अApnaFunda

SUPREME INFRASTRUCTURE INDIA L (SUPREMEINF)

Industrial Services · Engineering & Construction · 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.20 / 100
Profitability 18Growth 22
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.45 / 100
Price 15FII/DII 75

Share price

Closing priceAdjusted for splits and bonus issues.

₹71.21 latest close · −15.0% over the last 90 sessions

₹60₹80Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹60₹80Jul 3Sep 4Nov 9

₹71.21 month-end · −24.6% over 12 months

₹60₹80Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹60₹80Nov '25May '26Nov '26

₹71.21 month-end · +93.8% over 3 years

₹50₹100Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹50₹100Nov '23May '25Nov '26

₹71.21 month-end · +282.8% since Jan '19

₹0₹50₹100Jan '19Jul '20Apr '22Oct '23May '25Nov '26 ₹0₹50₹100Jan '19Jan '23Nov '26

52-week range ₹45.29 to ₹99.46 · 1-year volatility 53.9%

How rough has the ride been?

Maximum drawdown-77.8%recovered 2022-01
1-year volatility53.9%annualised
Beta vs sector index0.303-year daily, correlation 0.14
Volume spikes9last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−25%−50%−75%2020202120222023202420252026−76.7% 0%−25%−50%−75%2020202220242026−76.7%
Largest drawdowns

-77.8% (2019-03 peak to 2019-12 low, recovered 2022-01)

-71.5% (2022-01 peak to 2022-05 low, recovered 2022-08)

-69.2% (2024-12 peak to 2026-10 low, not yet recovered)

Most recent volume spikes

2026-11-05: 5.2x the 50-day median, price -2.4% that day

2026-10-29: 8.7x the 50-day median, price +2.5% that day

2026-10-09: 9.5x the 50-day median, price +2.4% 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 Industrial Services peers?

Each cell is the company's percentile rank among its Industrial 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

  • ROCE4th▼ 8 pts vs a year ago
  • Op. margin18th▲ 14 pts vs a year ago
  • Revenue growth87th▲ 84 pts vs a year ago
  • Cash cycle ↓1stflat vs a year ago
  • 12M momentum50thflat vs a year ago

Rank history

ROCE
Op. margin
Revenue growth
Cash cycle ↓
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 Industrial Services sector page Watch it move against Industrial Services in the Observatory

Key figures

Share Priceclose 9 Nov
₹71.21
Market Cap
₹695 cr
Revenue (TTM)
₹82 cr
Operating Margin
5.0%
Promoter Holding
47.3%
12M Momentum
-24.6%

52-week range

₹45.29₹99.46
48% of the way from its 52-week low to its high

Price risk

1Y volatility
53.9%
Beta vs sector
1-year daily
0.60

Balance sheet & cash

Interest cover
operating profit ÷ interest
19.7x
Cash from profit, 3Y
operating cash flow ÷ net profit
-0.00x
low
Share count, 1Y
+200.0%

Per-share figures around a recent split, bonus issue or demerger may not yet be consistent.

Are profits backed by cash?

2 of 7checks within range5 beyond a threshold
Other income reliance105%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 105.4%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate0%Beyond threshold

Median quarterly effective tax rate over about 2.5 years: 0.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion0.00xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: 0.00x (cash from operations ₹-10 cr, net profit ₹3,195 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow1 of 5 yrsBeyond threshold

Fiscal years with positive free cash flow in the last 5: 1. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history+77 daysBeyond threshold

Debtor days are above the median of the previous three fiscal years by 77 days (4663 vs 4586). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress1% of fixed assetsWithin range

Capital work-in-progress is 1% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days-488 days / 2 yrsWithin range

Days payable changed by -488 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 2 years, promoters added 12.6 pts; FIIs trimmed 6.3 pts; DIIs added 6.2 pts.

Holdings, Jun '26

How each group changed

GroupDec '23Jun '26Change
Promoters34.7%47.3%+12.6 pts
FIIs9.3%3.0%-6.3 pts
DIIs0.0%6.2%+6.2 pts
Public and others56.0%43.5%-12.5 pts

Number of shareholders

8,181shareholders-1% since Dec '23
8k8k8k8k Dec '23Jun '24Dec '24Sep '25Jun '26
Dec '23: 8,244
Mar '24: 7,920
Jun '24: 7,665
Sep '24: 7,661
Dec '24: 8,185
Mar '25: 8,083
Sep '25: 8,117
Mar '26: 7,907
Jun '26: 8,181
8k8k8k8k Dec '23Sep '24Sep '25Jun '26
Dec '23: 8,244
Mar '24: 7,920
Jun '24: 7,665
Sep '24: 7,661
Dec '24: 8,185
Mar '25: 8,083
Sep '25: 8,117
Mar '26: 7,907
Jun '26: 8,181

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

Not enough comparable history to show analogs for this company yet.

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 Jan '22

  1. OctPriceFell 69% from the Dec 2024 peak to the Oct 2026 low.
  2. OctPriceVolume reached 9.5x its 50-day median on 2026-10-09; price +2.4% that day.
  3. JulPriceVolume reached 28.9x its 50-day median on 2026-07-01; price +1.6% that day.
  4. JunPromoterPromoter holding rose 12.3 pts to 47.0%.
  5. JunPeer rankSlipped to the bottom quartile of Industrial Services on operating margin (from the top quartile).
  6. JunSharesShare count is up 200.0% over 12 months.
  7. JunPriceVolume reached 44.5x its 50-day median on 2026-06-11; price +10.4% that day.
  8. MarPeer rankMoved into the top quartile of Industrial Services on operating margin (from the bottom quartile).
Show 22 earlier events
  1. JanPriceVolume reached 13.8x its 50-day median on 2026-01-28; price -0.9% that day.
  2. DecPriceVolume reached 8.2x its 50-day median on 2025-12-01; price -1.7% that day.
  3. JulPriceVolume reached 6.7x its 50-day median on 2025-07-04; price +3.0% that day.
  4. MayPriceVolume reached 12.3x its 50-day median on 2025-05-21; price -2.8% that day.
  5. MarPriceVolume reached 12.1x its 50-day median on 2025-03-07; price +2.0% that day.
  6. OctPriceRegained the 2024-05 peak, 1 month after the low.
  7. OctPriceVolume reached 41.8x its 50-day median on 2024-10-01; price +2.0% that day.
  8. SepPriceFell 44% from the May 2024 peak to the Sep 2024 low.
  9. SepPriceVolume reached 69.2x its 50-day median on 2024-09-27; price +1.9% that day.
  10. MayPriceVolume reached 9.2x its 50-day median on 2024-05-13; price +5.0% that day.
  11. JanPriceVolume reached 6.1x its 50-day median on 2024-01-08; price +2.0% that day.
  12. DecPriceRegained the 2022-09 peak, 9 months after the low.
  13. DecPriceVolume reached 10.6x its 50-day median on 2023-12-13; price +1.6% that day.
  14. JunPriceVolume reached 7.0x its 50-day median on 2023-06-26; price -2.5% that day.
  15. MarPriceFell 48% from the Sep 2022 peak to the Mar 2023 low.
  16. MarPriceVolume reached 7.6x its 50-day median on 2023-03-24; price -1.6% that day.
  17. AugPriceRegained the 2022-01 peak, 3 months after the low.
  18. JulPriceVolume reached 17.1x its 50-day median on 2022-07-04; price -4.8% that day.
  19. MayPriceFell 72% from the Jan 2022 peak to the May 2022 low.
  20. AprPriceVolume reached 19.1x its 50-day median on 2022-04-01; price -4.4% that day.
  21. MarPriceVolume reached 9.9x its 50-day median on 2022-03-31; price -4.9% that day.
  22. JanPriceRegained the 2019-03 peak, 25 months after the 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
MonthRevenue (TTM)ROCE
2026-11₹82 cr—
2026-10₹82 cr—
2026-09₹82 cr—
2026-08₹66 cr—
2026-07₹66 cr—
2026-06₹66 cr—
2026-05₹74 cr—
2026-04₹74 cr—
2026-03₹74 cr—
2026-02₹51 cr—
2026-01₹51 cr—
2025-12₹51 cr—
2025-11₹47 cr—
2025-10₹47 cr—
2025-09₹47 cr—
2025-08₹66 cr—
2025-07₹66 cr—
2025-06₹66 cr—
2025-05₹73 cr—
2025-04₹73 cr—
2025-03₹73 cr—
2025-02₹75 cr—
2025-01₹75 cr—
2024-12₹75 cr—
2024-11₹82 cr—
2024-10₹82 cr—
2024-09₹82 cr—
2024-08₹63 cr—
2024-07₹63 cr—
2024-06₹63 cr—
2024-05₹97 cr-8.0%
2024-04₹97 cr-8.0%
2024-03₹97 cr-8.0%
2024-02₹97 cr-8.0%
2024-01₹97 cr-8.0%
2023-12₹97 cr-8.0%
2023-11₹97 cr-8.0%
2023-10₹97 cr-8.0%
2023-09₹97 cr-8.0%
2023-08₹97 cr-8.0%
2023-07₹97 cr-8.0%
2023-06₹97 cr-8.0%
2023-05₹136 cr-2.0%
2023-04₹136 cr-2.0%
2023-03₹136 cr-2.0%
2023-02₹136 cr-2.0%
2023-01₹136 cr-2.0%
2022-12₹136 cr-2.0%
2022-11₹136 cr-2.0%
2022-10₹136 cr-2.0%
2022-09₹136 cr-2.0%
2022-08₹136 cr-2.0%
2022-07₹136 cr-2.0%
2022-06₹136 cr-2.0%
2022-05₹263 cr-3.0%
2022-04₹263 cr-3.0%
2022-03₹263 cr-3.0%
2022-02₹263 cr-3.0%
2022-01₹263 cr-3.0%
2021-12₹263 cr-3.0%
2021-11₹263 cr-3.0%
2021-10——
2021-09——
2021-08₹263 cr-3.0%
2021-07₹263 cr-3.0%
2021-06₹263 cr-3.0%
2021-05₹321 cr-7.0%
2021-04₹321 cr-7.0%
2021-03₹321 cr-7.0%
2021-02₹321 cr-7.0%
2021-01₹321 cr-7.0%
2020-12₹321 cr-7.0%
2020-11₹321 cr-7.0%
2020-10₹321 cr-7.0%
2020-09₹321 cr-7.0%
2020-08₹321 cr-7.0%
2020-07₹321 cr-7.0%
2020-06₹321 cr-7.0%
2020-05₹677 cr-3.0%
2020-04₹677 cr-3.0%
2020-03₹677 cr-3.0%
2020-02₹677 cr-3.0%
2020-01₹677 cr-3.0%
2019-12₹677 cr-3.0%
2019-11₹677 cr-3.0%
2019-10₹677 cr-3.0%
2019-09₹677 cr-3.0%
2019-08₹677 cr-3.0%
2019-07₹677 cr-3.0%
2019-06₹677 cr-3.0%
2019-05₹1006 cr-2.0%
2019-04₹1006 cr-2.0%
2019-03₹1006 cr-2.0%
2019-02₹1006 cr-2.0%
2019-01₹1006 cr-2.0%

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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