अApnaFunda

IOL CHEMICALS & PHARMACEUTICAL (IOLCP)

Process Industries · Chemicals: Specialty · 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.71 / 100
Profitability 56Growth 57Balance 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.87 / 100
Price 92Earnings 78FII/DII 92

Passes these screensHigh Momentum

Share price

Closing priceAdjusted for splits and bonus issues.

₹202.95 latest close · +42.0% over the last 90 sessions

₹150₹175₹200₹225Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹150₹175₹200₹225Jul 3Sep 4Nov 9

₹202.95 month-end · +125.4% over 12 months

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

₹202.95 month-end · +123.6% over 3 years

₹50₹100₹150₹200Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹50₹100₹150₹200Nov '23May '25Nov '26

₹202.95 month-end · +212.5% since Jun '22

₹50₹100₹150₹200Jun '22May '23Mar '24Feb '25Dec '25Nov '26 ₹50₹100₹150₹200Jun '22Sep '24Nov '26

52-week range ₹67.19 to ₹224.00 · 1-year volatility 53.3%

Was the rally earned?

+125%share price, 1 yearEarnings and multiple

Both mattered.

  • Per-share earnings added 72 points and the multiple added 53 points (P/E 25.2x to 35.5x).
  • The share count barely moved.
Net profit growth: +72 pts. Points of the price return explained by net profit growing (or shrinking).+72 ptsNet profit growthP/E change: +53 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+53 ptsP/E changeShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0 ptsShare count changeShare price: +125%+125%Share priceNet profit growth: +72 pts. Points of the price return explained by net profit growing (or shrinking).+72ProfitP/E change: +53 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+53P/EShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0SharesShare price: +125%+125%Share price
Net profit growth+72 ptsNet profit rose about 60%, which lifts the price.
P/E change+53 ptsThe P/E rose from 25.2x to 35.5x, which lifts the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
+124%share price, 3 yearsMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 19.1x to 35.5x); per-share earnings added 29 points.
  • The share count barely moved.
Net profit growth: +29 pts. Points of the price return explained by net profit growing (or shrinking).+29 ptsNet profit growthP/E change: +95 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+95 ptsP/E changeShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0 ptsShare count changeShare price: +124%+124%Share priceNet profit growth: +29 pts. Points of the price return explained by net profit growing (or shrinking).+29ProfitP/E change: +95 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+95P/EShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0SharesShare price: +124%+124%Share price
Net profit growth+29 ptsNet profit rose about 21%, which lifts the price.
P/E change+95 ptsThe P/E rose from 19.1x to 35.5x, which lifts the price.
Share count change0 ptsShare count was little changed. More shares would count against 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 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 LINDE INDIA

How rough has the ride been?

Maximum drawdown-68.4%recovered 2026-08
1-year volatility53.3%annualised
Beta vs sector index1.393-year daily, correlation 0.50
Volume spikes4last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%2020202120222023202420252026−67.9% 0%−20%−40%−60%2020202220242026−67.9%
Largest drawdowns

-68.4% (2020-08 peak to 2023-03 low, recovered 2026-08)

-48.5% (2020-02 peak to 2020-03 low, recovered 2020-04)

-29.7% (2019-05 peak to 2019-12 low, recovered 2020-02)

Most recent volume spikes

2026-11-09: 9.4x the 50-day median, price +10.1% that day

2026-08-10: 5.8x the 50-day median, price -1.9% that day

2026-07-08: 11.5x the 50-day median, price +1.3% 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?

35.5xP/E todayNear its historic high
Against its own history96th percentile
CheapestMedian 18.7xDearest

Usual range 12.3x to 31.0x since 2022-06.

Against Process Industries35.5x vs 18.1x
This company
35.5x
Sector median
18.1x

96% above the Process Industries median.

9.9x20.4x30.8x41.3xJun '22May '23Apr '24Mar '25Feb '26Nov '269.9x20.4x30.8x41.3xJun '22Dec '23Jun '25Nov '26
P/E (this company)10th to 90th percentile of its own historyIts medianProcess Industries median

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

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P/S (this company)10th to 90th percentile of its own historyIts medianProcess Industries 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 Process Industries is valued

Where does it rank among Process Industries peers?

Each cell is the company's percentile rank among its Process Industries 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

  • ROCE49th▲ 10 pts vs a year ago
  • Op. margin63rd▲ 7 pts vs a year ago
  • Revenue growth74th▲ 33 pts vs a year ago
  • EPS growth80th▲ 45 pts vs a year ago
  • Debt/equity ↓80thflat vs a year ago
  • Cash cycle ↓73rd▲ 5 pts vs a year ago
  • P/E ↓22nd▼ 22 pts vs a year ago
  • 12M momentum98th▲ 13 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 Process Industries sector page Watch it move against Process Industries in the Observatory

What is the price implying?

~24%annual earnings growth implied by the price

At a P/E of 43.8x, the price would imply about 23.6%/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 Process Industries The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹202.95
P/E
35.5x
ROCE
11.0%
Market Cap
₹5946 cr
Revenue (TTM)
₹2523 cr
P/S
2.4x
P/B
3.3x
ROE
9.3%
Operating Margin
14.0%
Debt / Equity
0.1x
Promoter Holding
62.3%
12M Momentum
125.4%

52-week range

₹67.19₹224.00
87% of the way from its 52-week low to its high

Price risk

1Y volatility
53.3%
Beta vs sector
1-year daily
1.48

Balance sheet & cash

Interest cover
operating profit ÷ interest
17.1x
Cash from profit, 3Y
operating cash flow ÷ net profit
1.83x
Share count, 1Y
unchanged

Are profits backed by cash?

6 of 7checks within range1 near a threshold
Other income reliance5%Within range

Other income as a share of pre-tax profit (trailing twelve months): 4.9%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate26%Within range

Median quarterly effective tax rate over about 2.5 years: 26.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion1.83xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 1.83x (cash from operations ₹683 cr, net profit ₹373 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow2 of 5 yrsNear threshold

Fiscal years with positive free cash flow in the last 5: 2. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history+12 daysWithin range

Debtor days are above the median of the previous three fiscal years by 12 days (95 vs 83). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress8% of fixed assetsWithin range

Capital work-in-progress is 8% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days-5 days / 2 yrsWithin range

Days payable changed by -5 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 14.1 pts; FIIs added 2.7 pts.
  • The number of shareholders fell from 1.3 lakh to 1.2 lakh (-11%) between Dec 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupDec '23Jun '26Change
Promoters48.2%62.3%+14.1 pts
FIIs2.2%4.9%+2.7 pts
DIIs0.4%0.4%+0.1 pts
Public and others49.3%32.4%-16.9 pts

Number of shareholders

1.2 lakhshareholders-11% since Dec '23
1.2L1.2L1.3L1.4L Dec '23Jun '24Dec '24Jun '25Dec '25Jun '26
Dec '23: 1.3 lakh
Mar '24: 1.3 lakh
Jun '24: 1.3 lakh
Sep '24: 1.3 lakh
Dec '24: 1.3 lakh
Mar '25: 1.3 lakh
Jun '25: 1.3 lakh
Sep '25: 1.4 lakh
Dec '25: 1.3 lakh
Mar '26: 1.3 lakh
Jun '26: 1.2 lakh
1.2L1.2L1.3L1.4L Dec '23Dec '24Dec '25Jun '26
Dec '23: 1.3 lakh
Mar '24: 1.3 lakh
Jun '24: 1.3 lakh
Sep '24: 1.3 lakh
Dec '24: 1.3 lakh
Mar '25: 1.3 lakh
Jun '25: 1.3 lakh
Sep '25: 1.4 lakh
Dec '25: 1.3 lakh
Mar '26: 1.3 lakh
Jun '26: 1.2 lakh

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

−1.0%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 IOL CHEMICALS & PHARMACEUTICAL 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 −28% to +42% vs the market, against −3% for all non-financial companies in the same months.
  • The gap against the base rate (+1.7%, 80% range −15.7% to +9.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
IFGLEXPOR · Nov 2023: −55.4% vs market
ORCHPHARMA · Oct 2024: −51.4% vs market
CHEMFAB · Oct 2024: −45.2% vs market
SUBROS · Oct 2025: −44.0% vs market
BBL · Aug 2024: −40.2% vs market
MINDTECK · Dec 2021: −37.7% vs market
NIITLTD · Apr 2022: −36.3% vs market
ADSL · Dec 2021: −36.3% vs market
PRECAM · Aug 2023: −36.1% vs market
RAILTEL · Feb 2024: −34.7% vs market
STERTOOLS · Feb 2023: −29.6% vs market
FSL · May 2025: −29.3% vs market
DATAMATICS · Aug 2025: −28.1% vs market
TIMETECHNO · Dec 2024: −27.8% vs market
DBCORP · Oct 2023: −22.8% vs market
SANGHVIMOV · Oct 2023: −20.5% vs market
TCI · Dec 2021: −20.0% vs market
AEGISLOG · Feb 2023: −19.1% vs market
WABAG · Mar 2025: −18.2% vs market
JINDRILL · Nov 2023: −18.0% vs market
WINDLAS · Apr 2025: −17.3% vs market
JTEKTINDIA · Dec 2022: −17.2% vs market
TTKHLTCARE · Apr 2023: −15.4% vs market
SUDARSCHEM · Jan 2025: −14.8% vs market
INFOBEAN · Aug 2025: −2.2% vs market
KIRLOSBROS · May 2024: +0.3% vs market
LUMAXTECH · Apr 2023: +3.6% vs market
FIEMIND · Jul 2022: +3.6% vs market
ZENSARTECH · Dec 2023: +4.7% vs market
AVTNPL · Jun 2020: +9.2% vs market
ONMOBILE · Dec 2020: +11.5% vs market
EPL · Jan 2020: +13.5% vs market
BORORENEW · Jun 2020: +23.3% vs market
TDPOWERSYS · Mar 2023: +25.8% vs market
TRIDENT · Sep 2021: +29.7% vs market
KOPRAN · Apr 2021: +34.0% vs market
MANALIPETC · Apr 2021: +35.1% vs market
USHAMART · Jan 2023: +43.9% vs market
GALLANTT · Jun 2024: +45.6% vs market
GRSE · Aug 2023: +50.4% vs market
HSCL · Dec 2023: +60.7% vs market
SHRIPISTON · May 2023: +71.8% vs market
ELECON · Jul 2022: +82.3% vs market
KPITTECH · Jun 2021: +99.2% vs market
MASTEK · Oct 2020: +100.6% vs market
MAZDOCK · Jan 2023: +107.7% vs market
ACE · May 2023: +111.3% vs market
NEULANDLAB · Nov 2023: +136.4% vs market
HBLENGINE · Nov 2022: +174.6% vs market
SAREGAMA · Feb 2021: +206.3% vs market
Similar setups −1.0%All companies −2.7%← 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
−1.0%
All companies' median
−2.7%
Beat the market
50% vs 47%

50 past situations · 50 companies · 34 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
HBLENGINE
Producer Manufacturing
Nov 2022 34x13% +112%−4% +175%
TDPOWERSYS
Producer Manufacturing
Mar 2023 35x16% +130%−7% +26%
BORORENEW
Process Industries
Jun 2020 23x10% +132%−6% +23%
DBCORP
Consumer Services
Oct 2023 31x12% +166%−6% −23%
GALLANTT
Non-Energy Minerals
Jun 2024 38x12% +508%−1% +46%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
MANALIPETC
Process Industries
Apr 2021 29x14% +398%−3% +35%
DATAMATICS
Technology Services
Aug 2025 29x15% +46%−7% −28%
RAILTEL
Communications
Feb 2024 67x— +310%−5% −35%
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: P/S, P/E and drawdown from 12-month high. 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 IOL CHEMICALS & PHARMACEUTICAL. 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.

Consumer Non-Durables
68%similar
ROCEEPS growth
Producer Manufacturing
61%similar
operating marginpromoter holding
Producer Manufacturing
59%similar
debt/equityEPS growth
GREAVES COTTONGREAVESCOT
Producer Manufacturing
57%similar
market capEPS growth
HEGHEG
Producer Manufacturing
57%similar
revenuerevenue growth
Process Industries
63%similar
P/Erevenue growth
Process Industries
59%similar
debt/equityrevenue
BALAJI AMINESBALAMINES
Process Industries
55%similar
ROCEmarket cap

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

What changed?

30 events since Jun '24

  1. NovPriceVolume reached 9.4x its 50-day median on 2026-11-09; price +10.1% that day.
  2. OctPriceFell 26% from the Oct 2026 peak to the Oct 2026 low.
  3. SepPromoterPromoter holding rose 4.8 pts to 62.3% (largest rise since 2026-06).
  4. SepInstitutionsFII + DII holding rose 3.6 pts over 1 quarter to 5.3%.
  5. SepPeer rankMoved into the top quartile of Process Industries on EPS growth (from the 2nd quartile).
  6. AugPriceRegained the 2020-08 peak, 41 months after the low.
  7. JulPriceVolume reached 14.9x its 50-day median on 2026-07-07; price +14.2% that day.
  8. JunPromoterPromoter holding rose 4.9 pts to 57.5%.
Show 22 earlier events
  1. MayValuationP/E crossed above the 90th percentile of its own history to date (32.7x).
  2. MayPriceVolume reached 15.2x its 50-day median on 2026-05-11; price +12.3% that day.
  3. MarResultsRevenue (TTM) reached a new high of ₹2,228 cr.
  4. MarPriceVolume reached 8.2x its 50-day median on 2026-03-24; price +7.8% that day.
  5. DecResultsYear-on-year EPS growth turned positive.
  6. DecPeer rankMoved into the 2nd quartile of Process Industries on EPS growth (from the 3rd quartile).
  7. NovPriceVolume reached 13.9x its 50-day median on 2025-11-12; price +10.9% that day.
  8. SepPeer rankMoved into the 3rd quartile of Process Industries on EPS growth (from the bottom quartile).
  9. SepPriceVolume reached 51.4x its 50-day median on 2025-09-09; price +5.4% that day.
  10. JunPeer rankSlipped to the 3rd quartile of Process Industries on ROCE (from the 2nd quartile).
  11. MayValuationP/E crossed above the 90th percentile of its own history to date (26.6x).
  12. MayPriceVolume reached 5.7x its 50-day median on 2025-05-21; price +9.0% that day.
  13. MarPromoterPromoter holding rose 4.4 pts to 52.6%.
  14. JanPriceVolume reached 6.8x its 50-day median on 2025-01-06; price +0.9% that day.
  15. DecValuationP/E crossed above the 90th percentile of its own history to date (24.0x).
  16. DecPeer rankSlipped to the 3rd quartile of Process Industries on operating margin (from the 2nd quartile).
  17. DecPriceVolume reached 25.5x its 50-day median on 2024-12-19; price +8.6% that day.
  18. OctPeer rankMoved into the 2nd quartile of Process Industries on operating margin (from the 3rd quartile).
  19. SepPeer rankSlipped to the 3rd quartile of Process Industries on EPS growth (from the 2nd quartile).
  20. SepPriceVolume reached 32.0x its 50-day median on 2024-09-12; price +11.5% that day.
  21. AugValuationP/E crossed above the 90th percentile of its own history to date (19.3x).
  22. JunPeer rankMoved into the 2nd quartile of Process Industries on EPS growth (from the 3rd quartile).

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 history54 months · 2022-06 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1135.5x₹2523 cr9.3%11.0%0.1x
2026-1031.1x₹2523 cr9.3%11.0%0.1x
2026-0936.2x₹2523 cr9.3%11.0%0.1x
2026-0841.3x₹2319 cr7.7%11.0%0.1x
2026-0731.2x₹2319 cr7.7%11.0%0.1x
2026-0631.0x₹2319 cr7.7%11.0%0.1x
2026-0532.7x₹2228 cr6.9%9.0%0.1x
2026-0423.9x₹2228 cr6.9%9.0%0.1x
2026-0318.4x₹2228 cr6.9%9.0%0.1x
2026-0218.5x₹2171 cr6.9%9.0%0.1x
2026-0118.7x₹2171 cr6.9%9.0%0.1x
2025-1220.8x₹2171 cr6.9%9.0%0.1x
2025-1125.2x₹2129 cr6.2%9.0%0.1x
2025-1025.8x₹2129 cr6.2%9.0%0.1x
2025-0928.7x₹2129 cr6.2%9.0%0.1x
2025-0826.4x₹2079 cr6.0%9.0%0.1x
2025-0730.0x₹2079 cr6.0%9.0%0.1x
2025-0628.3x₹2079 cr6.0%9.0%0.1x
2025-0526.6x₹2055 cr6.1%12.0%0.0x
2025-0419.6x₹2055 cr6.1%12.0%0.0x
2025-0318.5x₹2055 cr6.1%12.0%0.0x
2025-0217.9x₹2052 cr6.2%12.0%0.0x
2025-0121.2x₹2052 cr6.2%12.0%0.0x
2024-1224.0x₹2052 cr6.2%12.0%0.0x
2024-1118.3x₹2071 cr7.4%12.0%0.0x
2024-1019.9x₹2071 cr7.4%12.0%0.0x
2024-0923.5x₹2071 cr7.4%12.0%0.0x
2024-0819.3x₹2133 cr8.3%12.0%0.0x
2024-0718.9x₹2133 cr8.3%12.0%0.0x
2024-0617.6x₹2133 cr8.3%12.0%0.0x
2024-0515.2x₹2217 cr9.2%14.0%0.1x
2024-0416.6x₹2217 cr9.2%14.0%0.1x
2024-0315.3x₹2217 cr9.2%14.0%0.1x
2024-0217.1x₹2217 cr9.2%14.0%0.1x
2024-0118.7x₹2217 cr9.2%14.0%0.1x
2023-1219.5x₹2217 cr9.2%14.0%0.1x
2023-1119.1x₹2217 cr9.2%14.0%0.1x
2023-1017.7x₹2217 cr9.2%14.0%0.1x
2023-0920.1x₹2217 cr9.2%14.0%0.1x
2023-0818.3x₹2217 cr9.2%14.0%0.1x
2023-0716.7x₹2217 cr9.2%14.0%0.1x
2023-0617.6x₹2217 cr9.2%14.0%0.1x
2023-0515.8x₹2184 cr12.1%—0.0x
2023-0414.0x₹2184 cr12.1%—0.0x
2023-039.9x₹2184 cr12.1%—0.0x
2023-0210.0x₹2184 cr12.1%—0.0x
2023-0111.3x₹2184 cr12.1%—0.0x
2022-1213.1x₹2184 cr12.1%—0.0x
2022-1112.0x₹2184 cr12.1%—0.0x
2022-1012.6x₹2184 cr12.1%—0.0x
2022-0912.3x₹2184 cr12.1%—0.0x
2022-0812.6x₹2184 cr12.1%—0.0x
2022-0712.5x₹2184 cr12.1%—0.0x
2022-0611.4x₹2184 cr12.1%—0.0x

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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