अApnaFunda

PRO FX TECH LIMITED (PROFX)

Technology Services · Information Technology Services · 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.82 / 100
Profitability 63Balance sheet 100

Passes these screensQuality CompounderValue PickDebt-light & profitable

Share price

Closing priceAdjusted for splits and bonus issues.

₹66.7 latest close · −7.4% over the last 90 sessions

₹60₹70₹80May 7Jun 8Jul 14Aug 14Sep 17Nov 9 ₹60₹70₹80May 7Jul 31Nov 9

₹66.7 month-end · −16.0% over 12 months

₹60₹70₹80Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹60₹70₹80Nov '25May '26Nov '26

₹66.7 month-end · −40.7% since Jul '25

₹60₹80₹100Jul '25Oct '25Jan '26May '26Aug '26Nov '26 ₹60₹80₹100Jul '25Mar '26Nov '26

52-week range ₹56.00 to ₹117.80 · 1-year volatility 61.0%

Was the rally earned?

-16%share price, 1 yearLower P/E held it back

Earnings helped, the multiple did not.

  • Per-share earnings added 10 points, but investors now pay less per rupee of profit (P/E 8.4x to 6.3x), which took 26 points back.
  • The share count rose 28%.
Net profit growth: +33 pts. Points of the price return explained by net profit growing (or shrinking).+33 ptsNet profit growthP/E change: −26 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−26 ptsP/E changeShare count change: −23 pts. Points of the price return explained by the share count changing. More shares count against the price.−23 ptsShare count changeShare price: −16%−16%Share priceNet profit growth: +33 pts. Points of the price return explained by net profit growing (or shrinking).+33ProfitP/E change: −26 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−26P/EShare count change: −23 pts. Points of the price return explained by the share count changing. More shares count against the price.−23SharesShare price: −16%−16%Share price
Net profit growth+33 ptsNet profit rose about 43%, which lifts the price.
P/E change-26 ptsThe P/E fell from 8.4x to 6.3x, which lowers the price.
Share count change-23 ptsShare count rose 28%, 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 TATA CONSULTANCY SERVICES

How rough has the ride been?

Maximum drawdown-55.8%not yet recovered
1-year volatility61.0%annualised

Drawdown from peak

0%−20%−40%−60%2026−55.8% 0%−20%−40%−60%2026−55.8%
Largest drawdowns

-55.8% (2025-07 peak to 2026-03 low, not yet recovered)

Where does it rank among Technology Services peers?

Each cell is the company's percentile rank among its Technology 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

  • ROCE86th▼ 7 pts vs a year ago
  • Op. margin40th
  • Revenue growth77th
  • EPS growth52nd
  • Debt/equity ↓71st▲ 11 pts vs a year ago
  • Cash cycle ↓16th▼ 5 pts vs a year ago
  • P/E ↓98thflat vs a year ago
  • 12M momentum56th

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 Technology Services sector page Watch it move against Technology Services in the Observatory

What is the price implying?

~9%annual earnings growth implied by the price

At a P/E of 11.7x, the price would imply about 9.3%/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 Technology Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹66.70
P/E
6.3x
ROCE
32.0%
Market Cap
₹116 cr
Revenue (TTM)
₹171 cr
P/S
0.7x
P/B
1.3x
ROE
20.5%
Operating Margin
11.3%
Debt / Equity
0.0x
Promoter Holding
50.3%
12M Momentum
-16.1%

52-week range

₹56.00₹117.80
17% of the way from its 52-week low to its high

Price risk

1Y volatility
61.0%
Beta vs sector
1-year daily
0.14

Balance sheet & cash

Debt service
no meaningful debt
Cash from profit, 3Y
operating cash flow ÷ net profit
-0.17x
low
Share count, 1Y
+38.5%

Are profits backed by cash?

2 of 4checks within range1 beyond a threshold
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 conversion-0.17xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: -0.17x (cash from operations ₹-6 cr, net profit ₹36 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow3 of 5 yrsNear threshold

Fiscal years with positive free cash flow in the last 5: 3. 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 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?

  • Since Sep 2025, FIIs trimmed 1.3 pts; DIIs trimmed 1.2 pts.
  • The number of shareholders fell from 654 to 583 (-11%) between Sep 2025 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '25Jun '26Change
Promoters50.3%50.3%0.0 pts
FIIs1.3%0.0%-1.3 pts
DIIs3.0%1.8%-1.2 pts
Public and others45.4%47.9%+2.5 pts

Number of shareholders

583shareholders-11% since Sep '25
583608633658 Sep '25Dec '25Mar '26Jun '26
Sep '25: 654
Dec '25: 658
Mar '26: 608
Jun '26: 583
583608633658 Sep '25Dec '25Mar '26Jun '26
Sep '25: 654
Dec '25: 658
Mar '26: 608
Jun '26: 583

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

−4.5%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 PRO FX TECH LIMITED today on valuation, return on capital, margins, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −29% to +20% vs the market, against −5% for all non-financial companies in the same months.
  • The gap against the base rate (+0.8%, 80% range −10.4% to +2.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
SAIFL · Sep 2025: −74.5% vs market
SONAMAC · Apr 2025: −62.9% vs market
ZEAL · Jan 2025: −55.6% vs market
SHREEOSFM · Jul 2025: −53.9% vs market
USK · Oct 2024: −49.8% vs market
WTICAB · Mar 2025: −46.6% vs market
RPPINFRA · Feb 2025: −44.2% vs market
SRHHYPOLTD · Jul 2023: −43.7% vs market
ZENITHDRUG · Feb 2025: −39.1% vs market
SHREYANIND · Jan 2020: −38.9% vs market
SHIVAMILLS · Jul 2022: −35.8% vs market
DEVIT · May 2025: −34.7% vs market
TNPETRO · Jun 2022: −30.2% vs market
ARCHIES · Jul 2021: −26.3% vs market
SHRITECH · Dec 2024: −25.0% vs market
AARVI · Aug 2023: −24.8% vs market
GROBTEA · Apr 2022: −24.5% vs market
PDMJEPAPER · May 2025: −21.6% vs market
AMBIKCO · Sep 2022: −19.8% vs market
RUCHIRA · Jun 2023: −17.1% vs market
BRACEPORT · Oct 2025: −15.9% vs market
KNAGRI · Mar 2023: −14.7% vs market
EKC · Aug 2022: −10.4% vs market
MADRASFERT · Sep 2023: −7.8% vs market
NRAIL · Aug 2020: −6.0% vs market
KRITINUT · Apr 2025: −3.0% vs market
QUESTLAB · Oct 2025: −2.8% vs market
FROG · Aug 2025: −2.8% vs market
CYBERTECH · Jul 2025: −2.2% vs market
PROLIFE · Nov 2023: −1.8% vs market
MODISONLTD · May 2022: +2.0% vs market
IMFA · Jun 2022: +2.6% vs market
PASUPTAC · Oct 2022: +2.7% vs market
STEELCITY · Sep 2021: +4.2% vs market
NIRMAN · Jun 2024: +7.6% vs market
REFEX · Feb 2021: +17.0% vs market
EFACTOR · Mar 2025: +20.0% vs market
RKEC · Oct 2020: +20.3% vs market
WANBURY · Oct 2022: +26.5% vs market
TRIGYN · Jan 2020: +31.7% vs market
RADHIKAJWE · Jun 2024: +34.6% vs market
DLINKINDIA · Oct 2023: +35.4% vs market
PARTYCRUS · Sep 2025: +35.9% vs market
MANAKSIA · Dec 2022: +39.3% vs market
CHEMFAB · Aug 2023: +66.7% vs market
CMNL · May 2024: +101.3% vs market
PPL · Jun 2020: +105.4% vs market
IGPL · Feb 2020: +106.6% vs market
INTENTECH · Mar 2021: +112.4% vs market
ASHIMASYN · May 2020: +146.5% vs market
Similar setups −4.5%All companies −5.3%← 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
−4.5%
All companies' median
−5.3%
Beat the market
40% vs 44%

50 past situations · 50 companies · 38 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
SHIVAMILLS
Process Industries
Jul 2022 5x24% −2%−47% −36%
SHREYANIND
Process Industries
Jan 2020 3x35% −11%−36% −39%
GROBTEA
Consumer Non-Durables
Apr 2022 4x42% +28%−27% −25%
ASHIMASYN
Process Industries
May 2020 2x— −60%−61% +147%
BRACEPORT
Transportation
Oct 2025 13x36% −28%−48% −16%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
CHEMFAB
Process Industries
Aug 2023 8x28% +19%−21% +67%
INTENTECH
Technology Services
Mar 2021 4x39% +121%−37% +112%
SRHHYPOLTD
Process Industries
Jul 2023 8x26% +16%−17% −44%
How reliable is this?

Matched on P/E, P/S, ROCE, operating margin, debt/equity, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: 12-month momentum, P/S and drawdown from 12-month high. Not used (unavailable for this company): interest cover. 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 PRO FX TECH LIMITED. 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?

3 events since Mar '26

  1. SepPeer rankSlipped to the 3rd quartile of Technology Services on operating margin (from the 2nd quartile).
  2. JulSharesShare count is up 38.5% over 12 months.
  3. MarPriceFell 56% from the Jul 2025 peak to the Mar 2026 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 history17 months · 2025-07 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-116.3x₹171 cr20.5%32.0%0.0x
2026-105.9x₹171 cr20.5%32.0%0.0x
2026-096.4x₹171 cr20.5%32.0%0.0x
2026-088.1x₹172 cr17.7%32.0%0.0x
2026-077.9x₹172 cr17.7%32.0%0.0x
2026-067.2x₹172 cr17.7%32.0%0.0x
2026-058.9x₹129 cr34.9%51.0%0.1x
2026-047.5x₹129 cr34.9%51.0%0.1x
2026-036.2x₹129 cr34.9%51.0%0.1x
2026-026.3x₹129 cr34.9%51.0%0.1x
2026-017.1x₹129 cr34.9%51.0%0.1x
2025-128.0x₹129 cr34.9%51.0%0.1x
2025-118.4x₹129 cr34.9%51.0%0.1x
2025-109.3x₹129 cr34.9%51.0%0.1x
2025-098.8x₹129 cr34.9%51.0%0.1x
2025-0811.9x₹129 cr34.9%51.0%0.1x
2025-0711.8x₹129 cr34.9%51.0%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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