अApnaFunda

ARCHIDPLY DECOR LIMITED (ADL)

Commercial Services · Miscellaneous Commercial Services · 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.27 / 100
Growth 12Balance sheet 42

Share price

Closing priceAdjusted for splits and bonus issues.

₹70.12 latest close · −0.3% over the last 90 sessions

₹70₹80Jun 30Jul 27Aug 20Sep 15Oct 14Nov 9 ₹70₹80Jun 30Sep 2Nov 9

₹70.12 month-end · −5.4% over 12 months

₹60₹70₹80Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹60₹70₹80Nov '25May '26Nov '26

₹70.12 month-end · −22.1% over 3 years

₹60₹80₹100Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹60₹80₹100Nov '23May '25Nov '26

₹70.12 month-end · +276.0% since Oct '20

₹50₹100Oct '20Jan '22Mar '23Jun '24Aug '25Nov '26 ₹50₹100Oct '20Nov '23Nov '26

52-week range ₹50.26 to ₹91.69 · 1-year volatility 54.4%

How rough has the ride been?

Maximum drawdown-64.2%not yet recovered
1-year volatility54.4%annualised

Drawdown from peak

0%−20%−40%−60%2020202120222023202420252026−60.2% 0%−20%−40%−60%2020202220242026−60.2%
Largest drawdowns

-64.2% (2024-09 peak to 2026-03 low, not yet recovered)

-35.5% (2022-09 peak to 2023-02 low, recovered 2023-10)

-29.5% (2021-01 peak to 2021-02 low, recovered 2021-06)

Where does it rank among Commercial Services peers?

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

  • Revenue growth13th▼ 13 pts vs a year ago
  • Debt/equity ↓31stflat vs a year ago
  • Cash cycle ↓4thflat vs a year ago
  • 12M momentum69th▲ 11 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

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 Commercial Services sector page Watch it move against Commercial Services 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 Commercial Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹70.12
Market Cap
₹39 cr
Revenue (TTM)
₹39 cr
P/S
1.0x
P/B
0.8x
ROE
-2.2%
Debt / Equity
0.4x
Promoter Holding
73.0%
12M Momentum
-5.4%

52-week range

₹50.26₹91.69
48% of the way from its 52-week low to its high

Price risk

1Y volatility
54.4%
Beta vs sector
1-year daily
0.99

Balance sheet & cash

Interest cover
operating profit ÷ interest
0.7x
Share count, 1Y
unchanged

Are profits backed by cash?

2 of 2checks 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 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 (149 vs 149). 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 3 years, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders fell from 6,649 to 6,281 (-6%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters73.0%73.0%0.0 pts
FIIs———
DIIs———
Public and others27.0%27.0%0.0 pts

Number of shareholders

6,281shareholders-6% since Sep '23
6k6k7k7k Sep '23Dec '23Dec '24Sep '25Mar '26Jun '26
Sep '23: 6,649
Dec '23: 6,473
Dec '24: 6,842
Sep '25: 6,565
Mar '26: 6,386
Jun '26: 6,281
6k6k7k7k Sep '23Dec '24Mar '26Jun '26
Sep '23: 6,649
Dec '23: 6,473
Dec '24: 6,842
Sep '25: 6,565
Mar '26: 6,386
Jun '26: 6,281

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

−6.9%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 ARCHIDPLY DECOR LIMITED today on valuation, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −28% to +38% vs the market, against −2% for all non-financial companies in the same months.
  • The gap against the base rate (−5.2%, 80% range −18.7% to +8.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
LIBAS · Aug 2021: −53.5% vs market
NEXTMEDIA · Apr 2025: −45.7% vs market
PRAXIS · Oct 2023: −44.7% vs market
SETCO · Jun 2021: −43.9% vs market
VITAL · Feb 2025: −41.6% vs market
PALREDTEC · Mar 2023: −41.5% vs market
PEARLPOLY · Dec 2020: −36.4% vs market
DELTAMAGNT · Aug 2023: −36.0% vs market
IBULLSLTD · Jan 2025: −35.3% vs market
SUNDARAM · Jul 2024: −33.0% vs market
KOHINOOR · Apr 2025: −31.7% vs market
ZENITHEXPO · May 2021: −28.0% vs market
TGBHOTELS · Nov 2023: −27.9% vs market
ASPINWALL · Mar 2021: −27.1% vs market
ORIENTLTD · Aug 2023: −26.2% vs market
EXXARO · Jun 2025: −24.4% vs market
MADHAV · Jun 2025: −22.9% vs market
ATLANTAA · Dec 2021: −22.7% vs market
TOKYOPLAST · Nov 2023: −22.4% vs market
LORDSCHLO · Feb 2025: −21.4% vs market
MUKTAARTS · Apr 2025: −20.1% vs market
KECL · Feb 2020: −18.2% vs market
WILLAMAGOR · Jul 2020: −18.1% vs market
ENERGYDEV · Aug 2020: −12.7% vs market
NIPPOBATRY · Jul 2023: −12.2% vs market
BVCL · May 2023: −1.6% vs market
INDIANCARD · Jul 2021: +0.6% vs market
VIPCLOTHNG · Sep 2020: +5.0% vs market
INDTERRAIN · Dec 2021: +7.6% vs market
ZENITHSTL · Oct 2023: +10.1% vs market
NGIL · Sep 2025: +13.5% vs market
IVP · Dec 2020: +15.6% vs market
BAGFILMS · Nov 2023: +22.6% vs market
NKIND · Nov 2022: +23.3% vs market
BYKE · Jan 2022: +29.6% vs market
ALKALI · Dec 2021: +35.0% vs market
TRF · Jul 2022: +36.6% vs market
SOMATEX · Oct 2020: +38.4% vs market
MURUDCERA · May 2022: +41.2% vs market
KARMAENG · May 2023: +44.2% vs market
NIBL · Dec 2020: +64.2% vs market
IMAGICAA · May 2021: +65.3% vs market
CLEDUCATE · Sep 2021: +103.7% vs market
RUCHINFRA · Feb 2020: +115.6% vs market
ONEPOINT · Jun 2021: +150.5% vs market
AXISCADES · Dec 2021: +167.6% vs market
LYKALABS · Jul 2020: +192.0% vs market
PGEL · Feb 2020: +214.7% vs market
SUPREMEINF · Oct 2023: +214.8% vs market
GSS · Oct 2021: +231.3% vs market
Similar setups −6.9%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 · 8 beyond the range shown, drawn at the edge

Similar setups' median
−6.9%
All companies' median
−1.7%
Beat the market
48% vs 48%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
KARMAENG
Utilities
May 2023 —4% +22%−13% +44%
TRF
Producer Manufacturing
Jul 2022 —— +4%−25% +37%
ALKALI
Process Industries
Dec 2021 —4% +93%−12% +35%
TGBHOTELS
Consumer Services
Nov 2023 —2% +40%−5% −28%
VIPCLOTHNG
Consumer Non-Durables
Sep 2020 —-8% +5%−18% +5%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
IBULLSLTD
Finance
Jan 2025 —-338% +26%−21% −35%
TOKYOPLAST
Producer Manufacturing
Nov 2023 —2% +25%−8% −22%
BAGFILMS
Consumer Services
Nov 2023 —2% +26%−5% +23%
How reliable is this?

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

9 events since Nov '20

  1. MarPriceFell 64% from the Sep 2024 peak to the Mar 2026 low.
  2. OctPriceRegained the 2022-09 peak, 8 months after the low.
  3. FebPriceFell 36% from the Sep 2022 peak to the Feb 2023 low.
  4. JunPriceRegained the 2022-01 peak, 3 months after the low.
  5. MarPriceFell 29% from the Jan 2022 peak to the Mar 2022 low.
  6. JunPriceRegained the 2021-01 peak, 4 months after the low.
  7. FebPriceFell 30% from the Jan 2021 peak to the Feb 2021 low.
  8. DecPriceRegained the 2020-10 peak, 1 month after the low.
Show 1 earlier event
  1. NovPriceFell 27% from the Oct 2020 peak to the Nov 2020 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 history74 months · 2020-10 to 2026-11
MonthRevenue (TTM)ROEDebt / Equity
2026-11₹39 cr-2.2%0.4x
2026-10₹39 cr-2.2%0.4x
2026-09₹39 cr-2.2%0.4x
2026-08₹39 cr-2.2%0.4x
2026-07₹39 cr-2.2%0.4x
2026-06₹39 cr-2.2%0.4x
2026-05₹39 cr-2.2%0.4x
2026-04₹39 cr-2.2%0.4x
2026-03₹39 cr-2.2%0.4x
2026-02₹39 cr-2.2%0.4x
2026-01₹39 cr-2.2%0.4x
2025-12₹39 cr-2.2%0.4x
2025-11₹39 cr-2.2%0.4x
2025-10₹39 cr-2.2%0.4x
2025-09₹39 cr-2.2%0.4x
2025-08₹39 cr-2.2%0.4x
2025-07₹39 cr-2.2%0.4x
2025-06₹39 cr-2.2%0.4x
2025-05₹39 cr-2.2%0.4x
2025-04₹39 cr-2.2%0.4x
2025-03₹39 cr-2.2%0.4x
2025-02₹39 cr-2.2%0.4x
2025-01₹39 cr-2.2%0.4x
2024-12₹39 cr-2.2%0.4x
2024-11₹39 cr-2.2%0.4x
2024-10₹39 cr-2.2%0.4x
2024-09₹39 cr-2.2%0.4x
2024-08₹39 cr-2.2%0.4x
2024-07₹39 cr-2.2%0.4x
2024-06₹39 cr-2.2%0.4x
2024-05₹39 cr-2.2%0.4x
2024-04₹39 cr-2.2%0.4x
2024-03₹39 cr-2.2%0.4x
2024-02₹39 cr-2.2%0.4x
2024-01₹39 cr-2.2%0.4x
2023-12₹39 cr-2.2%0.4x
2023-11₹39 cr-2.2%0.4x
2023-10₹39 cr-2.2%0.4x
2023-09₹39 cr-2.2%0.4x
2023-08₹39 cr-2.2%0.4x
2023-07₹39 cr-2.2%0.4x
2023-06₹39 cr-2.2%0.4x
2023-05₹39 cr-2.2%0.4x
2023-04₹39 cr-2.2%0.4x
2023-03₹39 cr-2.2%0.4x
2023-02₹39 cr-2.2%0.4x
2023-01₹39 cr-2.2%0.4x
2022-12₹39 cr-2.2%0.4x
2022-11₹39 cr-2.2%0.4x
2022-10₹39 cr-2.2%0.4x
2022-09₹39 cr-2.2%0.4x
2022-08₹39 cr-2.2%0.4x
2022-07₹39 cr-2.2%0.4x
2022-06₹39 cr-2.2%0.4x
2022-05₹39 cr-2.2%0.4x
2022-04₹39 cr-2.2%0.4x
2022-03₹39 cr-2.2%0.4x
2022-02₹39 cr-2.2%0.4x
2022-01₹39 cr-2.2%0.4x
2021-12₹39 cr-2.2%0.4x
2021-11₹39 cr-2.2%0.4x
2021-10₹39 cr-2.2%0.4x
2021-09₹39 cr-2.2%0.4x
2021-08₹39 cr-2.2%0.4x
2021-07₹39 cr-2.2%0.4x
2021-06₹39 cr-2.2%0.4x
2021-05₹39 cr-2.2%0.4x
2021-04₹39 cr-2.2%0.4x
2021-03₹39 cr-2.2%0.4x
2021-02₹39 cr-2.2%0.4x
2021-01₹39 cr-2.2%0.4x
2020-12₹39 cr-2.2%0.4x
2020-11₹39 cr-2.2%0.4x
2020-10₹39 cr-2.2%0.4x

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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