अApnaFunda

NAGREEKA EXPORTS LTD (NAGREEKEXP)

Process Industries · Textiles · figures to Nov '26

Quality scoreHow the business itself ranks against its sector peers on profitability, 3-year growth and leverage. 50 is the middle of the sector.33 / 100
Growth 36Balance sheet 29

Share price

Closing priceAdjusted for splits and bonus issues.

₹21.24 latest close · −17.1% over the last 90 sessions

₹20₹22₹24₹26Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹20₹22₹24₹26Jul 3Sep 4Nov 9

₹21.24 month-end · −22.3% over 12 months

₹20₹25Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹20₹25Nov '25May '26Nov '26

₹21.24 month-end · −32.0% over 3 years

₹20₹30₹40Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹20₹30₹40Nov '23May '25Nov '26

₹21.24 month-end · +72.7% since Jan '19

₹20₹40Jan '19Aug '20Mar '22Sep '23Apr '25Nov '26 ₹20₹40Jan '19Dec '22Nov '26

52-week range ₹17.50 to ₹30.89 · 1-year volatility 42.4%

Was the rally earned?

-22%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 2.4x to 1.9x); per-share earnings added 0 points.
  • The share count barely moved.
P/E change: −22 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−22 ptsP/E changeShare price: −22%−22%Share priceP/E change: −22 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−22P/EShare price: −22%−22%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-22 ptsThe P/E fell from 2.4x to 1.9x, which lowers the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
-32%share price, 3 yearsMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 2.8x to 1.9x); per-share earnings added 0 points.
  • The share count barely moved.
P/E change: −32 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−32 ptsP/E changeShare price: −32%−32%Share priceP/E change: −32 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−32P/EShare price: −32%−32%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-32 ptsThe P/E fell from 2.8x to 1.9x, which lowers the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
+22%share price, 5 yearsMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 1.6x to 1.9x); per-share earnings added 0 points.
  • The share count barely moved.
P/E change: +22 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+22 ptsP/E changeShare price: +22%+22%Share priceP/E change: +22 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+22P/EShare price: +22%+22%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change+22 ptsThe P/E rose from 1.6x to 1.9x, 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.

Net profit is trailing twelve months as reported with a 60-day lag.

Compare this with VARDHMAN TEXTILES LIMTED

How rough has the ride been?

Maximum drawdown-70.7%recovered 2021-06
1-year volatility42.4%annualised

Drawdown from peak

0%−20%−40%−60%2020202120222023202420252026−70.4% 0%−20%−40%−60%2020202220242026−70.4%
Largest drawdowns

-70.7% (2019-01 peak to 2020-03 low, recovered 2021-06)

-68.4% (2024-08 peak to 2026-03 low, not yet recovered)

-60.1% (2022-04 peak to 2023-03 low, recovered 2023-12)

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).

Where it ranks today

  • Revenue growth27th▼ 4 pts vs a year ago
  • Debt/equity ↓25thflat vs a year ago
  • Cash cycle ↓60thflat vs a year ago
  • 12M momentum30th▼ 4 pts vs a year ago

Rank history

Revenue growth
Debt/equity ↓
Cash cycle ↓
12M momentum
Dec '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Jul '26Nov '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

Key figures

Share Priceclose 9 Nov
₹21.24
Market Cap
₹66 cr
Revenue (TTM)
₹178 cr
P/S
0.4x
P/B
0.6x
ROE
33.3%
Debt / Equity
0.8x
Promoter Holding
57.3%
12M Momentum
-22.3%

52-week range

₹17.50₹30.89
28% of the way from its 52-week low to its high

Price risk

1Y volatility
42.4%
Beta vs sector
1-year daily
1.10

Balance sheet & cash

Interest cover
operating profit ÷ interest
13.0x
Share count, 1Y
unchanged

Are profits backed by cash?

2 of 3checks within range1 beyond a threshold
Other income reliance162%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 162.2%. 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 history0 daysWithin range

Debtor days are below the median of the previous three fiscal years by 0 days (71 vs 71). Bands: under 15 days, 15 to 45, over 45.

Capital work in progress—Not enough data

Not enough reported data to compute this.

Payable days0 days / 2 yrsWithin range

Days payable changed by 0 over two years. Bands: rise of up to 30 days; more than 30 days.

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, promoters added 4.5 pts.
  • The number of shareholders rose from 9,276 to 11,766 (+27%) between Dec 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupDec '23Jun '26Change
Promoters52.9%57.3%+4.5 pts
FIIs0.0%0.0%0.0 pts
DIIs0.0%0.0%0.0 pts
Public and others47.1%42.7%-4.4 pts

Number of shareholders

11,766shareholders+27% since Dec '23
9k11k12k13k Dec '23Sep '24Mar '25Sep '25Jun '26
Dec '23: 9,276
Mar '24: 11,561
Sep '24: 13,077
Dec '24: 12,664
Mar '25: 12,570
Jun '25: 12,339
Sep '25: 12,341
Dec '25: 12,111
Jun '26: 11,766
9k11k12k13k Dec '23Dec '24Sep '25Jun '26
Dec '23: 9,276
Mar '24: 11,561
Sep '24: 13,077
Dec '24: 12,664
Mar '25: 12,570
Jun '25: 12,339
Sep '25: 12,341
Dec '25: 12,111
Jun '26: 11,766

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

−2.3%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 NAGREEKA EXPORTS LTD today on valuation, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −20% to +15% vs the market, against −4% for all non-financial companies in the same months.
  • The gap against the base rate (+1.5%, 80% range −5.4% to +4.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PRLIND · Oct 2025: −52.5% vs market
BABAFP · Mar 2025: −47.3% vs market
ARCHIES · Oct 2025: −41.3% vs market
NIPPOBATRY · Mar 2025: −35.8% vs market
ISFT · May 2025: −27.2% vs market
PIONEEREMB · Sep 2023: −26.9% vs market
SAHYADRI · May 2024: −25.6% vs market
GEEKAYWIRE · Apr 2021: −25.1% vs market
ROML · Mar 2023: −23.7% vs market
CORDSCABLE · Jun 2021: −22.8% vs market
OSWALSEEDS · Oct 2025: −22.7% vs market
BALKRISHNA · Jul 2025: −20.6% vs market
ZEELEARN · Feb 2025: −20.2% vs market
SSDL · Oct 2025: −18.8% vs market
JAYSREETEA · Mar 2025: −17.4% vs market
AKSHARCHEM · Apr 2025: −14.7% vs market
AGROPHOS · Jun 2025: −13.1% vs market
DCMNVL · Feb 2024: −9.7% vs market
BVCL · Jun 2021: −8.7% vs market
UCAL · Dec 2022: −8.7% vs market
MHHL · Feb 2021: −7.9% vs market
SPORTKING · Nov 2023: −7.2% vs market
PATINTLOG · Jun 2022: −6.8% vs market
KMSUGAR · May 2023: −5.2% vs market
NRAIL · Apr 2022: −2.5% vs market
AROGRANITE · Jan 2020: −2.0% vs market
HARRMALAYA · Dec 2022: +0.6% vs market
TEXMOPIPES · Sep 2025: +0.6% vs market
PARACABLES · Oct 2020: +1.7% vs market
PRITIKAUTO · Sep 2022: +1.9% vs market
REMSONSIND · Apr 2022: +7.2% vs market
SHIVAMILLS · Mar 2020: +7.8% vs market
UMIYA-MRO · May 2023: +9.8% vs market
HITECHCORP · Jan 2020: +9.9% vs market
BIGBLOC · Dec 2023: +10.1% vs market
HISARMETAL · Apr 2022: +12.3% vs market
IVP · Aug 2025: +12.8% vs market
WIPL · Oct 2023: +15.9% vs market
ARIES · Oct 2022: +21.9% vs market
SUPERHOUSE · Nov 2021: +30.7% vs market
BEARDSELL · Jan 2021: +34.4% vs market
ORIENTPPR · Jul 2022: +40.5% vs market
LAMBODHARA · Apr 2020: +45.0% vs market
DPABHUSHAN · Feb 2023: +65.0% vs market
MADHUSUDAN · Sep 2025: +70.2% vs market
AIROLAM · Mar 2021: +105.4% vs market
REFEX · Mar 2022: +110.0% vs market
SALONA · Sep 2020: +125.1% vs market
SCPL · Oct 2025: +155.9% vs market
SKMEGGPROD · May 2022: +177.3% vs market
Similar setups −2.3%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 · 5 beyond the range shown, drawn at the edge

Similar setups' median
−2.3%
All companies' median
−3.8%
Beat the market
48% vs 46%

50 past situations · 50 companies · 37 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
LAMBODHARA
Process Industries
Apr 2020 3x12% −43%−52% +45%
BALKRISHNA
Process Industries
Jul 2025 4x-6% −21%−29% −21%
PIONEEREMB
Consumer Non-Durables
Sep 2023 15x3% +14%−14% −27%
BABAFP
Process Industries
Mar 2025 11x15% −23%−34% −47%
SKMEGGPROD
Process Industries
May 2022 10x14% −3%−33% +177%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
KMSUGAR
Process Industries
May 2023 6x15% −16%−20% −5%
ROML
Process Industries
Mar 2023 44x15% −21%−43% −24%
OSWALSEEDS
Process Industries
Oct 2025 10x10% −35%−38% −23%
How reliable is this?

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

12 events since Mar '20

  1. MarPriceFell 68% from the Aug 2024 peak to the Mar 2026 low.
  2. AugPriceRegained the 2024-03 peak, 2 months after the low.
  3. JunPromoterPromoter holding rose 4.5 pts to 57.3%.
  4. JunPriceFell 38% from the Mar 2024 peak to the Jun 2024 low.
  5. MarPriceRegained the 2024-01 peak, 0 months after the low.
  6. MarPriceFell 32% from the Jan 2024 peak to the Mar 2024 low.
  7. DecPriceRegained the 2022-04 peak, 9 months after the low.
  8. MarPriceFell 60% from the Apr 2022 peak to the Mar 2023 low.
Show 4 earlier events
  1. AprPriceRegained the 2021-08 peak, 6 months after the low.
  2. OctPriceFell 42% from the Aug 2021 peak to the Oct 2021 low.
  3. JunPriceRegained the 2019-01 peak, 15 months after the low.
  4. MarPriceFell 71% from the Jan 2019 peak to the Mar 2020 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 history95 months · 2019-01 to 2026-11
MonthRevenue (TTM)ROEDebt / Equity
2026-11₹178 cr33.3%0.8x
2026-10₹178 cr33.3%0.8x
2026-09₹178 cr33.3%0.8x
2026-08₹178 cr33.3%0.8x
2026-07₹178 cr33.3%0.8x
2026-06₹178 cr33.3%0.8x
2026-05₹178 cr33.3%0.8x
2026-04₹178 cr33.3%0.8x
2026-03₹178 cr33.3%0.8x
2026-02₹178 cr33.3%0.8x
2026-01₹178 cr33.3%0.8x
2025-12₹178 cr33.3%0.8x
2025-11₹178 cr33.3%0.8x
2025-10₹178 cr33.3%0.8x
2025-09₹178 cr33.3%0.8x
2025-08₹178 cr33.3%0.8x
2025-07₹178 cr33.3%0.8x
2025-06₹178 cr33.3%0.8x
2025-05₹178 cr33.3%0.8x
2025-04₹178 cr33.3%0.8x
2025-03₹178 cr33.3%0.8x
2025-02₹178 cr33.3%0.8x
2025-01₹178 cr33.3%0.8x
2024-12₹178 cr33.3%0.8x
2024-11₹178 cr33.3%0.8x
2024-10₹178 cr33.3%0.8x
2024-09₹178 cr33.3%0.8x
2024-08₹178 cr33.3%0.8x
2024-07₹178 cr33.3%0.8x
2024-06₹178 cr33.3%0.8x
2024-05₹178 cr33.3%0.8x
2024-04₹178 cr33.3%0.8x
2024-03₹178 cr33.3%0.8x
2024-02₹178 cr33.3%0.8x
2024-01₹178 cr33.3%0.8x
2023-12₹178 cr33.3%0.8x
2023-11₹178 cr33.3%0.8x
2023-10₹178 cr33.3%0.8x
2023-09₹178 cr33.3%0.8x
2023-08₹178 cr33.3%0.8x
2023-07₹178 cr33.3%0.8x
2023-06₹178 cr33.3%0.8x
2023-05₹178 cr33.3%0.8x
2023-04₹178 cr33.3%0.8x
2023-03₹178 cr33.3%0.8x
2023-02₹178 cr33.3%0.8x
2023-01₹178 cr33.3%0.8x
2022-12₹178 cr33.3%0.8x
2022-11₹178 cr33.3%0.8x
2022-10₹178 cr33.3%0.8x
2022-09₹178 cr33.3%0.8x
2022-08₹178 cr33.3%0.8x
2022-07₹178 cr33.3%0.8x
2022-06₹178 cr33.3%0.8x
2022-05₹178 cr33.3%0.8x
2022-04₹178 cr33.3%0.8x
2022-03₹178 cr33.3%0.8x
2022-02₹178 cr33.3%0.8x
2022-01₹178 cr33.3%0.8x
2021-12₹178 cr33.3%0.8x
2021-11₹178 cr33.3%0.8x
2021-10₹178 cr33.3%0.8x
2021-09₹178 cr33.3%0.8x
2021-08₹178 cr33.3%0.8x
2021-07₹178 cr33.3%0.8x
2021-06₹178 cr33.3%0.8x
2021-05₹178 cr33.3%0.8x
2021-04₹178 cr33.3%0.8x
2021-03₹178 cr33.3%0.8x
2021-02₹178 cr33.3%0.8x
2021-01₹178 cr33.3%0.8x
2020-12₹178 cr33.3%0.8x
2020-11₹178 cr33.3%0.8x
2020-10₹178 cr33.3%0.8x
2020-09₹178 cr33.3%0.8x
2020-08₹178 cr33.3%0.8x
2020-07₹178 cr33.3%0.8x
2020-06₹178 cr33.3%0.8x
2020-05₹178 cr33.3%0.8x
2020-04₹178 cr33.3%0.8x
2020-03₹178 cr33.3%0.8x
2020-02₹178 cr33.3%0.8x
2020-01₹178 cr33.3%0.8x
2019-12₹178 cr33.3%0.8x
2019-11₹178 cr33.3%0.8x
2019-10₹178 cr33.3%0.8x
2019-09₹178 cr33.3%0.8x
2019-08₹178 cr33.3%0.8x
2019-07₹178 cr33.3%0.8x
2019-06₹178 cr33.3%0.8x
2019-05₹178 cr33.3%0.8x
2019-04₹178 cr33.3%0.8x
2019-03₹178 cr33.3%0.8x
2019-02₹178 cr33.3%0.8x
2019-01₹178 cr33.3%0.8x

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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