अApnaFunda

HEXA TRADEX LIMITED (HEXATRADEX)

Distribution Services · Wholesale Distributors · 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.69 / 100
Profitability 10Growth 97Balance sheet 100
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.54 / 100
Price 62FII/DII 47

Share price

Closing priceAdjusted for splits and bonus issues.

₹156.3 latest close · −1.1% over the last 90 sessions

₹150₹160Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹150₹160Jul 3Sep 4Nov 9

₹156.3 month-end · −5.7% over 12 months

₹150₹160Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹150₹160Nov '25May '26Nov '26

₹156.3 month-end · +8.4% over 3 years

₹200₹300Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹200₹300Nov '23May '25Nov '26

₹156.3 month-end · +646.1% since Feb '19

₹0₹100₹200₹300Feb '19Sep '20Mar '22Oct '23Apr '25Nov '26 ₹0₹100₹200₹300Feb '19Jan '23Nov '26

52-week range ₹138.00 to ₹180.55 · 1-year volatility 21.8%

How rough has the ride been?

Maximum drawdown-79.3%recovered 2020-08
1-year volatility21.8%annualised
Beta vs sector index0.223-year daily, correlation 0.20
Volume spikes3last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−25%−50%−75%2020202120222023202420252026−78.4% 0%−25%−50%−75%2020202220242026−78.4%
Largest drawdowns

-79.3% (2019-04 peak to 2019-09 low, recovered 2020-08)

-61.6% (2024-09 peak to 2026-10 low, not yet recovered)

-47.7% (2021-08 peak to 2022-02 low, recovered 2022-04)

Most recent volume spikes

2026-10-27: 13.1x the 50-day median, price -6.7% that day

2026-09-09: 5.4x the 50-day median, price -0.7% that day

2026-07-27: 26.4x the 50-day median, price +1.4% 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).

Where it ranks today

  • ROCE10th▼ 3 pts vs a year ago
  • Op. margin5th▼ 3 pts vs a year ago
  • Revenue growth32nd▲ 30 pts vs a year ago
  • EPS growth8th
  • Debt/equity ↓91st▲ 4 pts vs a year ago
  • Cash cycle ↓93rd▼ 4 pts vs a year ago
  • P/E ↓20th
  • 12M momentum60th▲ 42 pts vs a year ago

Rank history

ROCE
Op. margin
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 Distribution Services sector page Watch it move against Distribution Services in the Observatory

What is the price implying?

Trailing earnings per share are negative, so a P/E-based figure does not exist. See the loss-makers list on the Expectations Gap page for a revenue-based version.

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

What prices imply across Distribution Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹156.30
ROCE
-0.1%
Market Cap
₹863 cr
Revenue (TTM)
₹5 cr
P/S
188.5x
P/B
0.2x
ROE
-0.1%
Debt / Equity
0.0x
Promoter Holding
92.1%
12M Momentum
-5.7%

52-week range

₹138.00₹180.55
43% of the way from its 52-week low to its high

Price risk

1Y volatility
21.8%
Beta vs sector
1-year daily
0.16

Balance sheet & cash

Interest cover
operating profit ÷ interest
-3.0x
Cash from profit, 3Y
operating cash flow ÷ net profit
1.96x
Share count, 1Y
unchanged

Are profits backed by cash?

3 of 4checks within range1 near a threshold
Other income reliance—Not enough data

Not enough reported data to compute this.

Tax rate—Not enough data

Not enough reported data to compute this.

Cash conversion1.96xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 1.96x (cash from operations ₹115.2 cr, net profit ₹58.6 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 history0 daysWithin range

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

Capital work in progress0% of fixed assetsWithin range

Capital work-in-progress is 0% of fixed assets. Bands: not rising or up to 30%; rising for three years and above 30%; rising and above 60%.

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 3 years, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders rose from 13,673 to 14,558 (+6%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters92.1%92.1%0.0 pts
FIIs0.1%0.1%0.0 pts
DIIs0.1%0.0%0.0 pts
Public and others7.8%7.8%0.0 pts

Number of shareholders

14,558shareholders+6% since Sep '23
14k14k15k15k Sep '23Dec '24Sep '25Mar '26Jun '26
Sep '23: 13,673
Dec '23: 13,879
Dec '24: 14,667
Jun '25: 15,094
Sep '25: 15,051
Dec '25: 14,835
Mar '26: 14,581
Jun '26: 14,558
14k14k15k15k Sep '23Jun '25Mar '26Jun '26
Sep '23: 13,673
Dec '23: 13,879
Dec '24: 14,667
Jun '25: 15,094
Sep '25: 15,051
Dec '25: 14,835
Mar '26: 14,581
Jun '26: 14,558

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

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

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 else looks like this?

Companies with the most similar financial profile today, regardless of industry.

Finance
69%similar
revenue growthROCE
Finance
67%similar
revenuerevenue growth
Producer Manufacturing
63%similar
revenueROCE
Finance
51%similar
revenuedebt/equity
SANDESHSANDESH
Consumer Services
51%similar
market capdebt/equity
MMTCMMTC
Distribution Services
0%similar
revenuepromoter holding
Distribution Services
0%similar
market caprevenue growth
Distribution Services
0%similar
volatilitymarket cap

Similarity is statistical, based on reported metrics; it does not imply similar business quality or future returns.

What changed?

30 events since Aug '21

  1. OctPriceFell 62% from the Sep 2024 peak to the Oct 2026 low.
  2. OctPriceVolume reached 13.1x its 50-day median on 2026-10-27; price -6.7% that day.
  3. JulPriceVolume reached 26.4x its 50-day median on 2026-07-27; price +1.4% that day.
  4. JunPriceVolume reached 11.0x its 50-day median on 2026-06-04; price +0.6% that day.
  5. MarResultsEPS (TTM) turned negative.
  6. FebPriceVolume reached 37.2x its 50-day median on 2026-02-06; price -0.5% that day.
  7. DecResultsEPS (TTM) turned positive.
  8. SepPriceVolume reached 9.4x its 50-day median on 2025-09-10; price +1.1% that day.
Show 22 earlier events
  1. JunPeer rankSlipped to the bottom quartile of Distribution Services on operating margin (from the top quartile).
  2. JunPriceVolume reached 9.5x its 50-day median on 2025-06-09; price -2.5% that day.
  3. FebPriceVolume reached 8.1x its 50-day median on 2025-02-10; price +10.0% that day.
  4. DecResultsEPS (TTM) turned negative.
  5. DecPriceVolume reached 8.4x its 50-day median on 2024-12-03; price +4.5% that day.
  6. AugPriceRegained the 2022-04 peak, 14 months after the low.
  7. JulPriceVolume reached 30.3x its 50-day median on 2024-07-02; price -4.0% that day.
  8. JunResultsEPS (TTM) turned positive.
  9. JunPriceVolume reached 40.4x its 50-day median on 2024-06-28; price -4.6% that day.
  10. JanPriceVolume reached 53.0x its 50-day median on 2024-01-16; price +7.7% that day.
  11. DecPriceVolume reached 23.7x its 50-day median on 2023-12-15; price +9.7% that day.
  12. AugPriceVolume reached 52.2x its 50-day median on 2023-08-10; price +7.3% that day.
  13. JunPriceFell 39% from the Apr 2022 peak to the Jun 2023 low.
  14. JanPriceVolume reached 20.5x its 50-day median on 2023-01-05; price -1.9% that day.
  15. DecPriceVolume reached 14.8x its 50-day median on 2022-12-27; price -1.2% that day.
  16. JunResultsEPS (TTM) turned negative.
  17. AprPriceRegained the 2021-08 peak, 2 months after the low.
  18. AprPriceVolume reached 33.6x its 50-day median on 2022-04-13; price +8.3% that day.
  19. MarPriceVolume reached 55.2x its 50-day median on 2022-03-17; price -4.3% that day.
  20. FebPriceFell 48% from the Aug 2021 peak to the Feb 2022 low.
  21. NovPriceVolume reached 11.1x its 50-day median on 2021-11-12; price -4.0% that day.
  22. AugPriceRegained the 2021-07 peak, 1 month after the 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 history94 months · 2019-02 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-11—₹5 cr-0.1%-0.1%0.0x
2026-10—₹5 cr-0.1%-0.1%0.0x
2026-09—₹5 cr-0.1%-0.1%0.0x
2026-08—₹5 cr-0.2%-0.1%0.0x
2026-07—₹5 cr-0.2%-0.1%0.0x
2026-06—₹5 cr-0.2%-0.1%0.0x
2026-05—₹5 cr-0.2%0.1%0.0x
2026-04—₹5 cr-0.2%0.1%0.0x
2026-03—₹5 cr-0.2%0.1%0.0x
2026-0241.3x₹5 cr0.5%0.1%0.0x
2026-0141.4x₹5 cr0.5%0.1%0.0x
2025-1242.0x₹5 cr0.5%0.1%0.0x
2025-11—₹5 cr-0.5%0.1%0.0x
2025-10—₹5 cr-0.5%0.1%0.0x
2025-09—₹5 cr-0.5%0.1%0.0x
2025-08—₹5 cr-0.6%0.1%0.0x
2025-07—₹5 cr-0.6%0.1%0.0x
2025-06—₹5 cr-0.6%0.1%0.0x
2025-05—₹-1 cr-0.6%3.9%0.0x
2025-04—₹-1 cr-0.6%3.9%0.0x
2025-03—₹-1 cr-0.6%3.9%0.0x
2025-02—₹40 cr-0.5%3.9%0.0x
2025-01—₹40 cr-0.5%3.9%0.0x
2024-12—₹40 cr-0.5%3.9%0.0x
2024-1160.3x₹41 cr0.7%3.9%0.0x
2024-1054.6x₹41 cr0.7%3.9%0.0x
2024-0959.9x₹41 cr0.7%3.9%0.0x
2024-0820.2x₹133 cr2.4%3.9%0.0x
2024-0713.4x₹133 cr2.4%3.9%0.0x
2024-0612.0x₹133 cr2.4%3.9%0.0x
2024-05—₹1 cr-1.1%-0.2%0.3x
2024-04—₹1 cr-1.1%-0.2%0.3x
2024-03—₹1 cr-1.1%-0.2%0.3x
2024-02—₹1 cr-1.1%-0.2%0.3x
2024-01—₹1 cr-1.1%-0.2%0.3x
2023-12—₹1 cr-1.1%-0.2%0.3x
2023-11—₹1 cr-1.1%-0.2%0.3x
2023-10—₹1 cr-1.1%-0.2%0.3x
2023-09—₹1 cr-1.1%-0.2%0.3x
2023-08—₹1 cr-1.1%-0.2%0.3x
2023-07—₹1 cr-1.1%-0.2%0.3x
2023-06—₹1 cr-1.1%-0.2%0.3x
2023-05—₹0 cr-1.1%0.6%0.2x
2023-04—₹0 cr-1.1%0.6%0.2x
2023-03—₹0 cr-1.1%0.6%0.2x
2023-02—₹0 cr-1.1%0.6%0.2x
2023-01—₹0 cr-1.1%0.6%0.2x
2022-12—₹0 cr-1.1%0.6%0.2x
2022-11—₹0 cr-1.1%0.6%0.2x
2022-10—₹0 cr-1.1%0.6%0.2x
2022-09—₹0 cr-1.1%0.6%0.2x
2022-08—₹0 cr-1.1%0.6%0.2x
2022-07—₹0 cr-1.1%0.6%0.2x
2022-06—₹0 cr-1.1%0.6%0.2x
2022-05105.2x₹0 cr0.8%1.4%0.0x
2022-04129.4x₹0 cr0.8%1.4%0.0x
2022-0395.1x₹0 cr0.8%1.4%0.0x
2022-0271.2x₹0 cr0.8%1.4%0.0x
2022-0176.9x₹0 cr0.8%1.4%0.0x
2021-1278.0x₹0 cr0.8%1.4%0.0x
2021-1174.7x₹0 cr0.8%1.4%0.0x
2021-1087.9x₹0 cr0.8%1.4%0.0x
2021-0996.5x₹0 cr0.8%1.4%0.0x
2021-08114.7x₹0 cr0.8%1.4%0.0x
2021-0774.1x₹0 cr0.8%1.4%0.0x
2021-0670.0x₹0 cr0.8%1.4%0.0x
2021-05—₹0 cr-8.4%-8.9%0.0x
2021-04—₹0 cr-8.4%-8.9%0.0x
2021-03—₹0 cr-8.4%-8.9%0.0x
2021-02—₹0 cr-8.4%-8.9%0.0x
2021-01—₹0 cr-8.4%-8.9%0.0x
2020-12—₹0 cr-8.4%-8.9%0.0x
2020-11—₹0 cr-8.4%-8.9%0.0x
2020-10—₹0 cr-8.4%-8.9%0.0x
2020-09—₹0 cr-8.4%-8.9%0.0x
2020-08—₹0 cr-8.4%-8.9%0.0x
2020-07—₹0 cr-8.4%-8.9%0.0x
2020-06—₹0 cr-8.4%-8.9%0.0x
2020-051.1x₹0 cr16.4%14.7%0.1x
2020-04—₹0 cr16.4%14.7%0.1x
2020-03—₹0 cr16.4%14.7%0.1x
2020-021.1x₹0 cr16.4%14.7%0.1x
2020-011.5x₹0 cr16.4%14.7%0.1x
2019-12—₹0 cr16.4%14.7%0.1x
2019-111.2x₹0 cr16.4%14.7%0.1x
2019-101.5x₹0 cr16.4%14.7%0.1x
2019-09—₹0 cr16.4%14.7%0.1x
2019-081.2x₹0 cr16.4%14.7%0.1x
2019-071.6x₹0 cr16.4%14.7%0.1x
2019-061.6x₹0 cr16.4%14.7%0.1x
2019-05—₹1 cr-19.8%-16.1%0.1x
2019-04—₹1 cr-19.8%-16.1%0.1x
2019-03—₹1 cr-19.8%-16.1%0.1x
2019-02—₹1 cr-19.8%-16.1%0.1x

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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