STATE TRADING CORPORATION OF I (STCINDIA): Financials & Fundamentals History

Share Price

₹98.59

Market Cap

₹592 cr

Revenue (TTM)

₹0 cr

Promoter Holding

90.0%

12M Momentum

-26.8%

52-week range

₹96.10₹150.00

5% of the way from its 52-week low to its high

Price risk

1Y volatility

41.3%

Beta vs sector

1-year daily

0.57

Balance sheet & cash

Interest cover

operating profit ÷ interest

100.0x

Cash from profit, 3Y

operating cash flow ÷ net profit

-0.20x

low

Share count, 1Y

unchanged

Per-share figures around a recent split, bonus issue or demerger may not yet be consistent.

Was the rally earned?

1 year3 years

-27%share price, 1 yearLower P/E held it back

Earnings helped, the multiple did not.

Per-share earnings added 387 points, but investors now pay less per rupee of profit (P/E 113.2x to 0.9x), which took 414 points back.
The share count barely moved.

Net profit growth+388 ptsNet profit rose about 9010%, which lifts the price.

P/E change-414 ptsThe P/E fell from 113.2x to 0.9x, which lowers the price.

Share count change0 ptsShare count was little changed. More shares would count against the price.

-19%share price, 3 yearsLower P/E held it back

Earnings helped, the multiple did not.

Per-share earnings added 273 points, but investors now pay less per rupee of profit (P/E 22.8x to 0.9x), which took 291 points back.
The share count barely moved.

Net profit growth+272 ptsNet profit rose about 1924%, which lifts the price.

P/E change-291 ptsThe P/E fell from 22.8x to 0.9x, which lowers the price.

Share count change+1 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 HMA AGRO INDUSTRIES

What changed?

Oct '26Fell 59% from the Jul 2024 peak to the Oct 2026 low.
Aug '26Volume reached 7.4x its 50-day median on 2026-08-20; price +4.6% that day.
Jun '26Volume reached 71.6x its 50-day median on 2026-06-17; price +13.6% that day.
Apr '26P/E fell below the 10th percentile of its own history to date (1.1x).
Mar '26Volume reached 48.7x its 50-day median on 2026-03-18; price +13.8% that day.
Dec '25Year-on-year EPS growth turned positive.
Dec '25P/E fell below the 10th percentile of its own history to date (1.2x).
Dec '25Moved into the top quartile of Distribution Services on EPS growth (from the bottom quartile).

Show 22 earlier events

Dec '25Volume reached 51.8x its 50-day median on 2025-12-26; price +7.1% that day.
Sep '25Volume reached 237.8x its 50-day median on 2025-09-22; price +12.7% that day.
Jun '25P/E crossed above the 90th percentile of its own history to date (35.0x).
Jun '25Slipped to the bottom quartile of Distribution Services on EPS growth (from the 3rd quartile).
May '25Volume reached 45.9x its 50-day median on 2025-05-28; price +12.6% that day.
Mar '25Year-on-year EPS growth turned negative.
Mar '25Slipped to the 3rd quartile of Distribution Services on EPS growth (from the 2nd quartile).
Jan '25Volume reached 27.5x its 50-day median on 2025-01-08; price +5.5% that day.
Dec '24Slipped to the 2nd quartile of Distribution Services on EPS growth (from the top quartile).
Nov '24Volume reached 27.7x its 50-day median on 2024-11-12; price +15.9% that day.
Jul '24Regained the 2024-02 peak, 4 months after the low.
Jul '24Volume reached 57.4x its 50-day median on 2024-07-25; price +17.1% that day.
Jun '24Volume reached 12.1x its 50-day median on 2024-06-18; price +9.2% that day.
Mar '24Fell 38% from the Feb 2024 peak to the Mar 2024 low.
Jan '24Regained the 2023-10 peak, 3 months after the low.
Jan '24Volume reached 12.5x its 50-day median on 2024-01-15; price +5.5% that day.
Oct '23Regained the 2019-01 peak, 43 months after the low.
Oct '23Fell 34% from the Oct 2023 peak to the Oct 2023 low.
Oct '23Volume reached 25.1x its 50-day median on 2023-10-17; price +8.5% that day.
Sep '23Volume reached 50.7x its 50-day median on 2023-09-05; price +15.1% that day.
Jun '23EPS (TTM) turned positive.
Apr '23Volume reached 66.4x its 50-day median on 2023-04-28; price -6.0% 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

Are profits backed by cash?

0 of 4 checks are within range, 1 near a threshold, 3 beyond a threshold.
Tap a check to see how it is measured.

Other income reliance107%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 107.2%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate2%Beyond threshold

Median quarterly effective tax rate over about 2.5 years: 1.5%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion-0.20xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: -0.20x (cash from operations ₹-143 cr, net profit ₹724 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—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.

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 22,081 to 25,261 (+14%) between Dec 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupDec '23Jun '26Change

Promoters90.0%90.0%0.0 pts

FIIs0.0%0.0%0.0 pts

DIIs0.6%0.5%-0.2 pts

Public and others9.4%9.5%+0.1 pts

Number of shareholders

25,261shareholders+14% since Dec '23

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-79.6%recovered 2023-10

1-year volatility41.3%annualised

Beta vs sector index0.673-year daily, correlation 0.42

Volume spikes1last 90 sessions, 5x the 50-day median

Monthly share price

Last 90 trading days

Drawdown from peak

Largest drawdowns

-79.6% (2019-01 peak to 2020-03 low, recovered 2023-10)

-59.0% (2024-07 peak to 2026-10 low, not yet recovered)

-38.2% (2024-02 peak to 2024-03 low, recovered 2024-07)

Most recent volume spikes

2026-08-20: 7.4x the 50-day median, price +4.6% 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 Distribution Services peers?

Each cell is the company's percentile rank among its Distribution 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).

Revenue growth

EPS growth

Cash cycle ↓

P/E ↓

12M momentum

Nov '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Oct '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 Distribution Services sector page Watch it move against Distribution Services in the Observatory

What happened next to similar setups

Not enough comparable history to show analogs for this company yet.

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

Feature	Weight	Non-financial	Financial
P/E	1	yes	yes
P/S	1	yes	—
P/B	1	—	yes
ROCE	1	yes	—
operating margin	1	yes	—
ROE	1	—	yes
debt/equity	0.75	yes	—
interest cover	0.5	yes	—
revenue growth	0.75	yes	yes
12-month momentum	1	yes	yes
drawdown from 12-month high	0.75	yes	yes
size	0.75	yes	yes
volatility	0.5	yes	yes

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 (41 months)

Month	P/E	Revenue (TTM)
2026-10	—	₹0 cr
2026-09	1.0x	₹0 cr
2026-08	1.1x	₹0 cr
2026-07	1.1x	₹0 cr
2026-06	1.2x	₹0 cr
2026-05	1.1x	₹0 cr
2026-04	1.1x	₹0 cr
2026-03	—	₹0 cr
2026-02	1.1x	₹0 cr
2026-01	1.2x	₹0 cr
2025-12	1.2x	₹0 cr
2025-11	99.3x	₹0 cr
2025-10	113.2x	₹0 cr
2025-09	110.5x	₹0 cr
2025-08	28.2x	₹0 cr
2025-07	30.4x	₹0 cr
2025-06	35.0x	₹0 cr
2025-05	26.4x	₹0 cr
2025-04	21.6x	₹0 cr
2025-03	21.4x	₹0 cr
2025-02	13.7x	₹0 cr
2025-01	17.6x	₹0 cr
2024-12	19.0x	₹0 cr
2024-11	12.8x	₹0 cr
2024-10	12.8x	₹0 cr
2024-09	14.2x	₹0 cr
2024-08	23.1x	₹0 cr
2024-07	26.7x	₹0 cr
2024-06	18.3x	₹0 cr
2024-05	18.7x	₹0 cr
2024-04	19.2x	₹0 cr
2024-03	16.9x	₹0 cr
2024-02	28.9x	₹-1 cr
2024-01	32.4x	₹-1 cr
2023-12	25.9x	₹-1 cr
2023-11	21.3x	₹-1 cr
2023-10	22.8x	₹-1 cr
2023-09	23.7x	₹-1 cr
2023-08	19.9x	₹-1 cr
2023-07	17.0x	₹-1 cr
2023-06	14.9x	₹-1 cr

Methodology and data notes