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CHEVIOT COLTD (CHEVIOT)

Process Industries · Textiles · 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.68 / 100
Growth 36Balance 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.54 / 100
Price 55FII/DII 52
Compare withVARDHMAN TEXTILES LIMTEDARVINDTRIDENT

Share price

Closing priceAdjusted for splits and bonus issues.

₹1,096.3 latest close · −1.0% over the last 90 sessions

₹1,050₹1,100₹1,150₹1,200Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹1,050₹1,100₹1,150₹1,200Jul 3Sep 4Nov 9

₹1,096.3 month-end · +4.0% over 12 months

₹900₹1,000₹1,100₹1,200Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹900₹1,000₹1,100₹1,200Nov '25May '26Nov '26

₹1,096.3 month-end · −8.4% over 3 years

₹1,000₹1,200₹1,400Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹1,000₹1,200₹1,400Nov '23May '25Nov '26

₹1,096.3 month-end · −6.3% since Jun '22

₹1,000₹1,200₹1,400Jun '22May '23Mar '24Feb '25Dec '25Nov '26 ₹1,000₹1,200₹1,400Jun '22Sep '24Nov '26

52-week range ₹878.80 to ₹1341.10 · 1-year volatility 27.5%

Was the rally earned?

+4%share price, 1 yearRoughly flat
  • The share price was roughly flat over 1 year (+4%).
  • The share count barely moved.
P/E change: +4 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+4 ptsP/E changeShare price: +4%+4%Share priceP/E change: +4 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+4P/EShare price: +4%+4%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change+4 ptsThe P/E rose from 56.0x to 58.2x, which lifts the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
-8%share price, 3 yearsMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 63.5x to 58.2x); per-share earnings added 0 points.
  • The share count barely moved.
P/E change: −8 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−8 ptsP/E changeShare price: −8%−8%Share priceP/E change: −8 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−8P/EShare price: −8%−8%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-8 ptsThe P/E fell from 63.5x to 58.2x, which lowers 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 VARDHMAN TEXTILES LIMTED

How rough has the ride been?

Maximum drawdown-42.4%not yet recovered
1-year volatility27.5%annualised
Beta vs sector index0.723-year daily, correlation 0.40
Volume spikes4last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%2023202420252026−39.9% 0%−20%−40%2023202420252026−39.9%
Largest drawdowns

-42.4% (2024-06 peak to 2026-03 low, not yet recovered)

-33.8% (2022-08 peak to 2023-03 low, recovered 2023-12)

-17.8% (2023-12 peak to 2024-03 low, recovered 2024-05)

Most recent volume spikes

2026-09-07: 9.4x the 50-day median, price +5.0% that day

2026-08-06: 8.3x the 50-day median, price -3.5% that day

2026-08-05: 59.5x the 50-day median, price +8.0% 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).

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

  • Revenue growth27th▼ 4 pts vs a year ago
  • Debt/equity ↓85thflat vs a year ago
  • Cash cycle ↓48th▲ 3 pts vs a year ago
  • 12M momentum67th▲ 5 pts vs a year ago

Rank history

Revenue growth
Debt/equity ↓
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 Process Industries sector page Watch it move against Process Industries in the Observatory

Key figures

Share Priceclose 9 Nov
₹1096.30
Market Cap
₹640 cr
Revenue (TTM)
₹122 cr
P/S
5.2x
P/B
5.5x
ROE
9.4%
Debt / Equity
0.0x
Promoter Holding
74.9%
12M Momentum
4.0%

52-week range

₹878.80₹1341.10
47% of the way from its 52-week low to its high

Price risk

1Y volatility
27.5%
Beta vs sector
1-year daily
0.67

Balance sheet & cash

Debt service
no meaningful debt
Share count, 1Y
unchanged

Are profits backed by cash?

2 of 3checks within range1 near a threshold
Other income reliance17%Near threshold

Other income as a share of pre-tax profit (trailing twelve months): 16.7%. 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 history0 daysWithin range

Debtor days are below the median of the previous three fiscal years by 0 days (39 vs 39). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress—Not enough data

Not enough reported data to compute this.

Payable days0 days / 2 yrsWithin range

Days payable changed by 0 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, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders rose from 15,437 to 18,729 (+21%) between Dec 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupDec '23Jun '26Change
Promoters74.8%74.9%0.0 pts
FIIs0.3%0.3%0.0 pts
DIIs0.1%0.2%0.0 pts
Public and others24.8%24.6%-0.1 pts

Number of shareholders

18,729shareholders+21% since Dec '23
15k31k47k62k Dec '23Jun '24Dec '24Jun '25Jun '26
Dec '23: 15,437
Mar '24: 14,968
Jun '24: 62,440
Sep '24: 22,500
Dec '24: 22,414
Mar '25: 21,663
Jun '25: 21,279
Sep '25: 20,910
Jun '26: 18,729
 15k31k47k62k Dec '23Sep '24Jun '25Jun '26
Dec '23: 15,437
Mar '24: 14,968
Jun '24: 62,440
Sep '24: 22,500
Dec '24: 22,414
Mar '25: 21,663
Jun '25: 21,279
Sep '25: 20,910
Jun '26: 18,729

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

−0.5%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 CHEVIOT COLTD today on valuation, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −23% to +19% vs the market, against −2% for all non-financial companies in the same months.
  • The gap against the base rate (+1.2%, 80% range −13.5% to +8.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−60%−40%−20%0%+20%+40%+60%+80%+100%
ORBTEXP · Mar 2020: −47.5% vs market
XPROINDIA · Dec 2024: −39.5% vs market
EMKAYTOOLS · Jan 2024: −35.5% vs market
VIDHIING · Apr 2025: −35.1% vs market
WONDERLA · Jan 2020: −31.7% vs market
CHEMCON · Jul 2025: −29.5% vs market
BAJAJCON · Oct 2023: −29.3% vs market
ADVENZYMES · Apr 2024: −28.7% vs market
PGHL · Apr 2023: −28.7% vs market
AMRUTANJAN · Jul 2025: −26.0% vs market
ACCELYA · Sep 2020: −25.2% vs market
SWARAJENG · Oct 2020: −23.8% vs market
GARFIBRES · Mar 2023: −23.1% vs market
BALMLAWRIE · Jun 2020: −22.0% vs market
GANDHITUBE · Mar 2020: −20.5% vs market
VESUVIUS · Jan 2020: −19.9% vs market
MOLDTKPAC · Nov 2022: −16.4% vs market
VARDHACRLC · Jun 2020: −16.4% vs market
ASHIANA · Feb 2020: −15.6% vs market
UNITEDTEA · Mar 2020: −14.0% vs market
ICRA · Jan 2023: −11.9% vs market
BSE · Jan 2020: −7.5% vs market
CERA · Feb 2021: −6.7% vs market
IMPAL · Feb 2020: −6.0% vs market
SJS · Jan 2023: −4.5% vs market
XCHANGING · Feb 2020: +3.4% vs market
GEECEE · Sep 2025: +3.5% vs market
KSCL · May 2020: +3.7% vs market
GUJAPOLLO · Jul 2022: +5.7% vs market
MAHLIFE · Feb 2020: +6.1% vs market
RAMCOIND · Feb 2020: +8.1% vs market
PRIMESECU · Mar 2023: +10.2% vs market
CARERATING · May 2023: +10.7% vs market
FDC · Mar 2023: +11.6% vs market
ALIVUS · Aug 2023: +12.4% vs market
SASKEN · Feb 2020: +14.7% vs market
SREEL · Oct 2025: +18.3% vs market
YASHOPTICS · Jul 2025: +18.6% vs market
SUNDROP · Mar 2020: +21.2% vs market
GPPL · May 2023: +25.8% vs market
KSB · May 2021: +28.4% vs market
FOSECOIND · Mar 2025: +39.2% vs market
APCOTEXIND · Oct 2025: +42.0% vs market
VSTTILLERS · Feb 2025: +44.0% vs market
MIDHANI · Dec 2022: +51.7% vs market
GEOJITFSL · Nov 2023: +52.2% vs market
DIVGIITTS · Oct 2025: +60.3% vs market
THYROCARE · May 2024: +63.0% vs market
PILANIINVS · Nov 2023: +76.6% vs market
WENDT · Mar 2022: +77.1% vs market
Similar setups −0.5%All companies −1.7%← 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

Similar setups' median
−0.5%
All companies' median
−1.7%
Beat the market
50% vs 48%

50 past situations · 50 companies · 30 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
AMRUTANJAN
Health Technology		 Jul 2025 94x31% −13%−21% −26%
XCHANGING
Technology Services		 Feb 2020 11x14% +13%−22% +3%
APCOTEXIND
Process Industries		 Oct 2025 49x— −10%−17% +42%
WONDERLA
Consumer Services		 Jan 2020 25x10% −12%−22% −32%
MAHLIFE
Finance		 Feb 2020 19x6% −4%−20% +6%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
CARERATING
Commercial Services		 May 2023 25x16% +34%−10% +11%
FOSECOIND
Process Industries		 Mar 2025 30x— +18%−33% +39%
IMPAL
Distribution Services		 Feb 2020 16x5% −8%−23% −6%
How reliable is this?

Matched on P/S, debt/equity, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: drawdown from 12-month high, 12-month momentum and P/S. Not used (unavailable for this company): P/E, ROCE, operating margin and interest cover. 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 CHEVIOT COLTD. 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 changed?

19 events since Aug '22

  1. AugPriceVolume reached 59.5x its 50-day median on 2026-08-05; price +8.0% that day.
  2. MayPriceVolume reached 16.7x its 50-day median on 2026-05-06; price +6.4% that day.
  3. MarPriceFell 42% from the Jun 2024 peak to the Mar 2026 low.
  4. NovPriceVolume reached 6.8x its 50-day median on 2025-11-11; price +1.7% that day.
  5. AugPriceVolume reached 11.4x its 50-day median on 2025-08-06; price +2.1% that day.
  6. JunPriceVolume reached 13.8x its 50-day median on 2025-06-30; price +5.7% that day.
  7. MarPriceVolume reached 5.9x its 50-day median on 2025-03-27; price -0.7% that day.
  8. DecPriceVolume reached 15.6x its 50-day median on 2024-12-11; price +4.4% that day.
Show 11 earlier events
  1. AugPriceVolume reached 21.5x its 50-day median on 2024-08-28; price +7.2% that day.
  2. MayPriceVolume reached 26.6x its 50-day median on 2024-05-24; price -6.2% that day.
  3. JanPriceVolume reached 7.8x its 50-day median on 2024-01-08; price +5.0% that day.
  4. DecPriceRegained the 2022-08 peak, 9 months after the low.
  5. DecPriceVolume reached 80.0x its 50-day median on 2023-12-11; price +20.0% that day.
  6. AugPriceVolume reached 18.0x its 50-day median on 2023-08-10; price +2.4% that day.
  7. JunPriceVolume reached 59.0x its 50-day median on 2023-06-22; price +7.7% that day.
  8. MarPriceFell 34% from the Aug 2022 peak to the Mar 2023 low.
  9. FebPriceVolume reached 21.7x its 50-day median on 2023-02-22; price +5.7% that day.
  10. NovPriceVolume reached 8.0x its 50-day median on 2022-11-09; price +5.7% that day.
  11. AugPriceVolume reached 14.9x its 50-day median on 2022-08-01; price +7.2% that day.

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
MonthRevenue (TTM)ROEDebt / Equity
2026-11₹122 cr9.4%0.0x
2026-10₹122 cr9.4%0.0x
2026-09₹122 cr9.4%0.0x
2026-08₹122 cr9.4%0.0x
2026-07₹122 cr9.4%0.0x
2026-06₹122 cr9.4%0.0x
2026-05₹122 cr9.4%0.0x
2026-04₹122 cr9.4%0.0x
2026-03₹122 cr9.4%0.0x
2026-02₹122 cr9.4%0.0x
2026-01₹122 cr9.4%0.0x
2025-12₹122 cr9.4%0.0x
2025-11₹122 cr9.4%0.0x
2025-10₹122 cr9.4%0.0x
2025-09₹122 cr9.4%0.0x
2025-08₹122 cr9.4%0.0x
2025-07₹122 cr9.4%0.0x
2025-06₹122 cr9.4%0.0x
2025-05₹122 cr9.4%0.0x
2025-04₹122 cr9.4%0.0x
2025-03₹122 cr9.4%0.0x
2025-02₹122 cr9.4%0.0x
2025-01₹122 cr9.4%0.0x
2024-12₹122 cr9.4%0.0x
2024-11₹122 cr9.4%0.0x
2024-10₹122 cr9.4%0.0x
2024-09₹122 cr9.4%0.0x
2024-08₹122 cr9.4%0.0x
2024-07₹122 cr9.4%0.0x
2024-06₹122 cr9.4%0.0x
2024-05₹122 cr9.4%0.0x
2024-04₹122 cr9.4%0.0x
2024-03₹122 cr9.4%0.0x
2024-02₹122 cr9.4%0.0x
2024-01₹122 cr9.4%0.0x
2023-12₹122 cr9.4%0.0x
2023-11₹122 cr9.4%0.0x
2023-10₹122 cr9.4%0.0x
2023-09₹122 cr9.4%0.0x
2023-08₹122 cr9.4%0.0x
2023-07₹122 cr9.4%0.0x
2023-06₹122 cr9.4%0.0x
2023-05₹122 cr9.4%0.0x
2023-04₹122 cr9.4%0.0x
2023-03₹122 cr9.4%0.0x
2023-02₹122 cr9.4%0.0x
2023-01₹122 cr9.4%0.0x
2022-12₹122 cr9.4%0.0x
2022-11₹122 cr9.4%0.0x
2022-10₹122 cr9.4%0.0x
2022-09₹122 cr9.4%0.0x
2022-08₹122 cr9.4%0.0x
2022-07₹122 cr9.4%0.0x
2022-06₹122 cr9.4%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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