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BLUE PEBBLE LIMITED (BLUEPEBBLE)

Miscellaneous · figures to Nov '26

Share price

Closing priceAdjusted for splits and bonus issues.

₹76.4 latest close · −2.1% over the last 90 sessions

₹60₹70₹80Jun 22Jul 17Aug 13Sep 9Oct 13Nov 9 ₹60₹70₹80Jun 22Aug 27Nov 9

₹76.4 month-end · −31.7% over 12 months

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

₹76.4 month-end · −64.1% since Jun '25

₹50₹100₹150₹200Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹50₹100₹150₹200Jun '25Mar '26Nov '26

52-week range ₹56.75 to ₹170.00 · 1-year volatility 70.1%

Was the rally earned?

-32%share price, 1 yearEarnings-driven

Mostly earnings.

  • Per-share earnings took off 194 points, while the multiple moved less (P/E 9.0x to 63.7x).
  • The share count barely moved.
Net profit growth: −194 pts. Points of the price return explained by net profit growing (or shrinking).−194 ptsNet profit growthP/E change: +163 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+163 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: −32%−32%Share priceNet profit growth: −194 pts. Points of the price return explained by net profit growing (or shrinking).−194ProfitP/E change: +163 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+163P/EShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0SharesShare price: −32%−32%Share price
Net profit growth-194 ptsNet profit fell about 90%, which lowers the price.
P/E change+163 ptsThe P/E rose from 9.0x to 63.7x, 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 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 with other companies

How rough has the ride been?

Maximum drawdown-84.1%not yet recovered
1-year volatility70.1%annualised

Drawdown from peak

0%−25%−50%−75%20252026−83.6% 0%−25%−50%−75%20252026−83.6%
Largest drawdowns

-84.1% (2024-11 peak to 2026-10 low, not yet recovered)

-43.9% (2024-05 peak to 2024-06 low, recovered 2024-11)

-18.1% (2024-04 peak to 2024-05 low, recovered 2024-05)

What is the price implying?

~29%annual earnings growth implied by the price

At a P/E of 63.7x, the price would imply about 29.3%/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.

The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹76.40
P/E
63.7x
ROCE
2.4%
Market Cap
₹31 cr
Revenue (TTM)
₹22 cr
P/S
1.4x
P/B
1.1x
ROE
1.8%
Debt / Equity
0.0x
Promoter Holding
73.5%
12M Momentum
-31.7%

52-week range

₹56.75₹170.00
17% of the way from its 52-week low to its high

Price risk

1Y volatility
70.1%

Balance sheet & cash

Debt service
no meaningful debt
Share count, 1Y
unchanged

Are profits backed by cash?

0 of 1checks within range1 beyond a threshold
Other income reliance91%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 90.9%. 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.

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 593 to 807 (+36%) between Sep 2024 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '24Jun '26Change
Promoters73.5%73.5%0.0 pts
FIIs———
DIIs0.0%0.0%0.0 pts
Public and others26.5%26.5%0.0 pts

Number of shareholders

807shareholders+36% since Sep '24
593708823938 Sep '24Mar '25Sep '25Jun '26
Sep '24: 593
Mar '25: 918
Sep '25: 938
Jun '26: 807
 593708823938 Sep '24Mar '25Sep '25Jun '26
Sep '24: 593
Mar '25: 918
Sep '25: 938
Jun '26: 807

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

−13.7%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 BLUE PEBBLE LIMITED today on valuation, return on capital, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −37% to +19% vs the market, against −8% for all non-financial companies in the same months.
  • The gap against the base rate (−6.1%, 80% range −13.2% to +6.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
QUICKTOUCH · Oct 2025: −69.6% vs market
ISHAN · Nov 2024: −66.5% vs market
KDL · Mar 2025: −62.7% vs market
KCK · Oct 2025: −58.3% vs market
PRITI · Oct 2025: −56.3% vs market
MITTAL · Oct 2025: −53.2% vs market
KALANA · Sep 2025: −47.3% vs market
TARMAT · Mar 2024: −45.1% vs market
MADHAVBAUG · Dec 2023: −44.3% vs market
SMLT · Aug 2025: −42.4% vs market
COMPUSOFT · Jun 2025: −40.2% vs market
UNIINFO · May 2024: −37.8% vs market
LFIC · Sep 2025: −36.9% vs market
VIKASECO · Jul 2024: −36.9% vs market
RBMINFRA · Jan 2025: −34.8% vs market
ZENITHSTL · Jun 2025: −32.6% vs market
ACEINTEG · Sep 2023: −29.1% vs market
AATMAJ · Nov 2024: −23.7% vs market
IVC · Sep 2024: −22.4% vs market
BYKE · Jan 2020: −21.1% vs market
ALPHAGEO · Nov 2021: −19.0% vs market
AUSOMENT · Jun 2022: −17.8% vs market
BIOFILCHEM · Nov 2022: −17.3% vs market
COUNCODOS · Jul 2025: −16.3% vs market
JHS · Aug 2021: −15.4% vs market
PARTYCRUS · Jan 2024: −12.0% vs market
DIAMINESQ · Oct 2025: −7.9% vs market
ONMOBILE · Dec 2022: −6.4% vs market
ROML · Apr 2025: −3.7% vs market
GROBTEA · Aug 2022: −3.2% vs market
GANGESSECU · Jul 2024: +2.2% vs market
PNC · Jan 2020: +2.4% vs market
HOMESFY · Feb 2024: +4.9% vs market
LOVABLE · Jun 2021: +7.6% vs market
ARVEE · Dec 2024: +16.3% vs market
AJOONI · Dec 2023: +17.0% vs market
PEARLPOLY · Jul 2024: +17.4% vs market
DENTALKART · Aug 2024: +18.8% vs market
SAMBHAAV · Apr 2023: +20.4% vs market
LPDC · Mar 2020: +27.6% vs market
BANARBEADS · Jan 2020: +31.5% vs market
MINDTECK · Jan 2020: +35.0% vs market
SHYAMCENT · Jan 2020: +54.0% vs market
MAHICKRA · Sep 2024: +55.7% vs market
LOTUSEYE · Jul 2021: +61.1% vs market
SWELECTES · May 2020: +73.8% vs market
ZENITHEXPO · Oct 2023: +97.9% vs market
PILITA · Feb 2020: +107.2% vs market
SILVERTUC · Dec 2021: +126.1% vs market
VIVIDHA · Jan 2020: +267.5% vs market
Similar setups −13.7%All companies −7.6%← 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 · 3 beyond the range shown, drawn at the edge

Similar setups' median
−13.7%
All companies' median
−7.6%
Beat the market
40% vs 41%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
HOMESFY
Technology Services		 Feb 2024 54x— +12%−29% +5%
COUNCODOS
Finance		 Jul 2025 96x4% −16%−43% −16%
ACEINTEG
Technology Services		 Sep 2023 50x— −4%−52% −29%
BIOFILCHEM
Health Technology		 Nov 2022 130x6% −7%−43% −17%
ARVEE
Process Industries		 Dec 2024 84x7% +1%−43% +16%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
PEARLPOLY
Process Industries		 Jul 2024 82x-3% +42%−28% +17%
ALPHAGEO
Industrial Services		 Nov 2021 31x4% +48%−33% −19%
SMLT
Miscellaneous		 Aug 2025 35x6% −42%−49% −42%
How reliable is this?

Matched on P/E, P/S, ROCE, debt/equity, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: ROCE, 12-month momentum and drawdown from 12-month high. Not used (unavailable for this company): 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 BLUE PEBBLE 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?

4 events since Jun '24

  1. OctPriceFell 84% from the Nov 2024 peak to the Oct 2026 low.
  2. JunDividendDividend payout cut from 4% to 0% of profit.
  3. NovPriceRegained the 2024-05 peak, 5 months after the low.
  4. JunPriceFell 44% from the May 2024 peak to the Jun 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

Monthly history18 months · 2025-06 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1163.7x₹22 cr1.8%2.4%0.0x
2026-1051.3x₹22 cr1.8%2.4%0.0x
2026-0954.2x₹22 cr1.8%2.4%0.0x
2026-0852.5x₹22 cr1.8%2.4%0.0x
2026-0758.3x₹22 cr1.8%2.4%0.0x
2026-0664.6x₹22 cr1.8%2.4%0.0x
2026-057.6x₹46 cr18.4%—0.0x
2026-0410.0x₹46 cr18.4%—0.0x
2026-039.2x₹46 cr18.4%—0.0x
2026-0211.0x₹46 cr18.4%—0.0x
2026-0112.1x₹46 cr18.4%—0.0x
2025-129.1x₹46 cr18.4%—0.0x
2025-119.0x₹46 cr18.4%—0.0x
2025-1013.0x₹46 cr18.4%—0.0x
2025-0914.0x₹46 cr18.4%—0.0x
2025-0813.9x₹46 cr18.4%—0.0x
2025-0714.7x₹46 cr18.4%—0.0x
2025-0617.2x₹46 cr18.4%—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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