SILKFLEX POLYMERS LTD (SILKFLEX): Financials & Fundamentals History

Share Price

₹298.50

P/E

28.5x

ROCE

23.0%

Market Cap

₹347 cr

Revenue (TTM)

₹110 cr

P/S

3.2x

P/B

7.2x

ROE

25.3%

Debt / Equity

1.3x

Promoter Holding

70.1%

12M Momentum

253.3%

P/E vs its own history90th percentilesince May '24

P/E vs Process Industries1.6xthe sector median

52-week range

₹76.00₹309.05

95% of the way from its 52-week low to its high

Price risk

1Y volatility

59.8%

Beta vs sector

1-year daily

0.55

Balance sheet & cash

Interest cover

operating profit ÷ interest

5.3x

Cash from profit, 3Y

operating cash flow ÷ net profit

0.61x

Share count, 1Y

unchanged

Was the rally earned?

+253%share price, 1 yearEarnings and multiple

Both mattered.

Per-share earnings added 111 points and the multiple added 143 points (P/E 14.0x to 28.5x).
The share count barely moved.

Net profit growth+111 ptsNet profit rose about 74%, which lifts the price.

P/E change+143 ptsThe P/E rose from 14.0x to 28.5x, 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 this with ASIAN PAINTS INDIA

Is it expensive against its own past and its peers?

28.5xP/E todayNear its historic high

Against its own history90th percentileMedian 16.8x; usual range 13.9x to 28.6x since 2024-05.

Against Process Industries28.5x vs 18.0xAbove the Process Industries median.

P/EP/BP/S

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

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

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

How to read this

Shaded band: 10th to 90th percentile of the company's own P/E history; dashed line: its median; orange line: sector median (companies with a positive multiple, at least 5 in the sector).

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 Process Industries is valued

What is the price implying?

~30%annual earnings growth implied by the price

At a P/E of 68.4x, the price would imply about 30.4%/yr earnings growth for 10 years under the same assumptions, but it is not ranked.

Below the ₹1,000 cr market-cap floor used for the lists.

“Implied growth” is what the current price would require under our stated assumptions, not what we expect.

What prices imply across Process Industries The market-wide Expectations lists

What changed?

Sep '26P/E crossed above the 90th percentile of its own history to date (26.1x).
Jun '26Revenue (TTM) reached a new high of ₹110 cr.
Jun '26Regained the 2026-04 peak, 0 months after the low.
Jun '26Fell 30% from the Apr 2026 peak to the Jun 2026 low.
Jun '26Moved into the top quartile of Process Industries on EPS growth (from the 2nd quartile).
Jun '26Debt / equity rose above 1.0x (1.29x).
May '26P/E crossed above the 90th percentile of its own history to date (29.0x).
Apr '26Regained the 2026-03 peak, 1 month after the low.

Show 7 earlier events

Mar '26Fell 27% from the Mar 2026 peak to the Mar 2026 low.
Feb '26Regained the 2024-09 peak, 12 months after the low.
Jun '25Revenue (TTM) reached a new high of ₹80 cr.
Jun '25Slipped to the 2nd quartile of Process Industries on EPS growth (from the top quartile).
Jun '25Share count is up 50.0% over 12 months.
Feb '25Fell 52% from the Sep 2024 peak to the Feb 2025 low.
Jun '24Moved into the top quartile of Process Industries on ROCE (from the 3rd quartile).

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, 2 near a threshold, 1 beyond a threshold.
Tap a check to see how it is measured.

Other income reliance6%Within range

Other income as a share of pre-tax profit (trailing twelve months): 6.3%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion0.61xNear threshold

Operating cash flow divided by net profit over the last three fiscal years: 0.61x (cash from operations ₹14 cr, net profit ₹23 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow0 of 5 yrsBeyond threshold

Fiscal years with positive free cash flow in the last 5: 0. Bands: at least 80% of years, 40% to 80%, below 40%.

Receivable days vs history+21 daysNear threshold

Debtor days are above the median of the previous three fiscal years by 21 days (65 vs 44). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress9% of fixed assetsWithin range

Capital work-in-progress is 9% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

Payable days-14 days / 2 yrsWithin range

Days payable changed by -14 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, DIIs added 4.2 pts.

Holdings, Jun '26

How each group changed

GroupSep '24Jun '26Change

Promoters69.9%70.1%+0.3 pts

FIIs———

DIIs4.8%8.9%+4.2 pts

Public and others25.4%20.9%-4.4 pts

Number of shareholders

443shareholders-3% since Sep '24

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-51.9%recovered 2026-02

1-year volatility59.8%annualised

Monthly share price

Last 90 trading days

Drawdown from peak

Largest drawdowns

-51.9% (2024-09 peak to 2025-02 low, recovered 2026-02)

-30.4% (2026-04 peak to 2026-06 low, recovered 2026-06)

-26.9% (2026-03 peak to 2026-03 low, recovered 2026-04)

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).

ROCE

Revenue growth

EPS growth

Debt/equity ↓

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 Process Industries sector page Watch it move against Process Industries in the Observatory

What happened next to similar setups

−7.4%typical 12-month return vs the marketBelow the base rate

We found 50 past situations where a non-financial company looked like SILKFLEX POLYMERS LTD today on valuation, return on capital, debt, growth, price momentum, size and volatility.
Over the following 12 months the middle half of them returned −41% to +30% vs the market, against −5% for all non-financial companies in the same months.
The analogs' median sat below that base rate (gap −2.7%, 80% range −15.7% to −0.2%), but the matches cluster in only 6 distinct 12-month windows.

Where the 50 outcomes landed

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 · 4 beyond the range shown, drawn at the edge

Similar setups' median

−7.4%

All companies' median

−4.7%

Beat the market

40% vs 45%

50 past situations · 50 companies · 36 months · 2020–2025

The closest matches

Company	When	P/E	ROCE	12M mom.	Drawdown	Next 12 months
KECL Producer Manufacturing	Jun 2023	28x	21%	+417%	0%	+1%
RAMASTEEL Non-Energy Minerals	Oct 2022	48x	21%	+221%	0%	−5%
RAJRATAN Producer Manufacturing	Jun 2021	30x	23%	+618%	0%	+126%
STEELXIND Non-Energy Minerals	Aug 2020	14x	—	+250%	−5%	+33%
VADILALIND Consumer Non-Durables	Jan 2023	46x	19%	+231%	−3%	−23%

Show the other 3 matches

Company	When	P/E	ROCE	12M mom.	Drawdown	Next 12 months
KRISHANA Process Industries	Aug 2025	41x	22%	+134%	−4%	+54%
CANTABIL Consumer Non-Durables	Aug 2022	66x	22%	+328%	0%	−39%
APRAMEYA Industrial Services	Sep 2025	32x	—	+354%	−6%	−62%

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: interest cover, drawdown from 12-month high and P/E. 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 SILKFLEX POLYMERS LTD. 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

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 (30 months)

Month	P/E	Revenue (TTM)	ROE	ROCE	Debt / Equity
2026-10	28.5x	₹110 cr	25.3%	23.0%	1.3x
2026-09	26.1x	₹110 cr	25.0%	23.0%	1.3x
2026-08	23.2x	₹110 cr	25.0%	23.0%	1.3x
2026-07	20.2x	₹110 cr	25.0%	23.0%	1.3x
2026-06	20.4x	₹110 cr	25.0%	23.0%	1.3x
2026-05	29.0x	₹80 cr	19.4%	24.0%	1.0x
2026-04	37.7x	₹80 cr	19.4%	24.0%	1.0x
2026-03	17.1x	₹80 cr	19.4%	24.0%	1.0x
2026-02	23.2x	₹80 cr	19.4%	24.0%	1.0x
2026-01	16.4x	₹80 cr	19.4%	24.0%	1.0x
2025-12	15.1x	₹80 cr	19.4%	24.0%	1.0x
2025-11	14.4x	₹80 cr	19.4%	24.0%	1.0x
2025-10	14.0x	₹80 cr	19.4%	24.0%	1.0x
2025-09	15.5x	₹80 cr	19.4%	24.0%	1.0x
2025-08	13.3x	₹80 cr	19.4%	24.0%	1.0x
2025-07	14.7x	₹80 cr	19.4%	24.0%	1.0x
2025-06	17.4x	₹80 cr	19.4%	24.0%	1.0x
2025-05	19.8x	₹50 cr	31.2%	28.0%	1.3x
2025-04	14.5x	₹50 cr	31.2%	28.0%	1.3x
2025-03	15.9x	₹50 cr	31.2%	28.0%	1.3x
2025-02	11.2x	₹50 cr	31.2%	28.0%	1.3x
2025-01	15.8x	₹50 cr	31.2%	28.0%	1.3x
2024-12	16.3x	₹50 cr	31.2%	28.0%	1.3x
2024-11	16.5x	₹50 cr	31.2%	28.0%	1.3x
2024-10	15.4x	₹50 cr	31.2%	28.0%	1.3x
2024-09	17.5x	₹50 cr	31.2%	28.0%	1.3x
2024-08	17.4x	₹50 cr	31.2%	28.0%	1.3x
2024-07	18.9x	₹50 cr	31.2%	28.0%	1.3x
2024-06	12.2x	₹50 cr	31.2%	28.0%	1.3x
2024-05	52.4x	₹44 cr	2.5%	11.0%	1.8x

Methodology and data notes