अApnaFunda

DIGITIDE SOLUTIONS LIMITED (DIGITIDE)

Technology Services · Data Processing 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.31 / 100
Profitability 36Balance sheet 26
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.4 / 100
Price 1FII/DII 8

Share price

Closing priceAdjusted for splits and bonus issues.

₹64.01 latest close · −37.4% over the last 90 sessions

₹60₹80₹100₹120Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹60₹80₹100₹120Jul 3Sep 4Nov 9

₹64.01 month-end · −55.0% over 12 months

₹75₹100₹125₹150Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹75₹100₹125₹150Nov '25May '26Nov '26

₹64.01 month-end · −67.4% since Jun '25

₹100₹200Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹100₹200Jun '25Mar '26Nov '26

52-week range ₹58.22 to ₹158.85 · 1-year volatility 52.0%

How rough has the ride been?

Maximum drawdown-77.4%not yet recovered
1-year volatility52.0%annualised
Volume spikes9last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−25%−50%−75%2026−77.4% 0%−25%−50%−75%2026−77.4%
Largest drawdowns

-77.4% (2025-07 peak to 2026-11 low, not yet recovered)

-18.4% (2025-06 peak to 2025-07 low, recovered 2025-07)

Most recent volume spikes

2026-11-04: 6.3x the 50-day median, price +3.7% that day

2026-11-03: 23.7x the 50-day median, price -4.8% that day

2026-10-13: 6.1x the 50-day median, price +5.7% that day

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

  • ROCE35th
  • Op. margin38thflat vs a year ago
  • Revenue growth36th
  • Debt/equity ↓14thflat vs a year ago
  • Cash cycle ↓51st▼ 11 pts vs a year ago
  • 12M momentum7th

Rank history

ROCE
Op. margin
Revenue growth
Debt/equity ↓
Cash cycle ↓
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?

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 Technology Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹64.01
ROCE
10.0%
Market Cap
₹956 cr
Revenue (TTM)
₹3120 cr
P/S
0.3x
P/B
1.1x
ROE
-2.9%
Operating Margin
9.9%
Debt / Equity
0.6x
Promoter Holding
57.3%
12M Momentum
-55.0%

52-week range

₹58.22₹158.85
6% of the way from its 52-week low to its high

Price risk

1Y volatility
52.0%
Beta vs sector
1-year daily
0.55

Balance sheet & cash

Interest cover
operating profit ÷ interest
1.4x

Are profits backed by cash?

1 of 1checks within rangeAll clear
Other income reliance-100%Within range

Other income as a share of pre-tax profit (trailing twelve months): -100.0%. 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?

  • Since Jun 2025, FIIs trimmed 2.3 pts; DIIs trimmed 1.3 pts.
  • The number of shareholders fell from 1.1 lakh to 81,384 (-27%) between Jun 2025 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupJun '25Jun '26Change
Promoters57.0%57.3%+0.4 pts
FIIs9.4%7.1%-2.3 pts
DIIs12.6%11.3%-1.3 pts
Public and others21.0%24.3%+3.3 pts

Number of shareholders

81,384shareholders-27% since Jun '25
81k91k1.0L1.1L Jun '25Sep '25Dec '25Mar '26Jun '26
Jun '25: 1.1 lakh
Sep '25: 1.1 lakh
Dec '25: 99,335
Mar '26: 85,011
Jun '26: 81,384
81k91k1.0L1.1L Jun '25Dec '25Jun '26
Jun '25: 1.1 lakh
Sep '25: 1.1 lakh
Dec '25: 99,335
Mar '26: 85,011
Jun '26: 81,384

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

+33.3%typical 12-month return vs the marketAbove the base rate
  • We found 50 past situations where a non-financial company looked like DIGITIDE SOLUTIONS 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 +2% to +77% vs the market, against +2% for all non-financial companies in the same months.
  • The analogs' median sat above that base rate (gap +30.9%, 80% range +16.9% to +41.6%), but the matches cluster in only 6 distinct 12-month windows.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PALREDTEC · Mar 2024: −66.7% vs market
TAKE · Feb 2021: −58.2% vs market
ACLGATI · Apr 2024: −44.4% vs market
ORIENTLTD · Feb 2021: −37.2% vs market
NECLIFE · Sep 2021: −28.8% vs market
KANORICHEM · Dec 2023: −28.5% vs market
HIMATSEIDE · May 2022: −27.4% vs market
EVERESTIND · Oct 2025: −20.0% vs market
ESSARSHPNG · Apr 2021: −16.6% vs market
HINDWAREAP · Jan 2025: −9.8% vs market
DCAL · May 2022: −8.6% vs market
THOMASCOOK · Dec 2020: −6.2% vs market
OMAXAUTO · Feb 2020: +1.3% vs market
SHIVAMAUTO · Apr 2020: +5.6% vs market
HUBTOWN · Feb 2020: +10.2% vs market
COFFEEDAY · Jan 2025: +10.5% vs market
HCC · Mar 2020: +13.3% vs market
BASML · Jun 2021: +14.4% vs market
GILLANDERS · Jan 2020: +15.4% vs market
BIL · Jun 2022: +17.4% vs market
DYNPRO · Nov 2023: +21.5% vs market
WALCHANNAG · Dec 2021: +22.3% vs market
PPAP · Jul 2024: +25.6% vs market
HTMEDIA · Jun 2020: +26.1% vs market
SADBHIN · Aug 2023: +33.1% vs market
SEPC · Nov 2020: +33.5% vs market
SETCO · Feb 2020: +37.2% vs market
RSWM · Jan 2020: +38.9% vs market
INDSWFTLAB · Jul 2022: +42.8% vs market
PATELENG · Jul 2021: +44.1% vs market
KHADIM · Dec 2020: +55.0% vs market
PRSMJOHNSN · Aug 2020: +55.6% vs market
JAYAGROGN · Aug 2020: +55.7% vs market
INDTERRAIN · Apr 2021: +58.2% vs market
KESORAMIND · Jun 2020: +65.6% vs market
BALAJITELE · Feb 2025: +71.5% vs market
TEXRAIL · Apr 2021: +75.7% vs market
AXISCADES · Aug 2021: +77.1% vs market
MUKANDLTD · Feb 2020: +80.6% vs market
GMRP&UI · Mar 2023: +80.8% vs market
TRANSWORLD · Jun 2020: +84.0% vs market
KDDL · Jul 2020: +92.8% vs market
MAWANASUG · Jan 2021: +102.6% vs market
CAMLINFINE · Aug 2024: +119.3% vs market
RICOAUTO · Mar 2022: +123.8% vs market
INDORAMA · Jul 2020: +127.2% vs market
BLKASHYAP · Jul 2020: +190.4% vs market
TOTAL · Nov 2021: +192.3% vs market
V2RETAIL · Feb 2023: +192.7% vs market
RPOWER · Nov 2020: +195.0% vs market
Similar setups +33.3%All companies +2.4%← 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 · 8 beyond the range shown, drawn at the edge

Similar setups' median
+33.3%
All companies' median
+2.4%
Beat the market
76% vs 52%

50 past situations · 50 companies · 34 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
PATELENG
Industrial Services
Jul 2021 —6% +8%−32% +44%
INDSWFTLAB
Health Technology
Jul 2022 —7% −48%−48% +43%
HTMEDIA
Consumer Services
Jun 2020 —5% −55%−59% +26%
HCC
Industrial Services
Mar 2020 —12% −74%−75% +13%
TEXRAIL
Producer Manufacturing
Apr 2021 —8% 0%−27% +76%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
GMRP&UI
Industrial Services
Mar 2023 —8% −53%−57% +81%
INDORAMA
Process Industries
Jul 2020 —— −56%−57% +127%
TRANSWORLD
Transportation
Jun 2020 —3% −58%−58% +84%
How reliable is this?

Matched on P/S, ROCE, operating margin, debt/equity, interest cover, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: interest cover, drawdown from 12-month high and 12-month momentum. Not used (unavailable for this company): P/E. This company is loss-making, so it was only compared with loss-making companies. 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 DIGITIDE SOLUTIONS 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.

Producer Manufacturing
69%similar
operating marginrevenue
Process Industries
68%similar
promoter holdingoperating margin
Process Industries
65%similar
promoter holdingdebt/equity
Consumer Durables
65%similar
revenueROCE
Producer Manufacturing
63%similar
ROCErevenue
Technology Services
43%similar
volatilityoperating margin
Technology Services
26%similar
operating marginmarket cap
Technology Services
23%similar
debt/equityvolatility

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

What changed?

6 events since Jul '25

  1. NovPriceFell 77% from the Jul 2025 peak to the Nov 2026 low.
  2. NovPriceVolume reached 23.7x its 50-day median on 2026-11-03; price -4.8% that day.
  3. JulPriceVolume reached 298.1x its 50-day median on 2026-07-06; price +17.9% that day.
  4. AprPriceVolume reached 18.0x its 50-day median on 2026-04-07; price +7.8% that day.
  5. MarPriceVolume reached 9.7x its 50-day median on 2026-03-25; price +10.2% that day.
  6. JulPriceVolume reached 6.6x its 50-day median on 2025-07-16; price +6.9% 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
MonthRevenue (TTM)ROEROCEDebt / Equity
2026-11₹3120 cr-2.9%10.0%0.6x
2026-10₹3120 cr-2.9%10.0%0.6x
2026-09₹3120 cr-2.9%10.0%0.6x
2026-08₹3080 cr-2.0%10.0%0.6x
2026-07₹3080 cr-2.0%10.0%0.6x
2026-06₹3080 cr-2.0%10.0%0.6x
2026-05₹3013 cr1.1%—0.4x
2026-04₹3013 cr1.1%—0.4x
2026-03₹3013 cr1.1%—0.4x
2026-02₹2965 cr4.8%—0.4x
2026-01₹2965 cr4.8%—0.4x
2025-12₹2965 cr4.8%—0.4x
2025-11₹2897 cr11.1%—0.4x
2025-10₹2897 cr11.1%—0.4x
2025-09₹2897 cr11.1%—0.4x
2025-08₹3269 cr16.6%—0.4x
2025-07₹3269 cr16.6%—0.4x
2025-06₹3269 cr16.6%—0.4x

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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