अApnaFunda

SHOPPERS STOP LIMITED (SHOPERSTOP)

Retail Trade · Department Stores · 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.29 / 100
Profitability 49Growth 34Balance sheet 2
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.26 / 100
Price 26Earnings 27FII/DII 26

Share price

Closing priceAdjusted for splits and bonus issues.

₹363.95 latest close · +2.7% over the last 90 sessions

₹350₹400Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹350₹400Jul 3Sep 4Nov 9

₹363.95 month-end · −14.5% over 12 months

₹300₹350₹400Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹300₹350₹400Nov '25May '26Nov '26

₹363.95 month-end · −47.0% over 3 years

₹400₹600₹800Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹400₹600₹800Nov '23May '25Nov '26

₹363.95 month-end · −25.0% since Jan '19

₹250₹500₹750Jan '19Aug '20Mar '22Sep '23Apr '25Nov '26 ₹250₹500₹750Jan '19Dec '22Nov '26

52-week range ₹275.95 to ₹504.50 · 1-year volatility 40.2%

How rough has the ride been?

Maximum drawdown-75.1%recovered 2022-04
1-year volatility40.2%annualised
Beta vs sector index0.633-year daily, correlation 0.33
Volume spikes12last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−25%−50%−75%2020202120222023202420252026−75.0% 0%−25%−50%−75%2020202220242026−75.0%
Largest drawdowns

-75.1% (2019-01 peak to 2020-05 low, recovered 2022-04)

-68.6% (2024-09 peak to 2026-04 low, not yet recovered)

-27.3% (2022-10 peak to 2023-04 low, recovered 2023-06)

Most recent volume spikes

2026-10-30: 6.5x the 50-day median, price +1.9% that day

2026-10-22: 8.2x the 50-day median, price 0.0% that day

2026-10-21: 14.2x the 50-day median, price -2.8% 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).

Where does it rank among Retail Trade peers?

Each cell is the company's percentile rank among its Retail Trade 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

  • ROCE28th▼ 6 pts vs a year ago
  • Op. margin71stflat vs a year ago
  • Revenue growth23rd▼ 16 pts vs a year ago
  • EPS growth2nd▼ 11 pts vs a year ago
  • Debt/equity ↓2ndflat vs a year ago
  • Cash cycle ↓98thflat vs a year ago
  • P/E ↓7thflat vs a year ago
  • 12M momentum51st▲ 3 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 Retail Trade sector page Watch it move against Retail Trade in the Observatory

What is the price implying?

Trailing earnings per share are negative, so a P/E-based figure does not exist. See the loss-makers list on the Expectations Gap page for a revenue-based version.

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

What prices imply across Retail Trade The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹363.95
ROCE
7.0%
Market Cap
₹4007 cr
Revenue (TTM)
₹5174 cr
P/S
0.8x
P/B
13.8x
ROE
-11.9%
Operating Margin
14.5%
Debt / Equity
11.4x
Promoter Holding
66.1%
12M Momentum
-14.5%

52-week range

₹275.95₹504.50
39% of the way from its 52-week low to its high

Price risk

1Y volatility
40.2%
Beta vs sector
1-year daily
0.63

Balance sheet & cash

Interest cover
operating profit ÷ interest
0.8x
Cash from profit, 3Y
operating cash flow ÷ net profit
5.00x
Share count, 1Y
unchanged

Are profits backed by cash?

5 of 5checks within rangeAll clear
Other income reliance—Not enough data

Not enough reported data to compute this.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion37.46xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 37.46x (cash from operations ₹1,948 cr, net profit ₹52 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+1 daysWithin range

Debtor days are above the median of the previous three fiscal years by 1 days (6 vs 5). 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+12 days / 2 yrsWithin range

Days payable changed by +12 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, FIIs trimmed 4.9 pts; DIIs added 4.1 pts; promoters added 0.5 pts.
  • The number of shareholders fell from 41,112 to 26,432 (-36%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters65.5%66.1%+0.5 pts
FIIs6.8%1.9%-4.9 pts
DIIs21.6%25.7%+4.1 pts
Public and others6.1%6.3%+0.2 pts

Number of shareholders

26,432shareholders-36% since Sep '23
24k30k36k41k Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 41,112
Dec '23: 41,376
Mar '24: 25,677
Jun '24: 24,567
Sep '24: 24,285
Dec '24: 27,899
Mar '25: 28,949
Jun '25: 28,806
Sep '25: 28,601
Dec '25: 28,046
Mar '26: 27,006
Jun '26: 26,432
24k30k36k41k Sep '23Sep '24Sep '25Jun '26
Sep '23: 41,112
Dec '23: 41,376
Mar '24: 25,677
Jun '24: 24,567
Sep '24: 24,285
Dec '24: 27,899
Mar '25: 28,949
Jun '25: 28,806
Sep '25: 28,601
Dec '25: 28,046
Mar '26: 27,006
Jun '26: 26,432

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

+14.1%typical 12-month return vs the marketAbove the base rate
  • We found 50 past situations where a non-financial company looked like SHOPPERS STOP LIMITED 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 −24% to +36% vs the market, against −1% for all non-financial companies in the same months.
  • The analogs' median sat above that base rate (gap +15.2%, 80% range +8.1% to +19.8%), but the matches cluster in only 6 distinct 12-month windows.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
NDLVENTURE · Oct 2022: −68.0% vs market
HIMATSEIDE · Oct 2021: −63.9% vs market
SADBHAV · Jan 2020: −62.5% vs market
MUKTAARTS · Mar 2025: −39.2% vs market
RENUKA · Jan 2025: −37.4% vs market
HCC · Jan 2020: −37.3% vs market
ESSARSHPNG · Apr 2020: −35.8% vs market
DCW · Sep 2025: −33.2% vs market
NETWORK18 · Dec 2023: −30.4% vs market
JAIBALAJI · Jun 2021: −28.1% vs market
GTLINFRA · Oct 2025: −27.8% vs market
EDELWEISS · Mar 2021: −25.0% vs market
MAHLOG · Aug 2024: −24.4% vs market
GLOBALVECT · Apr 2025: −22.9% vs market
SCHNEIDER · Jan 2021: −20.3% vs market
CINELINE · Feb 2025: −14.7% vs market
ADANIPOWER · Feb 2020: −14.1% vs market
PRSMJOHNSN · May 2024: −8.2% vs market
PNBGILTS · Nov 2023: −4.0% vs market
EMAMIPAP · Mar 2021: +7.0% vs market
PFOCUS · Oct 2022: +10.4% vs market
ARVINDFASN · Feb 2023: +10.5% vs market
BBTCL · Jul 2025: +11.1% vs market
HCG · Jun 2020: +11.6% vs market
NAGAFERT · May 2021: +13.0% vs market
NFL · Jul 2020: +15.2% vs market
IDEA · Aug 2023: +17.3% vs market
INDSWFTLAB · Dec 2022: +17.4% vs market
ASHOKLEY · Aug 2021: +18.0% vs market
MADRASFERT · Jul 2020: +19.2% vs market
RPSGVENT · Sep 2023: +20.2% vs market
GMRAIRPORT · Feb 2021: +21.2% vs market
MHRIL · Jan 2022: +21.7% vs market
MRPL · Sep 2021: +26.6% vs market
DYNAMATECH · Jun 2021: +28.4% vs market
ABFRL · May 2021: +28.6% vs market
VARROC · Jun 2023: +31.8% vs market
RBA · Oct 2025: +37.9% vs market
BOMDYEING · Jul 2023: +39.7% vs market
JAYNECOIND · Sep 2024: +46.4% vs market
MMTC · Nov 2020: +48.4% vs market
DBL · Jun 2023: +50.3% vs market
SHIVAMAUTO · Jul 2021: +57.1% vs market
RPOWER · Sep 2023: +74.1% vs market
TI · Apr 2022: +84.2% vs market
TATACOMM · Jan 2020: +102.9% vs market
KESORAMIND · Jun 2023: +127.5% vs market
RTNPOWER · Jul 2023: +140.0% vs market
STAR · Nov 2023: +159.9% vs market
JITFINFRA · Dec 2022: +265.0% vs market
Similar setups +14.1%All companies −1.1%← 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
+14.1%
All companies' median
−1.1%
Beat the market
62% vs 49%

50 past situations · 50 companies · 36 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
PFOCUS
Consumer Services
Oct 2022 —11% −6%−22% +10%
KESORAMIND
Non-Energy Minerals
Jun 2023 —10% +34%−6% +128%
JITFINFRA
Transportation
Dec 2022 —6% −8%−32% +265%
VARROC
Producer Manufacturing
Jun 2023 —8% +12%−16% +32%
BOMDYEING
Process Industries
Jul 2023 —1% +15%−8% +40%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
ASHOKLEY
Producer Manufacturing
Aug 2021 —5% +88%−14% +18%
JAYNECOIND
Producer Manufacturing
Sep 2024 —3% +41%−20% +46%
SCHNEIDER
Distribution Services
Jan 2021 —3% +15%−14% −20%
How reliable is this?

Matched on P/S, ROCE, operating margin, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: interest cover, drawdown from 12-month high and 12-month momentum. Not used (unavailable for this company): P/E. This company is loss-making, so it was only compared with loss-making companies. 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 SHOPPERS STOP 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 else looks like this?

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

Process Industries
67%similar
market caprevenue growth
Consumer Services
63%similar
market capdebt/equity
Consumer Services
63%similar
volatilitydebt/equity
Process Industries
59%similar
market caprevenue growth
Health Services
53%similar
ROCEpromoter holding
Retail Trade
60%similar
promoter holdingROCE
Retail Trade
39%similar
revenuedebt/equity
Retail Trade
38%similar
operating marginrevenue

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

What changed?

30 events since Jun '23

  1. OctPriceVolume reached 457.9x its 50-day median on 2026-10-15; price +2.9% that day.
  2. SepPeer rankSlipped to the 2nd quartile of Retail Trade on operating margin (from the top quartile).
  3. JulPriceVolume reached 107.9x its 50-day median on 2026-07-10; price +8.2% that day.
  4. JunPeer rankMoved into the top quartile of Retail Trade on operating margin (from the 2nd quartile).
  5. MayPriceVolume reached 50.3x its 50-day median on 2026-05-06; price +14.7% that day.
  6. AprPriceFell 69% from the Sep 2024 peak to the Apr 2026 low.
  7. MarResultsEPS (TTM) turned negative.
  8. MarPeer rankSlipped to the 2nd quartile of Retail Trade on operating margin (from the top quartile).
Show 22 earlier events
  1. JanPeer rankMoved into the top quartile of Retail Trade on operating margin (from the 2nd quartile).
  2. JanPriceVolume reached 35.1x its 50-day median on 2026-01-21; price -6.2% that day.
  3. DecResultsYear-on-year EPS growth turned positive.
  4. DecPeer rankMoved into the 3rd quartile of Retail Trade on EPS growth (from the bottom quartile).
  5. OctPriceVolume reached 22.2x its 50-day median on 2025-10-06; price +0.4% that day.
  6. SepPeer rankSlipped to the 2nd quartile of Retail Trade on operating margin (from the top quartile).
  7. JulPriceVolume reached 34.9x its 50-day median on 2025-07-16; price +5.7% that day.
  8. JunValuationP/E crossed above the 90th percentile of its own history to date (506.6x).
  9. AprPriceVolume reached 11.5x its 50-day median on 2025-04-30; price -7.0% that day.
  10. MarPeer rankMoved into the top quartile of Retail Trade on operating margin (from the 2nd quartile).
  11. JanPriceVolume reached 62.6x its 50-day median on 2025-01-15; price +0.8% that day.
  12. DecPriceVolume reached 21.3x its 50-day median on 2024-12-23; price -3.8% that day.
  13. JulPriceVolume reached 45.8x its 50-day median on 2024-07-10; price +16.8% that day.
  14. JunResultsRevenue (TTM) reached a new high of ₹4,317 cr.
  15. JunValuationP/E crossed above the 90th percentile of its own history to date (107.3x).
  16. JunPeer rankSlipped to the 3rd quartile of Retail Trade on ROCE (from the 2nd quartile).
  17. JunPriceVolume reached 15.2x its 50-day median on 2024-06-21; price +0.4% that day.
  18. JanDebtDebt / equity halved over 12 months to 11.53x.
  19. JanPriceVolume reached 17.2x its 50-day median on 2024-01-19; price -1.1% that day.
  20. DecPriceVolume reached 11.4x its 50-day median on 2023-12-28; price -0.4% that day.
  21. AugPriceVolume reached 38.1x its 50-day median on 2023-08-25; price -12.7% that day.
  22. JunResultsEPS (TTM) turned positive.

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
2026-11—₹5174 cr-11.9%7.0%11.4x
2026-10—₹5174 cr-11.9%7.0%11.4x
2026-09—₹5174 cr-11.9%7.0%11.4x
2026-08—₹5043 cr-12.4%7.0%11.4x
2026-07—₹5043 cr-12.4%7.0%11.4x
2026-06—₹5043 cr-12.4%7.0%11.4x
2026-05—₹4898 cr-5.5%8.0%10.3x
2026-04—₹4898 cr-5.5%8.0%10.3x
2026-03—₹4898 cr-5.5%8.0%10.3x
2026-02181.9x₹4861 cr5.7%8.0%10.3x
2026-01219.4x₹4861 cr5.7%8.0%10.3x
2025-12230.5x₹4861 cr5.7%8.0%10.3x
2025-11261.2x₹4719 cr5.6%8.0%10.3x
2025-10315.6x₹4719 cr5.6%8.0%10.3x
2025-09318.5x₹4719 cr5.6%8.0%10.3x
2025-08545.3x₹4628 cr3.4%8.0%10.3x
2025-07524.8x₹4628 cr3.4%8.0%10.3x
2025-06506.6x₹4628 cr3.4%8.0%10.3x
2025-05174.2x₹4610 cr10.7%12.0%9.3x
2025-04174.6x₹4610 cr10.7%12.0%9.3x
2025-03187.6x₹4610 cr10.7%12.0%9.3x
2025-02344.2x₹4468 cr5.6%12.0%9.3x
2025-01377.1x₹4468 cr5.6%12.0%9.3x
2024-12396.6x₹4468 cr5.6%12.0%9.3x
2024-11164.1x₹4392 cr13.3%12.0%9.3x
2024-10184.8x₹4392 cr13.3%12.0%9.3x
2024-09216.9x₹4392 cr13.3%12.0%9.3x
2024-08115.2x₹4317 cr25.6%12.0%9.3x
2024-07111.0x₹4317 cr25.6%12.0%9.3x
2024-06107.3x₹4317 cr25.6%12.0%9.3x
2024-0569.0x₹4022 cr56.3%15.0%11.5x
2024-0467.8x₹4022 cr56.3%15.0%11.5x
2024-0371.4x₹4022 cr56.3%15.0%11.5x
2024-0270.1x₹4022 cr56.3%15.0%11.5x
2024-0171.3x₹4022 cr56.3%15.0%11.5x
2023-1265.3x₹4022 cr56.3%15.0%11.5x
2023-1164.9x₹4022 cr56.3%15.0%11.5x
2023-1060.5x₹4022 cr56.3%15.0%11.5x
2023-0964.8x₹4022 cr56.3%15.0%11.5x
2023-0868.9x₹4022 cr56.3%15.0%11.5x
2023-0775.4x₹4022 cr56.3%15.0%11.5x
2023-0677.2x₹4022 cr56.3%15.0%11.5x
2023-05—₹2519 cr-61.8%4.0%27.8x
2023-04—₹2519 cr-61.8%4.0%27.8x
2023-03—₹2519 cr-61.8%4.0%27.8x
2023-02—₹2519 cr-61.8%4.0%27.8x
2023-01—₹2519 cr-61.8%4.0%27.8x
2022-12—₹2519 cr-61.8%4.0%27.8x
2022-11—₹2519 cr-61.8%4.0%27.8x
2022-10—₹2519 cr-61.8%4.0%27.8x
2022-09—₹2519 cr-61.8%4.0%27.8x
2022-08—₹2519 cr-61.8%4.0%27.8x
2022-07—₹2519 cr-61.8%4.0%27.8x
2022-06—₹2519 cr-61.8%4.0%27.8x
2022-05—₹1749 cr-222.5%-5.0%17.6x
2022-04—₹1749 cr-222.5%-5.0%17.6x
2022-03—₹1749 cr-222.5%-5.0%17.6x
2022-02—₹1749 cr-222.5%-5.0%17.6x
2022-01—₹1749 cr-222.5%-5.0%17.6x
2021-12—₹1749 cr-222.5%-5.0%17.6x
2021-11—₹1749 cr-222.5%-5.0%17.6x
2021-10—₹1749 cr-222.5%-5.0%17.6x
2021-09—₹1749 cr-222.5%-5.0%17.6x
2021-08—₹1749 cr-222.5%-5.0%17.6x
2021-07—₹1749 cr-222.5%-5.0%17.6x
2021-06—₹1749 cr-222.5%-5.0%17.6x
2021-05—₹3464 cr-211.9%8.0%33.5x
2021-04—₹3464 cr-211.9%8.0%33.5x
2021-03—₹3464 cr-211.9%8.0%33.5x
2021-02—₹3464 cr-211.9%8.0%33.5x
2021-01—₹3464 cr-211.9%8.0%33.5x
2020-12—₹3464 cr-211.9%8.0%33.5x
2020-11—₹3464 cr-211.9%8.0%33.5x
2020-10—₹3464 cr-211.9%8.0%33.5x
2020-09—₹3464 cr-211.9%8.0%33.5x
2020-08—₹3464 cr-211.9%8.0%33.5x
2020-07—₹3464 cr-211.9%8.0%33.5x
2020-06—₹3464 cr-211.9%8.0%33.5x
2020-0521.7x₹3578 cr7.1%12.0%0.1x
2020-0429.8x₹3578 cr7.1%12.0%0.1x
2020-0330.5x₹3578 cr7.1%12.0%0.1x
2020-0260.6x₹3578 cr7.1%12.0%0.1x
2020-0166.0x₹3578 cr7.1%12.0%0.1x
2019-1259.3x₹3578 cr7.1%12.0%0.1x
2019-1156.8x₹3578 cr7.1%12.0%0.1x
2019-1059.6x₹3578 cr7.1%12.0%0.1x
2019-0968.2x₹3578 cr7.1%12.0%0.1x
2019-0863.9x₹3578 cr7.1%12.0%0.1x
2019-0759.9x₹3578 cr7.1%12.0%0.1x
2019-0677.6x₹3578 cr7.1%12.0%0.1x
2019-0520.7x₹3697 cr23.7%4.0%0.1x
2019-0419.6x₹3697 cr23.7%4.0%0.1x
2019-0320.0x₹3697 cr23.7%4.0%0.1x
2019-0220.3x₹3697 cr23.7%4.0%0.1x
2019-0121.7x₹3697 cr23.7%4.0%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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