अApnaFunda

GTL LIMITED (GTL)

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.36 / 100
Profitability 54Growth 18

Newly listed or thinly covered: fundamentals appear here once there is enough reported history. Prices and market cap are up to date.

Share price

Closing priceAdjusted for splits and bonus issues.

₹6.78 latest close · −12.6% over the last 90 sessions

₹6₹7₹8Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹6₹7₹8Jul 3Sep 4Nov 9

₹6.78 month-end · −18.9% over 12 months

₹5₹6₹7₹8Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹5₹6₹7₹8Nov '25May '26Nov '26

₹6.78 month-end · −12.5% over 3 years

₹5₹10₹15Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹5₹10₹15Nov '23May '25Nov '26

₹6.78 month-end · −9.0% since Jan '19

₹0₹10₹20Jan '19Aug '20Mar '22Sep '23Apr '25Nov '26 ₹0₹10₹20Jan '19Dec '22Nov '26

52-week range ₹4.91 to ₹9.33 · 1-year volatility 44.3%

Was the rally earned?

-19%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 0.2x to 0.1x); per-share earnings took off 0 points.
  • The share count barely moved.
P/E change: −19 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−19 ptsP/E changeShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0 ptsShare count changeShare price: −19%−19%Share priceP/E change: −19 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−19P/EShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0SharesShare price: −19%−19%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-19 ptsThe P/E fell from 0.2x to 0.1x, which lowers the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
-13%share price, 3 yearsMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 0.2x to 0.1x); per-share earnings took off 0 points.
  • The share count barely moved.
P/E change: −12 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−12 ptsP/E changeShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0 ptsShare count changeShare price: −12%−12%Share priceP/E change: −12 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−12P/EShare count change: 0 pts. Points of the price return explained by the share count changing. More shares count against the price.0SharesShare price: −12%−12%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-12 ptsThe P/E fell from 0.2x to 0.1x, which lowers the price.
Share count change0 ptsShare count was little changed. More shares would count against the price.
-54%share price, 5 yearsLower P/E held it back

Earnings helped, the multiple did not.

  • Per-share earnings added 226 points, but investors now pay less per rupee of profit (P/E 7.6x to 0.1x), which took 280 points back.
  • The share count rose 2%.
Net profit growth: +227 pts. Points of the price return explained by net profit growing (or shrinking).+227 ptsNet profit growthP/E change: −280 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−280 ptsP/E changeShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1 ptsShare count changeShare price: −54%−54%Share priceNet profit growth: +227 pts. Points of the price return explained by net profit growing (or shrinking).+227ProfitP/E change: −280 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−280P/EShare count change: −1 pts. Points of the price return explained by the share count changing. More shares count against the price.−1SharesShare price: −54%−54%Share price
Net profit growth+227 ptsNet profit rose about 2540%, which lifts the price.
P/E change-280 ptsThe P/E fell from 7.6x to 0.1x, which lowers the price.
Share count change-1 ptsShare count rose 2%, 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.

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-88.3%recovered 2021-01
1-year volatility44.3%annualised

Drawdown from peak

0%−25%−50%−75%2020202120222023202420252026−87.1% 0%−25%−50%−75%2020202220242026−87.1%
Largest drawdowns

-88.3% (2019-01 peak to 2020-03 low, recovered 2021-01)

-84.4% (2021-07 peak to 2023-03 low, not yet recovered)

-37.9% (2021-01 peak to 2021-03 low, recovered 2021-05)

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

  • Op. margin54thflat vs a year ago
  • Revenue growth18th▼ 8 pts vs a year ago
  • P/E ↓100th
  • 12M momentum51st▲ 24 pts vs a year ago

Rank history

Op. margin
Revenue growth
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

Key figures

Share Priceclose 9 Nov
₹6.78
Market Cap
₹107 cr
Revenue (TTM)
₹199 cr
Operating Margin
16.0%
Promoter Holding
14.3%
12M Momentum
-18.9%

52-week range

₹4.91₹9.33
42% of the way from its 52-week low to its high

Price risk

1Y volatility
44.3%
Beta vs sector
1-year daily
0.39

Balance sheet & cash

Interest cover
operating profit ÷ interest
35.4x
Share count, 1Y
unchanged

Per-share figures around a recent split, bonus issue or demerger may not yet be consistent.

Are profits backed by cash?

2 of 4checks within range2 beyond a threshold
Other income reliance103%Beyond threshold

Other income as a share of pre-tax profit (trailing twelve months): 103.3%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate0%Beyond threshold

Median quarterly effective tax rate over about 2.5 years: 0.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion—Not enough data

Not enough reported data to compute this.

Free cash flow5 of 5 yrsWithin range

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

  • Over 3 years, DIIs trimmed 2.9 pts.
  • The number of shareholders rose from 1.3 lakh to 1.6 lakh (+27%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters14.3%14.3%0.0 pts
FIIs0.4%0.1%-0.3 pts
DIIs11.3%8.4%-2.9 pts
Public and others74.0%77.2%+3.2 pts

Number of shareholders

1.6 lakhshareholders+27% since Sep '23
1.3L1.4L1.6L1.7L Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 1.3 lakh
Dec '23: 1.3 lakh
Mar '24: 1.4 lakh
Jun '24: 1.4 lakh
Sep '24: 1.5 lakh
Dec '24: 1.7 lakh
Mar '25: 1.7 lakh
Jun '25: 1.7 lakh
Sep '25: 1.7 lakh
Dec '25: 1.6 lakh
Mar '26: 1.6 lakh
Jun '26: 1.6 lakh
1.3L1.4L1.6L1.7L Sep '23Sep '24Sep '25Jun '26
Sep '23: 1.3 lakh
Dec '23: 1.3 lakh
Mar '24: 1.4 lakh
Jun '24: 1.4 lakh
Sep '24: 1.5 lakh
Dec '24: 1.7 lakh
Mar '25: 1.7 lakh
Jun '25: 1.7 lakh
Sep '25: 1.7 lakh
Dec '25: 1.6 lakh
Mar '26: 1.6 lakh
Jun '26: 1.6 lakh

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

−2.6%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 GTL LIMITED today on valuation, margins, debt, growth, price momentum and size.
  • Over the following 12 months the middle half of them returned −21% to +72% vs the market, against −4% for all non-financial companies in the same months.
  • The gap against the base rate (+1.2%, 80% range −5.3% to +6.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
ORIENTPPR · Jul 2024: −44.4% vs market
ARCHIES · Oct 2025: −41.1% vs market
PONNIERODE · Aug 2024: −41.0% vs market
LIBAS · Nov 2024: −36.7% vs market
NAGREEKEXP · Jan 2025: −34.6% vs market
PIONEEREMB · Apr 2022: −34.4% vs market
BALKRISHNA · Apr 2024: −34.1% vs market
INDSWFTLAB · Aug 2024: −30.0% vs market
RADIOCITY · Oct 2025: −29.6% vs market
TRANSWORLD · Feb 2023: −28.9% vs market
SATIA · Jul 2024: −27.4% vs market
TNPETRO · May 2022: −24.1% vs market
PANACEABIO · Apr 2023: −21.2% vs market
ALPHAGEO · Apr 2020: −20.3% vs market
ZEELEARN · Feb 2025: −20.2% vs market
INDIANCARD · May 2023: −19.8% vs market
AMBIKCO · Apr 2024: −14.9% vs market
SESHAPAPER · Jun 2024: −12.4% vs market
SSDL · Oct 2025: −12.0% vs market
WSTCSTPAPR · Aug 2024: −11.3% vs market
RUCHIRA · Dec 2024: −8.2% vs market
SHREYANIND · Aug 2024: −7.8% vs market
HMVL · Apr 2021: −5.8% vs market
DCMNVL · May 2023: −3.3% vs market
KMSUGAR · Jul 2025: −2.7% vs market
ORICONENT · Nov 2022: −2.5% vs market
PASUPTAC · Dec 2023: −2.0% vs market
INDIANHUME · Aug 2025: −1.6% vs market
VETO · Aug 2025: +3.1% vs market
ASPINWALL · Dec 2023: +5.2% vs market
NRAIL · Aug 2024: +6.4% vs market
UMIYA-MRO · May 2023: +9.9% vs market
JMA · Jan 2020: +16.1% vs market
BANG · Sep 2020: +21.7% vs market
DTIL · Apr 2021: +27.4% vs market
MANAKSIA · Dec 2022: +39.2% vs market
WILLAMAGOR · Sep 2021: +58.3% vs market
PPL · Jun 2023: +77.1% vs market
CLSEL · Jun 2024: +82.5% vs market
LAMBODHARA · May 2020: +90.9% vs market
VINDHYATEL · May 2022: +96.4% vs market
REFEX · Mar 2022: +110.0% vs market
PRAKASH · Apr 2023: +112.7% vs market
SALSTEEL · Sep 2020: +115.1% vs market
DPWIRES · Aug 2020: +129.4% vs market
TRIGYN · Jun 2020: +132.1% vs market
USHAMART · Oct 2020: +158.1% vs market
KELLTONTEC · Jun 2020: +163.7% vs market
IZMO · Jan 2023: +206.8% vs market
TI · Nov 2020: +228.6% vs market
Similar setups −2.6%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 · 9 beyond the range shown, drawn at the edge

Similar setups' median
−2.6%
All companies' median
−3.8%
Beat the market
44% vs 46%

50 past situations · 50 companies · 32 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
NAGREEKEXP
Process Industries
Jan 2025 —— −14%−37% −35%
UMIYA-MRO
Industrial Services
May 2023 1x— −14%−30% +10%
SHREYANIND
Process Industries
Aug 2024 4x31% +21%−20% −8%
ZEELEARN
Consumer Services
Feb 2025 1x16% −26%−43% −20%
DCMNVL
Unclassified
May 2023 2x— −23%−31% −3%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
PANACEABIO
Health Technology
Apr 2023 1x-6% −23%−28% −21%
RUCHIRA
Process Industries
Dec 2024 7x16% −3%−19% −8%
ASPINWALL
Transportation
Dec 2023 7x12% +6%−13% +5%
How reliable is this?

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

11 events since Mar '20

  1. JunPeer rankMoved into the 2nd quartile of Technology Services on operating margin (from the 3rd quartile).
  2. MarPeer rankSlipped to the 3rd quartile of Technology Services on operating margin (from the 2nd quartile).
  3. SepPeer rankMoved into the 2nd quartile of Technology Services on operating margin (from the 3rd quartile).
  4. JunPeer rankSlipped to the 3rd quartile of Technology Services on operating margin (from the 2nd quartile).
  5. DecPeer rankSlipped to the 2nd quartile of Technology Services on operating margin (from the top quartile).
  6. MarPriceFell 84% from the Jul 2021 peak to the Mar 2023 low.
  7. MayPriceRegained the 2021-01 peak, 2 months after the low.
  8. MarPriceFell 38% from the Jan 2021 peak to the Mar 2021 low.
Show 3 earlier events
  1. JanPriceRegained the 2019-01 peak, 10 months after the low.
  2. SepResultsEPS (TTM) turned positive.
  3. MarPriceFell 88% 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
MonthP/ERevenue (TTM)
2026-11—₹199 cr
2026-10—₹199 cr
2026-09—₹199 cr
2026-08—₹199 cr
2026-07—₹199 cr
2026-06—₹199 cr
2026-05—₹199 cr
2026-04—₹199 cr
2026-03—₹199 cr
2026-02—₹199 cr
2026-01—₹199 cr
2025-12—₹199 cr
2025-11—₹199 cr
2025-10—₹199 cr
2025-09—₹199 cr
2025-08—₹199 cr
2025-07—₹199 cr
2025-06—₹199 cr
2025-05—₹199 cr
2025-04—₹199 cr
2025-03—₹199 cr
2025-02—₹199 cr
2025-01—₹199 cr
2024-12—₹199 cr
2024-11—₹199 cr
2024-10—₹199 cr
2024-09—₹199 cr
2024-08—₹199 cr
2024-07—₹199 cr
2024-06—₹199 cr
2024-05—₹199 cr
2024-04—₹199 cr
2024-03—₹199 cr
2024-02—₹199 cr
2024-01—₹199 cr
2023-12—₹199 cr
2023-11—₹199 cr
2023-10—₹199 cr
2023-09—₹199 cr
2023-08—₹199 cr
2023-07—₹199 cr
2023-06—₹199 cr
2023-05—₹199 cr
2023-04—₹199 cr
2023-03—₹199 cr
2023-02—₹199 cr
2023-01—₹199 cr
2022-12—₹199 cr
2022-11—₹199 cr
2022-10—₹199 cr
2022-09—₹199 cr
2022-08—₹199 cr
2022-07—₹199 cr
2022-06—₹199 cr
2022-05—₹199 cr
2022-04—₹199 cr
2022-03—₹199 cr
2022-02—₹218 cr
2022-01—₹218 cr
2021-121.1x₹218 cr
2021-117.6x₹221 cr
2021-106.9x₹221 cr
2021-097.9x₹221 cr
2021-085.1x₹221 cr
2021-077.5x₹221 cr
2021-069.0x₹221 cr
2021-05—₹217 cr
2021-04—₹217 cr
2021-03—₹217 cr
2021-02—₹202 cr
2021-01—₹202 cr
2020-12—₹202 cr
2020-115.5x₹234 cr
2020-105.7x₹234 cr
2020-095.8x₹234 cr
2020-08—₹216 cr
2020-07—₹216 cr
2020-06—₹216 cr
2020-05—₹203 cr
2020-04—₹203 cr
2020-03—₹203 cr
2020-02—₹205 cr
2020-01—₹205 cr
2019-12—₹205 cr
2019-11—₹219 cr
2019-10—₹219 cr
2019-09—₹219 cr
2019-08—₹219 cr
2019-07—₹219 cr
2019-06—₹219 cr
2019-05—₹995 cr
2019-04—₹995 cr
2019-03—₹995 cr
2019-02—₹995 cr
2019-01—₹995 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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