अApnaFunda

SUNLITE RECYCLING INDU LTD (SUNLITE)

Non-Energy Minerals · Other Metals/Minerals · figures to Nov '26

Momentum scoreHow strong the recent trend is: 3-month price change, 12-month improvement in earnings and the rise in FII + DII holding, among companies above ₹500 cr.63 / 100
Price 96FII/DII 30

Passes these screensHigh Momentum

Share price

Closing priceAdjusted for splits and bonus issues.

₹594.5 latest close · +33.7% over the last 90 sessions

₹400₹500₹600₹700Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹400₹500₹600₹700Jul 3Sep 4Nov 9

₹594.5 month-end · +105.4% over 12 months

₹400₹600Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹400₹600Nov '25May '26Nov '26

₹594.5 month-end · +258.7% since Jun '25

₹200₹400₹600Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹200₹400₹600Jun '25Mar '26Nov '26

52-week range ₹213.00 to ₹753.00 · 1-year volatility 64.2%

Was the rally earned?

+105%share price, 1 yearLower P/E held it back

Mostly yes, with a catch.

  • Per-share earnings added 120 points, but investors now pay less per rupee of profit (P/E 22.1x to 20.0x), which took 14 points back.
  • The share count rose 29%.
Net profit growth: +157 pts. Points of the price return explained by net profit growing (or shrinking).+157 ptsNet profit growthP/E change: −14 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−14 ptsP/E changeShare count change: −38 pts. Points of the price return explained by the share count changing. More shares count against the price.−38 ptsShare count changeShare price: +105%+105%Share priceNet profit growth: +157 pts. Points of the price return explained by net profit growing (or shrinking).+157ProfitP/E change: −14 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−14P/EShare count change: −38 pts. Points of the price return explained by the share count changing. More shares count against the price.−38SharesShare price: +105%+105%Share price
Net profit growth+157 ptsNet profit rose about 193%, which lifts the price.
P/E change-14 ptsThe P/E fell from 22.1x to 20.0x, which lowers the price.
Share count change-38 ptsShare count rose 29%, which lowers 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 HINDUSTAN ZINC

How rough has the ride been?

Maximum drawdown-56.2%recovered 2025-11
1-year volatility64.2%annualised
Beta vs sector index0.773-year daily, correlation 0.26
Volume spikes3last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%20252026−56.2% 0%−20%−40%−60%20252026−56.2%
Largest drawdowns

-56.2% (2024-08 peak to 2025-03 low, recovered 2025-11)

-28.8% (2026-04 peak to 2026-06 low, recovered 2026-09)

-25.5% (2026-01 peak to 2026-03 low, recovered 2026-04)

Most recent volume spikes

2026-09-11: 5.3x the 50-day median, price -3.1% that day

2026-09-10: 7.9x the 50-day median, price +7.6% that day

2026-09-09: 8.6x the 50-day median, price +16.5% 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 Non-Energy Minerals peers?

Each cell is the company's percentile rank among its Non-Energy Minerals 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 growth98th
  • EPS growth89th
  • Debt/equity ↓72nd
  • Cash cycle ↓83rd
  • P/E ↓58th▼ 3 pts vs a year ago
  • 12M momentum97thflat vs a year ago

Rank history

Revenue growth
EPS growth
Debt/equity ↓
Cash cycle ↓
P/E ↓
12M momentum
Dec '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Jul '26Nov '26
Lower rank Higher rank Not enough data

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 Non-Energy Minerals sector page Watch it move against Non-Energy Minerals in the Observatory

What is the price implying?

~15%annual earnings growth implied by the price

At a P/E of 20.0x, the price would imply about 15.2%/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.

What prices imply across Non-Energy Minerals The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹594.50
P/E
20.0x
Market Cap
₹820 cr
Revenue (TTM)
₹2791 cr
P/S
0.3x
P/B
5.1x
ROE
25.3%
Debt / Equity
0.1x
Promoter Holding
74.5%
12M Momentum
105.4%

52-week range

₹213.00₹753.00
71% of the way from its 52-week low to its high

Price risk

1Y volatility
64.2%
Beta vs sector
1-year daily
0.96

Balance sheet & cash

Interest cover
operating profit ÷ interest
19.0x

Are profits backed by cash?

1 of 1checks within rangeAll clear
Other income reliance0%Within range

Other income as a share of pre-tax profit (trailing twelve months): 0.0%. 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, DIIs trimmed 3.2 pts; FIIs trimmed 2.6 pts; promoters added 0.9 pts.
  • The number of shareholders rose from 796 to 901 (+13%) between Sep 2024 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupSep '24Mar '26Change
Promoters73.5%74.5%+0.9 pts
FIIs2.6%0.0%-2.6 pts
DIIs4.0%0.8%-3.2 pts
Public and others19.9%24.7%+4.8 pts

Number of shareholders

901shareholders+13% since Sep '24
702771839908 Sep '24Mar '25Sep '25Mar '26
Sep '24: 796
Dec '24: 821
Mar '25: 767
Jun '25: 742
Sep '25: 702
Dec '25: 908
Mar '26: 901
702771839908 Sep '24Mar '25Sep '25Mar '26
Sep '24: 796
Dec '24: 821
Mar '25: 767
Jun '25: 742
Sep '25: 702
Dec '25: 908
Mar '26: 901

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

−5.0%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 SUNLITE RECYCLING INDU LTD today on valuation, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −31% to +28% vs the market, against −4% for all non-financial companies in the same months.
  • The gap against the base rate (−1.2%, 80% range −14.8% to +2.5%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
SAIFL · Jul 2025: −84.2% vs market
SPECTSTM · Nov 2024: −63.5% vs market
ACCURACY · Jun 2022: −56.2% vs market
USK · Jul 2024: −51.6% vs market
RPPINFRA · Nov 2024: −49.6% vs market
LAMBODHARA · May 2023: −47.8% vs market
SLONE · Aug 2025: −45.4% vs market
KRITINUT · Nov 2024: −44.1% vs market
RAMAPHO · Oct 2025: −40.8% vs market
BIRLACABLE · Aug 2023: −38.7% vs market
TOTAL · Nov 2022: −35.7% vs market
AARVI · Jan 2023: −33.7% vs market
ARCHIDPLY · Sep 2022: −30.9% vs market
KITEX · Jun 2022: −29.6% vs market
DSSL · Jan 2025: −28.6% vs market
TEMBO · Feb 2025: −23.5% vs market
ASALCBR · Jun 2025: −23.3% vs market
VASCONEQ · Aug 2023: −21.3% vs market
TEXMOPIPES · Dec 2021: −19.3% vs market
JOCIL · Aug 2020: −19.3% vs market
GENUSPAPER · Dec 2022: −18.3% vs market
ANIKINDS · Oct 2022: −16.1% vs market
RUCHIRA · Dec 2022: −16.1% vs market
SMLT · Mar 2023: −8.5% vs market
BCLIND · Mar 2022: −6.9% vs market
MODISONLTD · Sep 2024: −3.1% vs market
RADHIKAJWE · Aug 2024: −2.7% vs market
REFEX · Jun 2023: −2.5% vs market
SAKUMA · Aug 2022: −1.2% vs market
SRHHYPOLTD · Dec 2020: −0.8% vs market
MANINDS · Jul 2024: +2.0% vs market
MMP · Jun 2022: +5.5% vs market
PANAMAPET · Jun 2021: +11.4% vs market
AIROLAM · May 2022: +12.0% vs market
DYCL · Sep 2025: +12.3% vs market
FOCE · Mar 2023: +21.5% vs market
DPWIRES · May 2022: +22.1% vs market
AGARIND · Aug 2022: +29.4% vs market
SHARDAMOTR · Sep 2021: +33.3% vs market
PARACABLES · Jul 2023: +39.4% vs market
OCCLLTD · Oct 2025: +51.8% vs market
VINYLINDIA · Jun 2022: +53.8% vs market
POCL · Jun 2025: +57.6% vs market
GALLANTT · Dec 2023: +63.4% vs market
GTPL · Jun 2020: +67.0% vs market
GOKULAGRO · Nov 2021: +69.4% vs market
FORCEMOT · Jul 2024: +94.6% vs market
GOLDIAM · Mar 2020: +117.2% vs market
FORCAS · Sep 2025: +128.4% vs market
ADSL · Apr 2021: +152.4% vs market
Similar setups −5.0%All companies −3.8%← 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
−5.0%
All companies' median
−3.8%
Beat the market
40% vs 46%

50 past situations · 50 companies · 35 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
TOTAL
Transportation
Nov 2022 26x21% +219%−13% −36%
BCLIND
Consumer Non-Durables
Mar 2022 26x17% +316%−13% −7%
DPWIRES
Producer Manufacturing
May 2022 18x29% +139%−20% +22%
TEXMOPIPES
Producer Manufacturing
Dec 2021 19x9% +217%−10% −19%
SAKUMA
Distribution Services
Aug 2022 18x9% +68%−14% −1%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
POCL
Non-Energy Minerals
Jun 2025 40x16% +114%−24% +58%
DSSL
Technology Services
Jan 2025 24x44% +85%−24% −29%
PANAMAPET
Process Industries
Jun 2021 11x34% +461%−5% +11%
How reliable is this?

Matched on P/E, P/S, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: drawdown from 12-month high, P/E and 12-month momentum. Not used (unavailable for this company): ROCE and 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 SUNLITE RECYCLING INDU 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 2026-11-09. 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?

15 events since Mar '25

  1. SepPriceRegained the 2026-04 peak, 3 months after the low.
  2. SepPriceVolume reached 8.6x its 50-day median on 2026-09-09; price +16.5% that day.
  3. JunResultsRevenue (TTM) reached a new high of ₹2,791 cr.
  4. JunPriceFell 29% from the Apr 2026 peak to the Jun 2026 low.
  5. JunDividendStarted paying a dividend (payout 3% of profit).
  6. AprPriceRegained the 2026-01 peak, 1 month after the low.
  7. AprPriceVolume reached 11.7x its 50-day median on 2026-04-27; price +16.4% that day.
  8. MarPriceFell 26% from the Jan 2026 peak to the Mar 2026 low.
Show 7 earlier events
  1. NovPriceRegained the 2024-08 peak, 8 months after the low.
  2. NovPriceVolume reached 35.0x its 50-day median on 2025-11-06; price +6.6% that day.
  3. SepPriceVolume reached 9.5x its 50-day median on 2025-09-15; price +6.2% that day.
  4. MayPriceVolume reached 8.1x its 50-day median on 2025-05-20; price +13.4% that day.
  5. MarInstitutionsFII + DII holding fell 4.6 pts over 1 quarter to 1.9%.
  6. MarPriceFell 56% from the Aug 2024 peak to the Mar 2025 low.
  7. MarPriceVolume reached 7.1x its 50-day median on 2025-03-27; price -5.2% 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

Monthly history18 months · 2025-06 to 2026-11
MonthP/ERevenue (TTM)ROEDebt / Equity
2026-1120.0x₹2791 cr25.3%0.1x
2026-1021.9x₹2791 cr25.3%0.1x
2026-0920.8x₹2791 cr25.3%0.1x
2026-0818.4x₹2791 cr25.3%0.1x
2026-0715.6x₹2791 cr25.3%0.1x
2026-0614.6x₹2791 cr25.3%0.1x
2026-0535.1x₹1397 cr——
2026-0437.4x₹1397 cr——
2026-0327.7x₹1397 cr——
2026-0226.2x₹1397 cr——
2026-0129.8x₹1397 cr——
2025-1223.6x₹1397 cr——
2025-1122.1x₹1397 cr——
2025-1015.5x₹1397 cr——
2025-0913.3x₹1397 cr——
2025-0812.1x₹1397 cr——
2025-0712.6x₹1397 cr——
2025-0612.6x₹1397 cr——

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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