अApnaFunda

KAY CEE ENERGY AND INFRA LTD (KCEIL)

Industrial Services

Quality scoreHow the business itself ranks against its sector peers on profitability, 3-year growth and leverage. 50 is the middle of the sector.51 / 100
Profitability 74Balance sheet 28

Passes these screens: Value Pick

Share Price
₹72.70
P/E
4.7x
ROCE
22.0%
Market Cap
₹89 cr
Revenue (TTM)
₹163 cr
P/S
0.5x
P/B
0.9x
ROE
18.2%
Debt / Equity
0.7x
Promoter Holding
63.4%
12M Momentum
-65.2%

52-week range

₹71.20₹252.00
1% of the way from its 52-week low to its high

Price risk

1Y volatility
56.8%
Beta vs sector
1-year daily
0.79

Balance sheet & cash

Interest cover
operating profit ÷ interest
4.1x
Share count, 1Y
+9.1%

Was the rally earned?

-65%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 13.4x to 4.7x); per-share earnings took off 1 point.
  • The share count rose 12%.
1 year Net profit growth: +6 pts. Points of the price return explained by net profit growing (or shrinking).P/E change: -64 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.-64 ptsShare count change: -7 pts. Points of the price return explained by the share count changing. More shares count against the price. -65% 1 year Net profit growth: +6 pts. Points of the price return explained by net profit growing (or shrinking).P/E change: -64 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.-64 ptsShare count change: -7 pts. Points of the price return explained by the share count changing. More shares count against the price. -65%
Net profit growth+6 ptsNet profit rose about 11%, which lifts the price.
P/E change-64 ptsThe P/E fell from 13.4x to 4.7x, which lowers the price.
Share count change-7 ptsShare count rose 12%, 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.

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 LARSEN AND TOUBRO

What is the price implying?

~0%annual earnings growth implied by the price

At a P/E of 4.7x, the price would imply about −0.2%/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 Industrial Services The market-wide Expectations lists

What changed?

  1. Oct '26Fell 82% from the Jul 2024 peak to the Oct 2026 low.
  2. Sep '26Slipped to the 2nd quartile of Industrial Services on ROCE (from the top quartile).
  3. Jun '26Revenue (TTM) reached a new high of ₹163 cr.
  4. Jun '26Share count is up 9.1% over 12 months.
  5. Sep '25Promoter holding fell 7.3 pts to 63.1%.
  6. Sep '25FII + DII holding rose 12.3 pts over 2 quarters to 12.6%.
  7. Jul '24Regained the 2024-02 peak, 4 months after the low.
  8. Mar '24Fell 56% from the Feb 2024 peak to the Mar 2024 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

Are profits backed by cash?

1 of 1 checks are within range.
Tap a check to see how it is measured.

Other income reliance4%Within range

Other income as a share of pre-tax profit (trailing twelve months): 4.0%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion—Not enough data

Not enough reported data to compute this.

Free cash flow—Not enough data

Not enough reported data to compute this.

Receivable days vs history—Not enough data

Not enough reported data to compute this.

Capital work in progress—Not enough data

Not enough reported data to compute this.

Payable days—Not enough data

Not enough reported data to compute this.

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 trimmed 6.9 pts.
  • The number of shareholders rose from 683 to 2,487 (+264%) between Mar 2024 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupMar '24Mar '26Change
Promoters70.3%63.4%-6.9 pts
FIIs0.0%0.0%0.0 pts
DIIs1.4%1.8%+0.4 pts
Public and others28.3%34.8%+6.4 pts

Number of shareholders

2,487shareholders+264% since Mar '24
6831k2k3k Mar '24Sep '24Mar '25Jun '25Sep '25Mar '26
Mar '24: 683
Sep '24: 2,029
Mar '25: 1,985
Jun '25: 1,939
Sep '25: 2,611
Mar '26: 2,487
6831k2k3k Mar '24Mar '25Sep '25Mar '26
Mar '24: 683
Sep '24: 2,029
Mar '25: 1,985
Jun '25: 1,939
Sep '25: 2,611
Mar '26: 2,487

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

How rough has the ride been?

Maximum drawdown-82.0%not yet recovered
1-year volatility56.8%annualised

Monthly share price

₹73₹170₹268₹366 Jun '25Oct '25Feb '26Jun '26Oct '26
2025-06: ₹343.80
2025-07: ₹366.05
2025-08: ₹283.70
2025-09: ₹214.35
2025-10: ₹209.15
2025-11: ₹177.50
2025-12: ₹142.30
2026-01: ₹116.85
2026-02: ₹122.25
2026-03: ₹93.75
2026-04: ₹126.60
2026-05: ₹98.50
2026-06: ₹80.25
2026-07: ₹87.45
2026-08: ₹81.60
2026-09: ₹82.50
2026-10: ₹72.70
₹73₹170₹268₹366 Jun '25Dec '25Jun '26Oct '26
2025-06: ₹343.80
2025-07: ₹366.05
2025-08: ₹283.70
2025-09: ₹214.35
2025-10: ₹209.15
2025-11: ₹177.50
2025-12: ₹142.30
2026-01: ₹116.85
2026-02: ₹122.25
2026-03: ₹93.75
2026-04: ₹126.60
2026-05: ₹98.50
2026-06: ₹80.25
2026-07: ₹87.45
2026-08: ₹81.60
2026-09: ₹82.50
2026-10: ₹72.70

Last 90 trading days

₹73₹80₹87₹94 Jun 22Jul 17Aug 12Sep 8Oct 6Oct 30
2026-06-22: ₹84.25
2026-06-24: ₹79.85
2026-06-29: ₹76.45
2026-07-01: ₹84.25
2026-07-03: ₹92.85
2026-07-07: ₹90.15
2026-07-09: ₹88.50
2026-07-13: ₹88.05
2026-07-15: ₹89.85
2026-07-17: ₹93.30
2026-07-21: ₹90.75
2026-07-23: ₹88.50
2026-07-27: ₹92.65
2026-07-29: ₹89.75
2026-07-31: ₹87.45
2026-08-04: ₹86.85
2026-08-06: ₹83.95
2026-08-10: ₹84.00
2026-08-12: ₹80.90
2026-08-14: ₹81.15
2026-08-18: ₹77.65
2026-08-20: ₹75.85
2026-08-24: ₹82.55
2026-08-26: ₹83.00
2026-08-31: ₹81.60
2026-09-02: ₹80.55
2026-09-04: ₹79.10
2026-09-08: ₹77.10
2026-09-10: ₹78.10
2026-09-15: ₹75.30
2026-09-17: ₹76.50
2026-09-21: ₹79.90
2026-09-23: ₹80.45
2026-09-25: ₹78.75
2026-09-29: ₹80.50
2026-10-01: ₹79.40
2026-10-06: ₹77.25
2026-10-08: ₹76.75
2026-10-12: ₹77.75
2026-10-14: ₹76.45
2026-10-16: ₹76.45
2026-10-21: ₹76.55
2026-10-23: ₹73.80
2026-10-27: ₹74.00
2026-10-29: ₹73.90
2026-10-30: ₹72.70
₹73₹80₹87₹94 Jun 22Aug 4Sep 17Oct 30
2026-06-22: ₹84.25
2026-06-24: ₹79.85
2026-06-29: ₹76.45
2026-07-01: ₹84.25
2026-07-03: ₹92.85
2026-07-07: ₹90.15
2026-07-09: ₹88.50
2026-07-13: ₹88.05
2026-07-15: ₹89.85
2026-07-17: ₹93.30
2026-07-21: ₹90.75
2026-07-23: ₹88.50
2026-07-27: ₹92.65
2026-07-29: ₹89.75
2026-07-31: ₹87.45
2026-08-04: ₹86.85
2026-08-06: ₹83.95
2026-08-10: ₹84.00
2026-08-12: ₹80.90
2026-08-14: ₹81.15
2026-08-18: ₹77.65
2026-08-20: ₹75.85
2026-08-24: ₹82.55
2026-08-26: ₹83.00
2026-08-31: ₹81.60
2026-09-02: ₹80.55
2026-09-04: ₹79.10
2026-09-08: ₹77.10
2026-09-10: ₹78.10
2026-09-15: ₹75.30
2026-09-17: ₹76.50
2026-09-21: ₹79.90
2026-09-23: ₹80.45
2026-09-25: ₹78.75
2026-09-29: ₹80.50
2026-10-01: ₹79.40
2026-10-06: ₹77.25
2026-10-08: ₹76.75
2026-10-12: ₹77.75
2026-10-14: ₹76.45
2026-10-16: ₹76.45
2026-10-21: ₹76.55
2026-10-23: ₹73.80
2026-10-27: ₹74.00
2026-10-29: ₹73.90
2026-10-30: ₹72.70

Drawdown from peak

0% -41% -82% Jan '24Jun '25Oct '26 0% -41% -82% Jan '24Jun '25Oct '26
Largest drawdowns

-82.0% (2024-07 peak to 2026-10 low, not yet recovered)

-56.2% (2024-02 peak to 2024-03 low, recovered 2024-07)

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).

ROCE
Revenue growth
EPS growth
Debt/equity ↓
Cash cycle ↓
P/E ↓
12M momentum
Nov '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Oct '26
Lower rank Higher rank

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

What happened next to similar setups

−13.4%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 KAY CEE ENERGY AND INFRA LTD today on valuation, return on capital, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −27% to +18% vs the market, against −5% for all non-financial companies in the same months.
  • The gap against the base rate (−8.9%, 80% range −19.1% to +6.0%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PPSL · Oct 2025: −77.0% vs market
BEWLTD · Mar 2025: −54.4% vs market
AVG · Feb 2025: −50.7% vs market
DEEM · Feb 2025: −46.8% vs market
MANORG · Mar 2023: −44.9% vs market
ZEELEARN · Apr 2021: −35.1% vs market
RANASUG · Apr 2023: −34.5% vs market
VLINFRA · Aug 2025: −34.4% vs market
COSMOFIRST · Apr 2023: −34.2% vs market
UGARSUGAR · Mar 2024: −32.3% vs market
FOODSIN · Aug 2024: −29.2% vs market
SHEMAROO · Mar 2020: −27.4% vs market
GEEKAYWIRE · Aug 2025: −27.2% vs market
ORIENTPPR · Apr 2025: −26.8% vs market
INDTERRAIN · May 2020: −26.3% vs market
ARCHIES · Feb 2025: −25.3% vs market
UTTAMSUGAR · Nov 2024: −25.2% vs market
TBI · Aug 2025: −23.6% vs market
RAMAPHO · Dec 2023: −23.6% vs market
UFO · May 2020: −22.8% vs market
K2INFRA · Jul 2025: −21.6% vs market
MVGJL · Nov 2024: −21.2% vs market
NAHARINDUS · Apr 2023: −19.3% vs market
LAMBODHARA · Apr 2024: −18.3% vs market
KUANTUM · Aug 2024: −15.4% vs market
SCPL · Jan 2024: −11.4% vs market
ASHALOG · Aug 2025: −6.4% vs market
VISHWARAJ · Aug 2022: −2.8% vs market
MHHL · Aug 2024: +0.9% vs market
GINNIFILA · Apr 2023: +5.5% vs market
DCMNVL · Oct 2022: +5.7% vs market
SHREYANIND · Sep 2020: +8.2% vs market
RUCHIRA · Sep 2020: +8.3% vs market
PENIND · Nov 2020: +8.6% vs market
RKEC · May 2022: +9.6% vs market
KAMATHOTEL · Jul 2024: +12.9% vs market
SADHAV · Jun 2025: +13.6% vs market
NAGREEKEXP · Apr 2023: +19.4% vs market
PRECOT · Jan 2023: +28.7% vs market
KELLTONTEC · Oct 2021: +29.9% vs market
AAKASH · Sep 2023: +39.2% vs market
BHARATGEAR · Feb 2020: +45.4% vs market
SKMEGGPROD · Aug 2024: +46.8% vs market
POWERMECH · Jan 2021: +55.8% vs market
GRMOVER · Mar 2024: +116.3% vs market
TIRUPATIFL · Aug 2023: +132.2% vs market
WANBURY · Jan 2023: +141.9% vs market
EVEREADY · Jan 2020: +192.9% vs market
TRANSTEEL · Nov 2024: +195.5% vs market
SPAL · Jul 2020: +202.1% vs market
Similar setups −13.4%All companies −4.5%← 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 · 6 beyond the range shown, drawn at the edge

Similar setups' median
−13.4%
All companies' median
−4.5%
Beat the market
44% vs 45%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
VLINFRA
Industrial Services
Aug 2025 8x27% −61%−67% −34%
ZEELEARN
Consumer Services
Apr 2021 8x14% −26%−47% −35%
SCPL
Consumer Non-Durables
Jan 2024 17x23% −38%−52% −11%
LAMBODHARA
Process Industries
Apr 2024 9x18% −28%−30% −18%
POWERMECH
Industrial Services
Jan 2021 5x18% −40%−43% +56%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
VISHWARAJ
Process Industries
Aug 2022 5x13% −43%−61% −3%
TRANSTEEL
Producer Manufacturing
Nov 2024 8x23% −52%−57% +196%
RKEC
Industrial Services
May 2022 9x15% −38%−60% +10%
How reliable is this?

Matched on P/E, P/S, ROCE, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: 12-month momentum, P/S and interest cover. Not used (unavailable for this company): operating margin. 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 KAY CEE ENERGY AND INFRA 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 2026-10-30. 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: 97,430 company-months from 2000 companies; financial: 5,632 company-months from 106 companies. 2240 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.
Monthly history (17 months)
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-104.7x₹163 cr18.2%22.0%0.7x
2026-095.4x₹163 cr18.4%22.0%0.7x
2026-085.3x₹163 cr18.4%22.0%0.7x
2026-075.7x₹163 cr18.4%22.0%0.7x
2026-065.2x₹163 cr18.4%22.0%0.7x
2026-056.3x₹153 cr27.4%—0.9x
2026-048.1x₹153 cr27.4%—0.9x
2026-036.0x₹153 cr27.4%—0.9x
2026-027.9x₹153 cr27.4%—0.9x
2026-017.5x₹153 cr27.4%—0.9x
2025-129.1x₹153 cr27.4%—0.9x
2025-1111.4x₹153 cr27.4%—0.9x
2025-1013.4x₹153 cr27.4%—0.9x
2025-0913.8x₹153 cr27.4%—0.9x
2025-0818.2x₹153 cr27.4%—0.9x
2025-0723.5x₹153 cr27.4%—0.9x
2025-0622.1x₹153 cr27.4%—0.9x

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.

Feedback