7% vs market
BHAGERIA · Mar 2022: −44.6% vs market
TVTODAY · Jul 2022: −35.6% vs market
GANESHBE · Sep 2023: −35.2% vs market
ORBTEXP · Feb 2020: −35.1% vs market
ALBERTDAVD · Apr 2024: −32.1% vs market
INSECTICID · Aug 2025: −31.3% vs market
PPAP · Apr 2020: −27.0% vs market
IFBAGRO · Jan 2022: −26.9% vs market
LINC · Oct 2025: −26.0% vs market
IOLCP · Jul 2023: −25.7% vs market
ANDHRSUGAR · Nov 2022: −24.8% vs market
PODDARMENT · Sep 2021: −23.5% vs market
BANCOINDIA · Mar 2021: −21.6% vs market
MMP · Mar 2020: −19.0% vs market
PLASTIBLEN · Apr 2021: −18.9% vs market
VARDHACRLC · Aug 2021: −18.9% vs market
ASAHISONG · Aug 2021: −17.9% vs market
LINCOLN · Apr 2024: −7.6% vs market
MAZDA · Aug 2021: −7.2% vs market
INDNIPPON · Mar 2021: −6.7% vs market
EXPLEOSOL · Oct 2025: −5.0% vs market
CLSEL · Oct 2025: −0.6% vs market
PYRAMID · Mar 2025: +1.1% vs market
ELDEHSG · Dec 2023: +2.4% vs market
BLISSGVS · Feb 2024: +2.6% vs market
MPSLTD · Mar 2021: +5.5% vs market
LUMAXTECH · May 2021: +8.8% vs market
LGBBROSLTD · Feb 2024: +9.7% vs market
ALLDIGI · Aug 2021: +11.3% vs market
SEMAC · Nov 2020: +13.6% vs market
SASKEN · Aug 2023: +14.4% vs market
MAITHANALL · May 2021: +21.5% vs market
ANTELOPUS · Apr 2021: +29.4% vs market
KRBL · Jun 2022: +30.1% vs market
EXCELINDUS · Mar 2021: +31.6% vs market
SHREEPUSHK · Nov 2020: +39.4% vs market
AMBIKCO · Jan 2021: +45.5% vs market
KSL · May 2020: +49.6% vs market
EVERESTIND · Apr 2022: +52.3% vs market
DLINKINDIA · Mar 2022: +75.8% vs market
MINDTECK · Aug 2023: +77.5% vs market
GRAUWEIL · Aug 2022: +82.4% vs market
CONTROLPR · Dec 2022: +95.5% vs market
ASIANENE · Apr 2023: +100.0% vs market
DATAMATICS · Dec 2022: +105.8% vs market
WINDLAS · Oct 2023: +139.2% vs market
KABRAEXTRU · May 2020: +147.5% vs market
GOLDIAM · Jun 2020: +167.6% vs market
MANALIPETC · Apr 2020: +211.4% vs market
Similar setups +2.5%All companies +1.2%← 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 · 5 beyond the range shown, drawn at the edge

Similar setups' median
+2.5%
All companies' median
+1.2%
Beat the market
54% vs 51%

50 past situations · 50 companies · 32 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
BHAGERIA
Process Industries
Mar 2022 16x18% +41%−29% −45%
MAZDA
Producer Manufacturing
Aug 2021 15x16% +55%−18% −7%
LINCOLN
Health Technology
Apr 2024 17x22% +54%−18% −8%
TVTODAY
Consumer Services
Jul 2022 9x22% −5%−36% −36%
PPAP
Producer Manufacturing
Apr 2020 7x17% −43%−46% −27%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
KSL
Non-Energy Minerals
May 2020 5x20% −36%−46% +50%
PLASTIBLEN
Process Industries
Apr 2021 16x16% +58%−16% −19%
GOLDIAM
Consumer Durables
Jun 2020 5x15% −18%−40% +168%
How reliable is this?

Matched on P/E, P/S, ROCE, operating margin, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: 12-month momentum, drawdown from 12-month high and ROCE. 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 CYBERTECH SYSTEMS AND SOFTWARE. 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?

30 events since Aug '19

  1. SepPeer rankSlipped to the bottom quartile of Technology Services on EPS growth (from the 3rd quartile).
  2. JunResultsYear-on-year EPS growth turned negative.
  3. JunPeer rankMoved into the 3rd quartile of Technology Services on operating margin (from the bottom quartile).
  4. MarPriceFell 62% from the Sep 2024 peak to the Mar 2026 low.
  5. MarPeer rankSlipped to the bottom quartile of Technology Services on operating margin (from the 3rd quartile).
  6. FebValuationP/E fell below the 10th percentile of its own history to date (9.7x).
  7. DecPeer rankSlipped to the 2nd quartile of Technology Services on EPS growth (from the top quartile).
  8. JunPeer rankMoved into the top quartile of Technology Services on EPS growth (from the 2nd quartile).
Show 22 earlier events
  1. MarPeer rankMoved into the 2nd quartile of Technology Services on EPS growth (from the 3rd quartile).
  2. SepResultsYear-on-year EPS growth turned positive.
  3. AugPriceRegained the 2022-01 peak, 17 months after the low.
  4. AugValuationP/E crossed above the 90th percentile of its own history to date (30.5x).
  5. JunResultsRevenue (TTM) reached a new high of ₹222 cr.
  6. JunSharesShare count is up 10.7% over 12 months.
  7. JunResultsRevenue (TTM) reached a new high of ₹176 cr.
  8. MarPriceFell 63% from the Jan 2022 peak to the Mar 2023 low.
  9. OctPeer rankMoved into the 3rd quartile of Technology Services on EPS growth (from the bottom quartile).
  10. JunResultsYear-on-year EPS growth turned negative.
  11. JunPeer rankSlipped to the bottom quartile of Technology Services on EPS growth (from the top quartile).
  12. DecPriceRegained the 2021-07 peak, 1 month after the low.
  13. NovPriceFell 31% from the Jul 2021 peak to the Nov 2021 low.
  14. JulPriceRegained the 2020-12 peak, 6 months after the low.
  15. JunResultsRevenue (TTM) reached a new high of ₹118 cr.
  16. JanPriceFell 33% from the Dec 2020 peak to the Jan 2021 low.
  17. SepPriceRegained the 2019-09 peak, 6 months after the low.
  18. JunResultsRevenue (TTM) reached a new high of ₹113 cr.
  19. JunPeer rankMoved into the 2nd quartile of Technology Services on ROCE (from the 3rd quartile).
  20. MarPriceFell 59% from the Sep 2019 peak to the Mar 2020 low.
  21. SepPriceRegained the 2019-07 peak, 1 month after the low.
  22. AugPriceFell 30% from the Jul 2019 peak to the Aug 2019 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 history95 months · 2019-01 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1112.1x₹247 cr14.8%17.0%0.0x
2026-1011.9x₹247 cr15.0%17.0%0.0x
2026-0913.5x₹247 cr15.0%17.0%0.0x
2026-0813.2x₹237 cr14.4%17.0%0.0x
2026-0714.0x₹237 cr14.4%17.0%0.0x
2026-0614.6x₹237 cr14.4%17.0%0.0x
2026-0512.9x₹236 cr13.3%19.0%0.0x
2026-0411.6x₹236 cr13.3%19.0%0.0x
2026-039.1x₹236 cr13.3%19.0%0.0x
2026-029.7x₹237 cr14.3%19.0%0.0x
2026-0111.0x₹237 cr14.3%19.0%0.0x
2025-1212.3x₹237 cr14.3%19.0%0.0x
2025-1112.5x₹236 cr14.4%19.0%0.0x
2025-1014.2x₹236 cr14.4%19.0%0.0x
2025-0916.9x₹236 cr14.4%19.0%0.0x
2025-0812.1x₹236 cr14.1%19.0%0.0x
2025-0711.8x₹236 cr14.1%19.0%0.0x
2025-0612.6x₹236 cr14.1%19.0%0.0x
2025-0513.1x₹231 cr14.9%17.0%0.0x
2025-0412.2x₹231 cr14.9%17.0%0.0x
2025-0312.4x₹231 cr14.9%17.0%0.0x
2025-0214.7x₹227 cr13.2%17.0%0.0x
2025-0119.4x₹227 cr13.2%17.0%0.0x
2024-1220.8x₹227 cr13.2%17.0%0.0x
2024-1123.9x₹224 cr11.4%17.0%0.0x
2024-1024.4x₹224 cr11.4%17.0%0.0x
2024-0925.6x₹224 cr11.4%17.0%0.0x
2024-0830.5x₹222 cr10.6%17.0%0.0x
2024-0722.7x₹222 cr10.6%17.0%0.0x
2024-0621.6x₹222 cr10.6%17.0%0.0x
2024-0516.8x₹176 cr13.8%21.0%0.0x
2024-0419.1x₹176 cr13.8%21.0%0.0x
2024-0315.9x₹176 cr13.8%21.0%0.0x
2024-0218.7x₹176 cr13.8%21.0%0.0x
2024-0121.7x₹176 cr13.8%21.0%0.0x
2023-1223.0x₹176 cr13.8%21.0%0.0x
2023-1120.6x₹176 cr13.8%21.0%0.0x
2023-1017.6x₹176 cr13.8%21.0%0.0x
2023-0916.1x₹176 cr13.8%21.0%0.0x
2023-0814.7x₹176 cr13.8%21.0%0.0x
2023-0715.0x₹176 cr13.8%21.0%0.0x
2023-0615.7x₹176 cr13.8%21.0%0.0x
2023-0514.3x₹139 cr16.7%23.0%0.0x
2023-0413.8x₹139 cr16.7%23.0%0.0x
2023-0310.9x₹139 cr16.7%23.0%0.0x
2023-0213.4x₹139 cr16.7%23.0%0.0x
2023-0114.5x₹139 cr16.7%23.0%0.0x
2022-1214.4x₹139 cr16.7%23.0%0.0x
2022-1113.9x₹139 cr16.7%23.0%0.0x
2022-1014.7x₹139 cr16.7%23.0%0.0x
2022-0915.2x₹139 cr16.7%23.0%0.0x
2022-0818.4x₹139 cr16.7%23.0%0.0x
2022-0717.3x₹139 cr16.7%23.0%0.0x
2022-0614.4x₹139 cr16.7%23.0%0.0x
2022-0514.9x₹118 cr20.9%20.0%0.1x
2022-0417.5x₹118 cr20.9%20.0%0.1x
2022-0317.2x₹118 cr20.9%20.0%0.1x
2022-0216.5x₹118 cr20.9%20.0%0.1x
2022-0119.7x₹118 cr20.9%20.0%0.1x
2021-1222.3x₹118 cr20.9%20.0%0.1x
2021-1114.3x₹118 cr20.9%20.0%0.1x
2021-1016.6x₹118 cr20.9%20.0%0.1x
2021-0916.1x₹118 cr20.9%20.0%0.1x
2021-0816.5x₹118 cr20.9%20.0%0.1x
2021-0719.4x₹118 cr20.9%20.0%0.1x
2021-0615.7x₹118 cr20.9%20.0%0.1x
2021-0526.7x₹113 cr13.7%18.0%0.1x
2021-0423.3x₹113 cr13.7%18.0%0.1x
2021-0322.1x₹113 cr13.7%18.0%0.1x
2021-0222.9x₹113 cr13.7%18.0%0.1x
2021-0122.1x₹113 cr13.7%18.0%0.1x
2020-1230.2x₹113 cr13.7%18.0%0.1x
2020-1114.4x₹113 cr13.7%18.0%0.1x
2020-1014.1x₹113 cr13.7%18.0%0.1x
2020-0911.1x₹113 cr13.7%18.0%0.1x
2020-089.2x₹113 cr13.7%18.0%0.1x
2020-078.7x₹113 cr13.7%18.0%0.1x
2020-067.6x₹113 cr13.7%18.0%0.1x
2020-058.1x₹97 cr11.9%13.0%0.2x
2020-047.8x₹97 cr11.9%13.0%0.2x
2020-036.7x₹97 cr11.9%13.0%0.2x
2020-029.8x₹97 cr11.9%13.0%0.2x
2020-0110.8x₹97 cr11.9%13.0%0.2x
2019-1210.8x₹97 cr11.9%13.0%0.2x
2019-1111.0x₹97 cr11.9%13.0%0.2x
2019-1011.4x₹97 cr11.9%13.0%0.2x
2019-0911.9x₹97 cr11.9%13.0%0.2x
2019-0811.2x₹97 cr11.9%13.0%0.2x
2019-0710.0x₹97 cr11.9%13.0%0.2x
2019-069.6x₹97 cr11.9%13.0%0.2x
2019-0536.7x₹87 cr4.2%6.0%0.1x
2019-0432.8x₹87 cr4.2%6.0%0.1x
2019-0333.3x₹87 cr4.2%6.0%0.1x
2019-0230.2x₹87 cr4.2%6.0%0.1x
2019-0129.3x₹87 cr4.2%6.0%0.1x

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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