अApnaFunda

BOMBAY METRICS SUPPLY CHAIN (BMETRICS)

Miscellaneous

Share Price
₹43.00
P/E
31.9x
ROCE
11.0%
Market Cap
₹53 cr
Revenue (TTM)
₹93 cr
P/S
0.6x
P/B
2.5x
ROE
7.9%
Debt / Equity
0.5x
Promoter Holding
70.1%
12M Momentum
-19.3%
P/E vs its own history100th percentilesince Jun '24

52-week range

₹31.05₹56.90
46% of the way from its 52-week low to its high

Price risk

1Y volatility
61.6%

Balance sheet & cash

Interest cover
operating profit ÷ interest
4.0x
Cash from profit, 3Y
operating cash flow ÷ net profit
0.22x
low
Share count, 1Y
unchanged

Was the rally earned?

-19%share price, 1 yearEarnings-driven

Mostly earnings.

  • Per-share earnings took off 89 points, while the multiple moved less (P/E 14.6x to 31.9x).
  • The share count barely moved.
1 year Net profit growth: -90 pts. Points of the price return explained by net profit growing (or shrinking).-90 ptsP/E change: +70 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+70 pts -19% 1 year Net profit growth: -90 pts. Points of the price return explained by net profit growing (or shrinking).-90 ptsP/E change: +70 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+70 pts -19%
Net profit growth-89 ptsNet profit fell about 63%, which lowers the price.
P/E change+70 ptsThe P/E rose from 14.6x to 31.9x, 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

Is it expensive against its own past and its peers?

31.9xP/E todayNear its historic high
Against its own history100th percentileMedian 17.7x; usual range 10.9x to 27.2x since 2024-06.
10.1x17.4x24.6x31.9xJun '24Dec '24Jun '25Dec '25Jun '26Oct '2610.1x17.4x24.6x31.9xJun '24Apr '25Feb '26Oct '26
P/E (this company)10th to 90th percentile of its own historyIts median

The chart loads when you open this tab.

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

The chart loads when you open this tab.

P/S (this company)10th to 90th percentile of its own historyIts median
How to read this

Shaded band: 10th to 90th percentile of the company's own P/E history; dashed line: its median.

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 Miscellaneous is valued

What is the price implying?

~15%annual earnings growth implied by the price

At a P/E of 21.2x, the price would imply about 15.4%/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

What changed?

  1. Aug '26Fell 89% from the Nov 2022 peak to the Aug 2026 low.
  2. Jun '26Year-on-year EPS growth turned negative.
  3. Jun '26P/E crossed above the 90th percentile of its own history to date (26.7x).
  4. Jun '25Revenue (TTM) reached a new high of ₹101 cr.
  5. May '22Regained the 2022-04 peak, 0 months after the low.
  6. May '22Fell 28% from the Apr 2022 peak to the May 2022 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?

3 of 6 checks are within range, 3 beyond a threshold.
Tap a check to see how it is measured.

Other income reliance50%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 50.0%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion0.22xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: 0.22x (cash from operations ₹2 cr, net profit ₹9 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow1 of 3 yrsBeyond threshold

Fiscal years with positive free cash flow in the last 3: 1. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history-9 daysWithin range

Debtor days are below the median of the previous three fiscal years by 9 days (98 vs 107). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress50% of fixed assetsWithin range

Capital work-in-progress is 50% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days-51 days / 2 yrsWithin range

Days payable changed by -51 over two years. Bands: rise of up to 30 days; more than 30 days.

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 274 to 1,042 (+280%) between Dec 2021 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupDec '21Mar '26Change
Promoters69.9%70.1%+0.3 pts
FIIs———
DIIs———
Public and others30.1%29.9%-0.3 pts

Number of shareholders

1,042shareholders+280% since Dec '21
1865238611k Dec '21Sep '23Sep '24Sep '25Mar '26
Dec '21: 274
Sep '22: 186
Sep '23: 958
Mar '24: 993
Sep '24: 1,196
Mar '25: 1,198
Sep '25: 1,148
Mar '26: 1,042
1865238611k Dec '21Mar '24Sep '25Mar '26
Dec '21: 274
Sep '22: 186
Sep '23: 958
Mar '24: 993
Sep '24: 1,196
Mar '25: 1,198
Sep '25: 1,148
Mar '26: 1,042

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-88.9%not yet recovered
1-year volatility61.6%annualised

Monthly share price

₹31₹45₹60₹74 Jun '24Dec '24Jun '25Dec '25Jun '26Oct '26
2024-06: ₹66.25
2024-07: ₹61.95
2024-08: ₹73.80
2024-09: ₹65.90
2024-10: ₹62.85
2024-11: ₹63.40
2024-12: ₹58.00
2025-01: ₹58.00
2025-02: ₹52.15
2025-03: ₹41.85
2025-04: ₹45.60
2025-05: ₹48.25
2025-06: ₹47.05
2025-07: ₹46.00
2025-08: ₹46.70
2025-09: ₹48.50
2025-10: ₹53.25
2025-11: ₹42.00
2025-12: ₹42.90
2026-01: ₹39.10
2026-02: ₹36.95
2026-03: ₹40.00
2026-04: ₹40.70
2026-05: ₹37.00
2026-06: ₹36.00
2026-07: ₹37.00
2026-08: ₹31.05
2026-09: ₹38.60
2026-10: ₹43.00
₹31₹45₹60₹74 Jun '24Apr '25Feb '26Oct '26
2024-06: ₹66.25
2024-07: ₹61.95
2024-08: ₹73.80
2024-09: ₹65.90
2024-10: ₹62.85
2024-11: ₹63.40
2024-12: ₹58.00
2025-01: ₹58.00
2025-02: ₹52.15
2025-03: ₹41.85
2025-04: ₹45.60
2025-05: ₹48.25
2025-06: ₹47.05
2025-07: ₹46.00
2025-08: ₹46.70
2025-09: ₹48.50
2025-10: ₹53.25
2025-11: ₹42.00
2025-12: ₹42.90
2026-01: ₹39.10
2026-02: ₹36.95
2026-03: ₹40.00
2026-04: ₹40.70
2026-05: ₹37.00
2026-06: ₹36.00
2026-07: ₹37.00
2026-08: ₹31.05
2026-09: ₹38.60
2026-10: ₹43.00

Last 90 trading days

₹31₹36₹40₹45 May 19Jun 18Jul 24Sep 3Oct 5Oct 30
2026-05-19: ₹37.50
2026-05-25: ₹37.50
2026-05-27: ₹38.25
2026-06-01: ₹36.55
2026-06-03: ₹36.35
2026-06-08: ₹36.90
2026-06-10: ₹35.15
2026-06-12: ₹35.20
2026-06-16: ₹37.20
2026-06-18: ₹36.05
2026-06-22: ₹36.05
2026-06-29: ₹36.00
2026-07-01: ₹36.90
2026-07-03: ₹36.80
2026-07-08: ₹35.00
2026-07-10: ₹36.50
2026-07-14: ₹35.30
2026-07-21: ₹36.30
2026-07-24: ₹35.50
2026-07-28: ₹37.00
2026-08-04: ₹38.50
2026-08-13: ₹36.70
2026-08-18: ₹34.25
2026-08-21: ₹34.50
2026-08-25: ₹34.00
2026-08-28: ₹33.50
2026-09-01: ₹33.50
2026-09-03: ₹34.70
2026-09-07: ₹33.80
2026-09-09: ₹35.95
2026-09-11: ₹34.45
2026-09-17: ₹32.85
2026-09-21: ₹33.95
2026-09-23: ₹34.90
2026-09-25: ₹41.40
2026-09-30: ₹38.60
2026-10-05: ₹39.65
2026-10-07: ₹38.00
2026-10-09: ₹35.00
2026-10-13: ₹38.00
2026-10-16: ₹38.20
2026-10-21: ₹40.00
2026-10-23: ₹39.00
2026-10-27: ₹40.00
2026-10-29: ₹45.05
2026-10-30: ₹43.00
₹31₹36₹40₹45 May 19Jul 10Sep 11Oct 30
2026-05-19: ₹37.50
2026-05-25: ₹37.50
2026-05-27: ₹38.25
2026-06-01: ₹36.55
2026-06-03: ₹36.35
2026-06-08: ₹36.90
2026-06-10: ₹35.15
2026-06-12: ₹35.20
2026-06-16: ₹37.20
2026-06-18: ₹36.05
2026-06-22: ₹36.05
2026-06-29: ₹36.00
2026-07-01: ₹36.90
2026-07-03: ₹36.80
2026-07-08: ₹35.00
2026-07-10: ₹36.50
2026-07-14: ₹35.30
2026-07-21: ₹36.30
2026-07-24: ₹35.50
2026-07-28: ₹37.00
2026-08-04: ₹38.50
2026-08-13: ₹36.70
2026-08-18: ₹34.25
2026-08-21: ₹34.50
2026-08-25: ₹34.00
2026-08-28: ₹33.50
2026-09-01: ₹33.50
2026-09-03: ₹34.70
2026-09-07: ₹33.80
2026-09-09: ₹35.95
2026-09-11: ₹34.45
2026-09-17: ₹32.85
2026-09-21: ₹33.95
2026-09-23: ₹34.90
2026-09-25: ₹41.40
2026-09-30: ₹38.60
2026-10-05: ₹39.65
2026-10-07: ₹38.00
2026-10-09: ₹35.00
2026-10-13: ₹38.00
2026-10-16: ₹38.20
2026-10-21: ₹40.00
2026-10-23: ₹39.00
2026-10-27: ₹40.00
2026-10-29: ₹45.05
2026-10-30: ₹43.00

Drawdown from peak

0% -44% -88% Oct '21Apr '24Oct '26 0% -44% -88% Oct '21Apr '24Oct '26
Largest drawdowns

-88.9% (2022-11 peak to 2026-08 low, not yet recovered)

-27.7% (2022-04 peak to 2022-05 low, recovered 2022-05)

-24.7% (2021-10 peak to 2021-11 low, recovered 2022-02)

What happened next to similar setups

−8.3%typical 12-month return vs the marketBelow the base rate
  • We found 50 past situations where a non-financial company looked like BOMBAY METRICS SUPPLY CHAIN today on valuation, return on capital, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −25% to +12% vs the market, against 0% for all non-financial companies in the same months.
  • The analogs' median sat below that base rate (gap −8.7%, 80% range −12.9% to −3.4%), but the matches cluster in only 6 distinct 12-month windows.

Where the 50 outcomes landed

−50%0%+50%+100%
SHIGAN · Oct 2024: −45.0% vs market
AMDIND · Nov 2023: −41.9% vs market
ZENITHSTL · Oct 2025: −41.7% vs market
ALKALI · Jan 2024: −38.5% vs market
THEINVEST · Mar 2022: −37.1% vs market
SUNDARAM · Feb 2020: −36.3% vs market
AROGRANITE · Jul 2024: −36.1% vs market
PATINTLOG · Jul 2022: −31.8% vs market
PIGL · Feb 2023: −31.7% vs market
AAKASH · May 2024: −30.2% vs market
LAMBODHARA · Jul 2024: −29.9% vs market
HILTON · Apr 2020: −28.3% vs market
DCMNVL · Apr 2024: −26.0% vs market
AKASH · Dec 2023: −22.9% vs market
AHLADA · Apr 2023: −22.2% vs market
TARMAT · Apr 2023: −21.5% vs market
BALPHARMA · Jun 2022: −19.9% vs market
MAHESHWARI · Mar 2022: −19.5% vs market
HITECHCORP · Jul 2022: −18.1% vs market
ROML · Aug 2025: −13.4% vs market
BVCL · Sep 2025: −11.8% vs market
SKMEGGPROD · May 2021: −10.2% vs market
KRITI · Apr 2023: −9.9% vs market
NAGREEKEXP · May 2023: −9.4% vs market
NECCLTD · Apr 2020: −8.4% vs market
SHREYANIND · Sep 2021: −8.1% vs market
SURANASOL · Jan 2020: −6.4% vs market
ISFT · Sep 2020: −3.4% vs market
CENTEXT · Jun 2021: −2.9% vs market
BANKA · Apr 2022: −2.3% vs market
ARIES · Apr 2020: −1.7% vs market
BANSWRAS · Dec 2021: +0.1% vs market
AAREYDRUGS · Sep 2023: +0.7% vs market
HPIL · Jul 2023: +1.8% vs market
MITCON · Nov 2023: +3.1% vs market
TPLPLASTEH · Sep 2022: +6.3% vs market
RKEC · Feb 2023: +9.4% vs market
ASPINWALL · May 2020: +12.6% vs market
SONAMLTD · Feb 2024: +12.9% vs market
SOFTTECH · May 2022: +20.1% vs market
NIPPOBATRY · Nov 2022: +33.1% vs market
KRITIKA · Oct 2023: +37.2% vs market
TALBROAUTO · Oct 2020: +38.2% vs market
BEARDSELL · Apr 2021: +38.7% vs market
KHFM · Nov 2023: +49.7% vs market
ALICON · Feb 2021: +52.7% vs market
PIONEEREMB · May 2020: +75.5% vs market
ORIENTBELL · Nov 2020: +82.2% vs market
SHIVAMILLS · Mar 2021: +94.0% vs market
SALONA · May 2021: +111.9% vs market
Similar setups −8.3%All companies +0.4%← 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 · 1 beyond the range shown, drawn at the edge

Similar setups' median
−8.3%
All companies' median
+0.4%
Beat the market
38% vs 50%

50 past situations · 50 companies · 38 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
HPIL
Process Industries
Jul 2023 45x9% +19%−6% +2%
ROML
Process Industries
Aug 2025 50x14% −17%−27% −13%
LAMBODHARA
Process Industries
Jul 2024 44x7% +35%−2% −30%
NAGREEKEXP
Process Industries
May 2023 —— +6%−12% −9%
SALONA
Process Industries
May 2021 50x8% +111%−3% +112%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
BVCL
Non-Energy Minerals
Sep 2025 32x9% −16%−28% −12%
PIGL
Utilities
Feb 2023 21x— +12%−17% −32%
SONAMLTD
Miscellaneous
Feb 2024 41x9% +83%−10% +13%
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/E and ROCE. 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 BOMBAY METRICS SUPPLY CHAIN. 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 (29 months)
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1031.9x₹93 cr7.9%11.0%0.5x
2026-0928.6x₹93 cr7.9%11.0%0.5x
2026-0823.0x₹93 cr7.9%11.0%0.5x
2026-0727.4x₹93 cr7.9%11.0%0.5x
2026-0626.7x₹93 cr7.9%11.0%0.5x
2026-0510.1x₹101 cr23.7%30.0%0.6x
2026-0411.2x₹101 cr23.7%30.0%0.6x
2026-0311.0x₹101 cr23.7%30.0%0.6x
2026-0210.1x₹101 cr23.7%30.0%0.6x
2026-0110.7x₹101 cr23.7%30.0%0.6x
2025-1211.8x₹101 cr23.7%30.0%0.6x
2025-1111.5x₹101 cr23.7%30.0%0.6x
2025-1014.6x₹101 cr23.7%30.0%0.6x
2025-0913.3x₹101 cr23.7%30.0%0.6x
2025-0812.8x₹101 cr23.7%30.0%0.6x
2025-0712.6x₹101 cr23.7%30.0%0.6x
2025-0612.9x₹101 cr23.7%30.0%0.6x
2025-0517.7x₹87 cr11.2%—0.2x
2025-0416.8x₹87 cr11.2%—0.2x
2025-0315.4x₹87 cr11.2%—0.2x
2025-0219.2x₹87 cr11.2%—0.2x
2025-0121.3x₹87 cr11.2%—0.2x
2024-1221.3x₹87 cr11.2%—0.2x
2024-1123.3x₹87 cr11.2%—0.2x
2024-1023.1x₹87 cr11.2%—0.2x
2024-0924.2x₹87 cr11.2%—0.2x
2024-0827.1x₹87 cr11.2%—0.2x
2024-0722.8x₹87 cr11.2%—0.2x
2024-0624.4x₹87 cr11.2%—0.2x

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