अApnaFunda

KODY TECHNOLAB LIMITED (KODYTECH)

Technology Services · Packaged Software · 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.79 / 100
Profitability 58Balance 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.70 / 100
Price 81FII/DII 59

Passes these screensHigh MomentumDebt-light & profitableNear 52-week high

Share price

Closing priceAdjusted for splits and bonus issues.

₹1,529.15 latest close · +36.4% over the last 90 sessions

₹1,200₹1,400₹1,600Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹1,200₹1,400₹1,600Jul 3Sep 4Nov 9

₹1,529.15 month-end · +66.2% over 12 months

₹1,000₹1,500Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹1,000₹1,500Nov '25May '26Nov '26

₹1,529.15 month-end · +96.5% since Jun '25

₹500₹1,000₹1,500Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹500₹1,000₹1,500Jun '25Mar '26Nov '26

52-week range ₹623.00 to ₹1603.00 · 1-year volatility 48.5%

Was the rally earned?

+66%share price, 1 yearMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 66.6x to 130.4x); per-share earnings took off 21 points.
  • The share count rose 11%.
Net profit growth: −8 pts. Points of the price return explained by net profit growing (or shrinking).−8 ptsNet profit growthP/E change: +88 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+88 ptsP/E changeShare count change: −13 pts. Points of the price return explained by the share count changing. More shares count against the price.−13 ptsShare count changeShare price: +66%+66%Share priceNet profit growth: −8 pts. Points of the price return explained by net profit growing (or shrinking).−8ProfitP/E change: +88 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+88P/EShare count change: −13 pts. Points of the price return explained by the share count changing. More shares count against the price.−13SharesShare price: +66%+66%Share price
Net profit growth-8 ptsNet profit fell about 6%, which lowers the price.
P/E change+88 ptsThe P/E rose from 66.6x to 130.4x, which lifts the price.
Share count change-13 ptsShare count rose 11%, 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 ONE 97 COMMUNICATIONS PAYTM

How rough has the ride been?

Maximum drawdown-72.1%not yet recovered
1-year volatility48.5%annualised
Beta vs sector index0.593-year daily, correlation 0.18
Volume spikes6last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%202420252026−72.1% 0%−20%−40%−60%202420252026−72.1%
Largest drawdowns

-72.1% (2024-07 peak to 2025-10 low, not yet recovered)

-31.2% (2024-02 peak to 2024-04 low, recovered 2024-05)

-17.4% (2023-11 peak to 2023-12 low, recovered 2023-12)

Most recent volume spikes

2026-10-19: 10.4x the 50-day median, price +0.2% that day

2026-08-31: 7.4x the 50-day median, price +5.0% that day

2026-08-19: 6.6x the 50-day median, price -0.9% 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 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

  • ROCE58th
  • Revenue growth46th
  • EPS growth21st
  • Debt/equity ↓65th▲ 29 pts vs a year ago
  • Cash cycle ↓9thflat vs a year ago
  • P/E ↓7th▼ 6 pts vs a year ago
  • 12M momentum98th▲ 79 pts vs a year ago

Rank history

ROCE
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?

~39%annual earnings growth implied by the price

At a P/E of 130.4x, the price would imply about 39.0%/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 Technology Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹1529.15
P/E
130.4x
ROCE
18.0%
Market Cap
₹2205 cr
Revenue (TTM)
₹80 cr
P/S
27.6x
P/B
10.3x
ROE
7.9%
Debt / Equity
0.0x
Promoter Holding
72.7%
12M Momentum
66.2%

52-week range

₹623.00₹1603.00
92% of the way from its 52-week low to its high

Price risk

1Y volatility
48.5%
Beta vs sector
1-year daily
0.41

Balance sheet & cash

Interest cover
operating profit ÷ interest
14.0x
Share count, 1Y
+7.7%

Are profits backed by cash?

0 of 1checks within range1 near a threshold
Other income reliance27%Near threshold

Other income as a share of pre-tax profit (trailing twelve months): 26.9%. 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, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders rose from 997 to 2,938 (+195%) between Sep 2023 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupSep '23Mar '26Change
Promoters73.0%72.7%-0.3 pts
FIIs0.0%0.1%+0.1 pts
DIIs0.0%0.1%+0.1 pts
Public and others27.0%27.0%0.0 pts

Number of shareholders

2,938shareholders+195% since Sep '23
9972k3k3k Sep '23Sep '24Dec '24Mar '25Sep '25Mar '26
Sep '23: 997
Sep '24: 1,529
Dec '24: 2,006
Mar '25: 2,778
Sep '25: 3,430
Mar '26: 2,938
9972k3k3k Sep '23Dec '24Sep '25Mar '26
Sep '23: 997
Sep '24: 1,529
Dec '24: 2,006
Mar '25: 2,778
Sep '25: 3,430
Mar '26: 2,938

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

−4.8%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 KODY TECHNOLAB LIMITED today on valuation, return on capital, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −24% to +17% vs the market, against −6% for all non-financial companies in the same months.
  • The gap against the base rate (+1.3%, 80% range −7.1% to +6.7%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
COHANCE · Feb 2025: −78.4% vs market
ESFL · Dec 2024: −73.5% vs market
ANUP · Mar 2025: −52.6% vs market
MOLDTECH · May 2023: −47.8% vs market
MIDHANI · Mar 2020: −45.0% vs market
IXIGO · Aug 2025: −44.0% vs market
ARVSMART · Nov 2024: −42.7% vs market
KIRLPNU · Oct 2024: −34.4% vs market
MAANALU · Sep 2024: −30.5% vs market
ADVENZYMES · Sep 2020: −28.1% vs market
APCOTEXIND · Jun 2022: −25.3% vs market
GENESYS · Aug 2024: −24.7% vs market
EMAMILTD · Jan 2021: −24.2% vs market
BORORENEW · May 2022: −23.9% vs market
HINDCOPPER · Dec 2023: −22.9% vs market
SILVERTUC · Nov 2023: −18.7% vs market
ACE · Mar 2024: −15.0% vs market
MCX · Apr 2020: −13.7% vs market
RATEGAIN · Oct 2023: −13.5% vs market
AMRUTANJAN · Feb 2020: −13.2% vs market
KFINTECH · Nov 2024: −12.6% vs market
VIJAYA · Mar 2025: −12.1% vs market
AZAD · Dec 2024: −9.1% vs market
SUZLON · Jul 2024: −5.7% vs market
PGHL · Mar 2020: −5.0% vs market
TASTYBITE · Feb 2020: −4.6% vs market
KPITTECH · May 2023: −4.5% vs market
INGERRAND · Apr 2023: −2.2% vs market
BALAMINES · Apr 2021: +0.9% vs market
SHANTIGEAR · Mar 2023: +1.6% vs market
WENDT · Jun 2022: +2.8% vs market
NEWGEN · Apr 2024: +4.5% vs market
POLYMED · Aug 2023: +8.4% vs market
EMUDHRA · Mar 2024: +8.7% vs market
PARAS · Jun 2024: +11.1% vs market
SIRCA · Sep 2022: +12.5% vs market
ASTRAZEN · Jan 2020: +13.9% vs market
CDSL · May 2021: +17.6% vs market
ASTRAMICRO · May 2024: +20.4% vs market
DATAPATTNS · Apr 2023: +20.9% vs market
LLOYDSENGG · Jun 2025: +21.7% vs market
LINDEINDIA · Jan 2022: +22.3% vs market
THYROCARE · Jul 2025: +24.3% vs market
ASTRAL · Mar 2020: +27.7% vs market
HBLENGINE · Nov 2023: +34.0% vs market
POWERINDIA · Jul 2025: +52.0% vs market
SAREGAMA · May 2021: +54.6% vs market
ACUTAAS · Feb 2025: +68.7% vs market
BSE · Oct 2023: +72.0% vs market
RPEL · Oct 2025: +125.2% vs market
Similar setups −4.8%All companies −6.1%← 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 · 1 beyond the range shown, drawn at the edge

Similar setups' median
−4.8%
All companies' median
−6.1%
Beat the market
44% vs 43%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
EMUDHRA
Technology Services
Mar 2024 96x24% +252%−7% +9%
WENDT
Producer Manufacturing
Jun 2022 62x23% +92%−8% +3%
ANUP
Producer Manufacturing
Mar 2025 94x17% +120%−7% −53%
DATAPATTNS
Electronic Technology
Apr 2023 92x33% +108%−2% +21%
SAREGAMA
Consumer Services
May 2021 96x15% +857%0% +55%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
ESFL
Producer Manufacturing
Dec 2024 98x17% +294%−1% −74%
KPITTECH
Technology Services
May 2023 106x24% +101%0% −5%
POLYMED
Health Technology
Aug 2023 78x18% +72%−1% +8%
How reliable is this?

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

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

Process Industries
63%similar
revenuedebt/equity
Finance
57%similar
market caprevenue
Industrial Services
53%similar
debt/equityrevenue
Electronic Technology
50%similar
P/Epromoter holding
Miscellaneous
48%similar
promoter holdingROCE
Technology Services
50%similar
debt/equityrevenue
Technology Services
38%similar
promoter holdingmarket cap
Technology Services
32%similar
promoter holdingmarket cap

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

What changed?

15 events since Dec '23

  1. OctPriceVolume reached 10.4x its 50-day median on 2026-10-19; price +0.2% that day.
  2. JulPriceVolume reached 49.1x its 50-day median on 2026-07-09; price +4.4% that day.
  3. JunResultsRevenue (TTM) reached a new high of ₹80 cr.
  4. JunSharesShare count is up 7.7% over 12 months.
  5. JunPriceVolume reached 17.3x its 50-day median on 2026-06-22; price +1.8% that day.
  6. NovPriceVolume reached 16.2x its 50-day median on 2025-11-28; price +10.6% that day.
  7. OctPriceFell 72% from the Jul 2024 peak to the Oct 2025 low.
  8. SepPriceVolume reached 9.9x its 50-day median on 2025-09-12; price +1.9% that day.
Show 7 earlier events
  1. MarPriceVolume reached 12.1x its 50-day median on 2025-03-17; price -19.8% that day.
  2. OctPriceVolume reached 5.8x its 50-day median on 2024-10-29; price -6.2% that day.
  3. MayPriceRegained the 2024-02 peak, 1 month after the low.
  4. MayPriceVolume reached 6.3x its 50-day median on 2024-05-09; price -4.5% that day.
  5. AprPriceFell 31% from the Feb 2024 peak to the Apr 2024 low.
  6. JanPriceVolume reached 19.7x its 50-day median on 2024-01-17; price +5.0% that day.
  7. DecPriceVolume reached 5.1x its 50-day median on 2023-12-15; price +12.9% 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)ROEROCEDebt / Equity
2026-11130.4x₹80 cr7.9%18.0%0.0x
2026-10126.4x₹80 cr7.9%18.0%0.0x
2026-09131.0x₹80 cr7.9%18.0%0.0x
2026-08127.0x₹80 cr7.9%18.0%0.0x
2026-07121.0x₹80 cr7.9%18.0%0.0x
2026-0692.7x₹80 cr7.9%18.0%0.0x
2026-0561.8x₹72 cr22.8%—0.2x
2026-0451.2x₹72 cr22.8%—0.2x
2026-0350.0x₹72 cr22.8%—0.2x
2026-0261.4x₹72 cr22.8%—0.2x
2026-0152.3x₹72 cr22.8%—0.2x
2025-1265.9x₹72 cr22.8%—0.2x
2025-1166.6x₹72 cr22.8%—0.2x
2025-1041.2x₹72 cr22.8%—0.2x
2025-0947.7x₹72 cr22.8%—0.2x
2025-0853.6x₹72 cr22.8%—0.2x
2025-0758.8x₹72 cr22.8%—0.2x
2025-0656.3x₹72 cr22.8%—0.2x

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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