अApnaFunda

NINtec SYSTEMS LTD (NINSYS)

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.95 / 100
Profitability 90Balance 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.65 / 100
Price 94Earnings 47FII/DII 55

Passes these screensQuality CompounderHigh MomentumDebt-light & profitableNear 52-week high

Share price

Closing priceAdjusted for splits and bonus issues.

₹931.35 latest close · +6.2% over the last 90 sessions

₹700₹800₹900₹1,000Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹700₹800₹900₹1,000Jul 3Sep 4Nov 9

₹931.35 month-end · +129.5% over 12 months

₹400₹600₹800₹1,000Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹400₹600₹800₹1,000Nov '25May '26Nov '26

₹931.35 month-end · +90.8% since Jun '24

₹400₹600₹800₹1,000Jun '24Dec '24Jun '25Nov '25May '26Nov '26 ₹400₹600₹800₹1,000Jun '24Sep '25Nov '26

52-week range ₹281.05 to ₹1006.00 · 1-year volatility 44.5%

Was the rally earned?

+130%share price, 1 yearMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 26.7x to 51.6x); per-share earnings added 27 points.
  • The share count fell 3%.
Net profit growth: +23 pts. Points of the price return explained by net profit growing (or shrinking).+23 ptsNet profit growthP/E change: +103 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+103 ptsP/E changeShare count change: +4 pts. Points of the price return explained by the share count changing. More shares count against the price.+4 ptsShare count changeShare price: +130%+130%Share priceNet profit growth: +23 pts. Points of the price return explained by net profit growing (or shrinking).+23ProfitP/E change: +103 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+103P/EShare count change: +4 pts. Points of the price return explained by the share count changing. More shares count against the price.+4SharesShare price: +130%+130%Share price
Net profit growth+23 ptsNet profit rose about 16%, which lifts the price.
P/E change+103 ptsThe P/E rose from 26.7x to 51.6x, which lifts the price.
Share count change+4 ptsShare count fell 3%, which lifts 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 ONE 97 COMMUNICATIONS PAYTM

How rough has the ride been?

Maximum drawdown-56.8%recovered 2026-05
1-year volatility44.5%annualised
Beta vs sector index0.323-year daily, correlation 0.14
Volume spikes4last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%202420252026−56.2% 0%−20%−40%−60%202420252026−56.2%
Largest drawdowns

-56.8% (2024-09 peak to 2026-03 low, recovered 2026-05)

-33.9% (2023-02 peak to 2023-03 low, recovered 2023-04)

-30.7% (2023-12 peak to 2024-05 low, recovered 2024-09)

Most recent volume spikes

2026-11-03: 5.5x the 50-day median, price +2.3% that day

2026-10-05: 5x the 50-day median, price +4.6% that day

2026-10-01: 5.6x the 50-day median, price +5.0% 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?

51.6xP/E todayWithin its usual range
Against its own history77th percentile
CheapestMedian 38.5xDearest

Usual range 24.9x to 60.6x since 2024-06.

Against Technology Services51.6x vs 21.1x
This company
51.6x
Sector median
21.1x

145% above the Technology Services median.

19.6x37.2x54.9x72.6xJun '24Dec '24Jun '25Dec '25Jun '26Nov '2619.6x37.2x54.9x72.6xJun '24Apr '25Feb '26Nov '26
P/E (this company)10th to 90th percentile of its own historyIts medianTechnology Services median

The chart loads when you open this tab.

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

The chart loads when you open this tab.

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

  • ROCE98thflat vs a year ago
  • Op. margin83rd▲ 9 pts vs a year ago
  • Revenue growth66th▼ 29 pts vs a year ago
  • EPS growth63rd▼ 28 pts vs a year ago
  • Debt/equity ↓73rd▲ 3 pts vs a year ago
  • Cash cycle ↓30th▲ 10 pts vs a year ago
  • P/E ↓17th▼ 36 pts vs a year ago
  • 12M momentum99th▲ 62 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?

~27%annual earnings growth implied by the price

At a P/E of 51.6x, the price would imply about 26.7%/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
₹931.35
P/E
51.6x
ROCE
54.0%
Market Cap
₹1729 cr
Revenue (TTM)
₹177 cr
P/S
9.8x
P/B
18.8x
ROE
36.4%
Operating Margin
26.0%
Debt / Equity
0.0x
Promoter Holding
47.6%
12M Momentum
129.4%

52-week range

₹281.05₹1006.00
90% of the way from its 52-week low to its high

Price risk

1Y volatility
44.5%
Beta vs sector
1-year daily
0.19

Balance sheet & cash

Debt service
no meaningful debt
Cash from profit, 3Y
operating cash flow ÷ net profit
0.81x
Share count, 1Y
unchanged

Are profits backed by cash?

6 of 6checks within rangeAll clear
Other income reliance2%Within range

Other income as a share of pre-tax profit (trailing twelve months): 2.3%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate25%Within range

Median quarterly effective tax rate over about 2.5 years: 25.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion0.81xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 0.81x (cash from operations ₹60 cr, net profit ₹74 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow3 of 3 yrsWithin range

Fiscal years with positive free cash flow in the last 3: 3. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history-9 daysWithin range

Debtor days are below the median of the previous three fiscal years by 9 days (105 vs 114). 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, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders rose from 6,475 to 6,918 (+7%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters47.2%47.6%+0.4 pts
FIIs0.0%0.0%0.0 pts
DIIs0.0%0.0%0.0 pts
Public and others52.8%52.4%-0.4 pts

Number of shareholders

6,918shareholders+7% since Sep '23
6k8k9k10k Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 6,475
Dec '23: 7,000
Mar '24: 7,522
Jun '24: 8,105
Sep '24: 10,150
Dec '24: 10,288
Mar '25: 9,975
Jun '25: 9,719
Sep '25: 9,285
Dec '25: 8,721
Mar '26: 8,312
Jun '26: 6,918
6k8k9k10k Sep '23Sep '24Sep '25Jun '26
Sep '23: 6,475
Dec '23: 7,000
Mar '24: 7,522
Jun '24: 8,105
Sep '24: 10,150
Dec '24: 10,288
Mar '25: 9,975
Jun '25: 9,719
Sep '25: 9,285
Dec '25: 8,721
Mar '26: 8,312
Jun '26: 6,918

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

−19.0%typical 12-month return vs the marketBelow the base rate
  • We found 50 past situations where a non-financial company looked like NINtec SYSTEMS LTD 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 −36% to +16% vs the market, against 0% for all non-financial companies in the same months.
  • The analogs' median sat below that base rate (gap −18.8%, 80% range −25.6% to −13.7%), but the matches cluster in only 5 distinct 12-month windows.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
FOCUS · Oct 2023: −51.0% vs market
NUCLEUS · Sep 2020: −46.8% vs market
MPSLTD · Feb 2025: −46.1% vs market
RITES · Mar 2020: −45.6% vs market
SAKSOFT · Oct 2023: −45.4% vs market
NEWGEN · Jun 2021: −43.9% vs market
TANLA · Oct 2021: −41.4% vs market
SIGMA · Jul 2023: −40.6% vs market
RAJRATAN · Aug 2022: −39.8% vs market
THYROCARE · Oct 2020: −37.9% vs market
SBCL · Jul 2023: −37.9% vs market
IRIS · Dec 2024: −36.4% vs market
BETA · Mar 2025: −35.9% vs market
ADFFOODS · Apr 2021: −35.1% vs market
RAILTEL · Feb 2024: −34.7% vs market
KFINTECH · Dec 2024: −33.3% vs market
TRITURBINE · Jan 2025: −29.3% vs market
ADVENZYMES · Sep 2020: −28.1% vs market
RHIM · Dec 2022: −24.5% vs market
DHANUKA · Jul 2020: −23.5% vs market
EXPLEOSOL · Mar 2022: −22.9% vs market
VIMTALABS · Mar 2025: −22.1% vs market
FCL · Sep 2022: −21.6% vs market
BALAMINES · Aug 2021: −20.0% vs market
ZTECH · Jul 2025: −19.6% vs market
VAIBHAVGBL · Nov 2020: −18.4% vs market
FINEORG · Jan 2020: −15.2% vs market
SHANTIGEAR · Jun 2023: −14.5% vs market
CAPLIPOINT · Apr 2020: −12.2% vs market
NETWEB · Aug 2024: −12.0% vs market
BHARATRAS · Jul 2020: −9.4% vs market
ESABINDIA · Feb 2020: −9.4% vs market
CARERATING · Jun 2025: −7.9% vs market
AMRUTANJAN · Jul 2020: +1.3% vs market
LALPATHLAB · Feb 2020: +3.8% vs market
METROPOLIS · May 2020: +7.1% vs market
SAREGAMA · Jun 2021: +15.5% vs market
NEULANDLAB · Aug 2024: +16.7% vs market
TIPSMUSIC · Feb 2024: +18.9% vs market
GMMPFAUDLR · Jan 2020: +20.0% vs market
KSOLVES · Apr 2023: +26.8% vs market
DATAPATTNS · Feb 2023: +27.4% vs market
IEX · Jun 2020: +27.7% vs market
INGERRAND · Aug 2022: +48.6% vs market
POLYMED · Jul 2020: +60.6% vs market
ALKYLAMINE · Sep 2020: +82.1% vs market
TDPOWERSYS · Oct 2025: +94.7% vs market
SANGHVIMOV · Apr 2023: +130.1% vs market
JSLL · Mar 2024: +150.3% vs market
TATAELXSI · Sep 2020: +165.6% vs market
Similar setups −19.0%All companies −0.2%← 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 · 3 beyond the range shown, drawn at the edge

Similar setups' median
−19.0%
All companies' median
−0.2%
Beat the market
34% vs 50%

50 past situations · 50 companies · 33 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
ALKYLAMINE
Process Industries
Sep 2020 33x41% +265%−7% +82%
TIPSMUSIC
Consumer Services
Feb 2024 87x87% +245%0% +19%
JSLL
Health Services
Mar 2024 62x52% +423%−8% +150%
SANGHVIMOV
Industrial Services
Apr 2023 57x— +112%−3% +130%
MPSLTD
Consumer Services
Feb 2025 34x36% +65%−17% −46%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
THYROCARE
Health Services
Oct 2020 69x35% +102%−5% −38%
FOCUS
Producer Manufacturing
Oct 2023 50x46% +302%−1% −51%
RHIM
Producer Manufacturing
Dec 2022 50x37% +129%−1% −25%
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: drawdown from 12-month high, P/E and P/S. 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 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 NINtec SYSTEMS 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

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.

STEELCASTSTEELCAS
Non-Energy Minerals
71%similar
operating marginvolatility
VIMTA LABSVIMTALABS
Commercial Services
69%similar
volatilitydebt/equity
Health Technology
62%similar
volatilitymarket cap
Electronic Technology
56%similar
operating marginmarket cap
Industrial Services
51%similar
revenuedebt/equity
Technology Services
51%similar
volatilitydebt/equity
Technology Services
43%similar
revenueoperating margin
Technology Services
42%similar
ROCErevenue

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

What changed?

24 events since Mar '23

  1. OctPriceVolume reached 5.6x its 50-day median on 2026-10-01; price +5.0% that day.
  2. AugPriceVolume reached 5.5x its 50-day median on 2026-08-03; price -3.9% that day.
  3. JunPeer rankSlipped to the 2nd quartile of Technology Services on EPS growth (from the top quartile).
  4. MayPriceRegained the 2024-09 peak, 2 months after the low.
  5. AprPriceVolume reached 10.7x its 50-day median on 2026-04-01; price -0.5% that day.
  6. MarPriceFell 57% from the Sep 2024 peak to the Mar 2026 low.
  7. FebPriceVolume reached 28.0x its 50-day median on 2026-02-26; price +2.6% that day.
  8. DecPeer rankMoved into the top quartile of Technology Services on operating margin (from the 2nd quartile).
Show 16 earlier events
  1. DecPriceVolume reached 152.3x its 50-day median on 2025-12-03; price -1.5% that day.
  2. SepPriceVolume reached 8.4x its 50-day median on 2025-09-02; price +6.4% that day.
  3. JunPeer rankSlipped to the 2nd quartile of Technology Services on operating margin (from the top quartile).
  4. JunPriceVolume reached 38.9x its 50-day median on 2025-06-11; price +11.2% that day.
  5. MarPriceVolume reached 15.1x its 50-day median on 2025-03-20; price -0.9% that day.
  6. OctPriceVolume reached 13.3x its 50-day median on 2024-10-08; price +12.3% that day.
  7. SepPriceRegained the 2023-12 peak, 4 months after the low.
  8. SepPriceVolume reached 69.0x its 50-day median on 2024-09-11; price +11.7% that day.
  9. MayPriceFell 31% from the Dec 2023 peak to the May 2024 low.
  10. MayPriceVolume reached 11.1x its 50-day median on 2024-05-30; price +6.4% that day.
  11. MarPriceVolume reached 11.3x its 50-day median on 2024-03-13; price -2.5% that day.
  12. NovPriceVolume reached 16.1x its 50-day median on 2023-11-10; price +7.6% that day.
  13. AugPriceVolume reached 15.4x its 50-day median on 2023-08-02; price +1.2% that day.
  14. JunPriceVolume reached 6.2x its 50-day median on 2023-06-15; price +5.0% that day.
  15. AprPriceRegained the 2023-02 peak, 1 month after the low.
  16. MarPriceFell 34% from the Feb 2023 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 history30 months · 2024-06 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1151.6x₹177 cr36.4%54.0%0.0x
2026-1052.0x₹177 cr37.0%54.0%0.0x
2026-0942.4x₹177 cr37.0%54.0%0.0x
2026-0841.4x₹170 cr35.9%54.0%0.0x
2026-0745.4x₹170 cr35.9%54.0%0.0x
2026-0647.9x₹170 cr35.9%54.0%0.0x
2026-0543.0x₹162 cr50.0%67.0%0.0x
2026-0431.5x₹162 cr50.0%67.0%0.0x
2026-0324.1x₹162 cr50.0%67.0%0.0x
2026-0220.4x₹154 cr48.4%67.0%0.0x
2026-0121.4x₹154 cr48.4%67.0%0.0x
2025-1224.9x₹154 cr48.4%67.0%0.0x
2025-1126.7x₹146 cr46.8%67.0%0.0x
2025-1028.7x₹146 cr46.8%67.0%0.0x
2025-0928.9x₹146 cr46.8%67.0%0.0x
2025-0831.7x₹140 cr43.5%67.0%0.0x
2025-0730.4x₹140 cr43.5%67.0%0.0x
2025-0634.0x₹140 cr43.5%67.0%0.0x
2025-0535.5x₹134 cr74.3%—0.1x
2025-0433.3x₹134 cr74.3%—0.1x
2025-0334.0x₹134 cr74.3%—0.1x
2025-0239.2x₹122 cr65.7%—0.1x
2025-0137.8x₹122 cr65.7%—0.1x
2024-1246.9x₹122 cr65.7%—0.1x
2024-1169.4x₹83 cr45.7%—0.1x
2024-1068.5x₹83 cr45.7%—0.1x
2024-0972.6x₹83 cr45.7%—0.1x
2024-0859.7x₹83 cr45.7%—0.1x
2024-0757.1x₹83 cr45.7%—0.1x
2024-0658.5x₹83 cr45.7%—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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