अApnaFunda

ONE MOBIKWIK SYSTEMS LIMITED (MOBIKWIK)

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.23 / 100
Profitability 12Balance sheet 34
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.62 / 100
Price 82Earnings 98FII/DII 7

Share price

Closing priceAdjusted for splits and bonus issues.

₹226.78 latest close · +11.9% over the last 90 sessions

₹200₹225₹250Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹200₹225₹250Jul 3Sep 4Nov 9

₹226.78 month-end · −2.5% over 12 months

₹150₹175₹200₹225Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹150₹175₹200₹225Nov '25May '26Nov '26

₹226.78 month-end · −61.3% since Dec '24

₹200₹400₹600Dec '24May '25Sep '25Feb '26Jun '26Nov '26 ₹200₹400₹600Dec '24Dec '25Nov '26

52-week range ₹151.46 to ₹267.35 · 1-year volatility 49.9%

How rough has the ride been?

Maximum drawdown-75.7%not yet recovered
1-year volatility49.9%annualised
Beta vs sector index0.773-year daily, correlation 0.28
Volume spikes14last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%2026−73.5% 0%−20%−40%−60%2026−73.5%
Largest drawdowns

-75.7% (2024-12 peak to 2026-03 low, not yet recovered)

Most recent volume spikes

2026-11-02: 10.6x the 50-day median, price +5.5% that day

2026-10-13: 6.4x the 50-day median, price +1.5% that day

2026-10-09: 35.3x the 50-day median, price +0.4% 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 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

  • ROCE9th▲ 7 pts vs a year ago
  • Op. margin16th▲ 8 pts vs a year ago
  • Revenue growth26th
  • Debt/equity ↓18th▲ 4 pts vs a year ago
  • Cash cycle ↓82nd▼ 6 pts vs a year ago
  • 12M momentum73rd

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
₹226.78
ROCE
-2.0%
Market Cap
₹1794 cr
Revenue (TTM)
₹1129 cr
P/S
1.6x
P/B
3.3x
ROE
-2.3%
Operating Margin
2.9%
Debt / Equity
0.5x
Promoter Holding
25.1%
12M Momentum
-2.5%

52-week range

₹151.46₹267.35
65% of the way from its 52-week low to its high

Price risk

1Y volatility
49.9%
Beta vs sector
1-year daily
0.66

Balance sheet & cash

Interest cover
operating profit ÷ interest
0.5x
Share count, 1Y
unchanged

Are profits backed by cash?

1 of 2checks within range1 beyond 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 conversion—Not enough data

Not enough reported data to compute this.

Free cash flow1 of 5 yrsBeyond threshold

Fiscal years with positive free cash flow in the last 5: 1. 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 2 years, DIIs trimmed 5.3 pts.
  • The number of shareholders rose from 1.4 lakh to 1.6 lakh (+17%) between Dec 2024 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupDec '24Jun '26Change
Promoters25.2%25.1%-0.1 pts
FIIs4.8%4.5%-0.3 pts
DIIs8.8%3.5%-5.3 pts
Public and others61.1%66.9%+5.8 pts

Number of shareholders

1.6 lakhshareholders+17% since Dec '24
1.4L1.6L1.7L1.9L Dec '24Jun '25Dec '25Jun '26
Dec '24: 1.4 lakh
Mar '25: 1.9 lakh
Jun '25: 1.9 lakh
Sep '25: 1.9 lakh
Dec '25: 1.8 lakh
Mar '26: 1.7 lakh
Jun '26: 1.6 lakh
1.4L1.6L1.7L1.9L Dec '24Jun '25Dec '25Jun '26
Dec '24: 1.4 lakh
Mar '25: 1.9 lakh
Jun '25: 1.9 lakh
Sep '25: 1.9 lakh
Dec '25: 1.8 lakh
Mar '26: 1.7 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

−6.4%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 ONE MOBIKWIK SYSTEMS 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 −27% to +35% vs the market, against −3% for all non-financial companies in the same months.
  • The gap against the base rate (−3.7%, 80% range −12.0% to +5.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
OMAXE · Aug 2022: −57.8% vs market
WOCKPHARMA · Apr 2021: −53.0% vs market
KHADIM · Jun 2021: −45.1% vs market
PRAXIS · Oct 2023: −44.7% vs market
REPRO · Oct 2025: −43.1% vs market
NIPPOBATRY · Nov 2023: −41.8% vs market
ENIL · Jun 2022: −37.2% vs market
VIPIND · Jul 2025: −36.7% vs market
SWSOLAR · Oct 2021: −36.1% vs market
VIPCLOTHNG · May 2025: −36.1% vs market
INDOCO · Jul 2025: −34.5% vs market
VALIANTORG · Jun 2025: −33.2% vs market
IFBIND · Jul 2022: −27.6% vs market
ASIANTILES · Jul 2024: −26.1% vs market
ESTER · Sep 2024: −25.1% vs market
BOMDYEING · Apr 2022: −24.8% vs market
LORDSCHLO · Jan 2025: −24.6% vs market
INOXWIND · Jan 2022: −22.3% vs market
DCW · Sep 2024: −21.9% vs market
RTNPOWER · Feb 2020: −19.3% vs market
S&SPOWER · Aug 2025: −14.5% vs market
ZUARIIND · Apr 2025: −13.6% vs market
DCAL · Mar 2024: −10.8% vs market
SCHAND · Aug 2020: −9.2% vs market
TIRUMALCHM · Jul 2024: −7.9% vs market
RAMANEWS · Jul 2020: −5.0% vs market
NACLIND · Apr 2020: −4.8% vs market
SOLARA · Apr 2024: −1.0% vs market
MANGLMCEM · Mar 2020: +4.1% vs market
SHALPAINTS · Apr 2022: +4.6% vs market
AURIONPRO · Apr 2022: +7.0% vs market
INDIACEM · Jul 2024: +7.6% vs market
VASCONEQ · Dec 2021: +14.5% vs market
HCG · Sep 2021: +15.2% vs market
ONIDA · Feb 2021: +15.8% vs market
DWARKESH · Oct 2021: +21.2% vs market
ACLGATI · Mar 2021: +28.4% vs market
ORIENTHOT · May 2021: +36.6% vs market
ROSSELLIND · Jan 2020: +37.6% vs market
CCHHL · Jan 2023: +41.7% vs market
PRICOLLTD · Mar 2021: +50.5% vs market
JUBLPHARMA · Jan 2024: +57.6% vs market
SHAKTIPUMP · Dec 2020: +59.5% vs market
KUANTUM · Jan 2022: +59.5% vs market
ATULAUTO · Dec 2022: +60.3% vs market
PREMEXPLN · Nov 2021: +62.2% vs market
SMSPHARMA · Aug 2023: +79.7% vs market
SHILPAMED · Nov 2023: +90.1% vs market
MTNL · Dec 2020: +91.4% vs market
SDBL · Mar 2022: +159.8% vs market
Similar setups −6.4%All companies −2.7%← 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
−6.4%
All companies' median
−2.7%
Beat the market
44% vs 47%

50 past situations · 50 companies · 39 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
ACLGATI
Transportation
Mar 2021 —0% +110%−9% +28%
INDIACEM
Non-Energy Minerals
Jul 2024 —-1% +66%−3% +8%
DCAL
Health Technology
Mar 2024 —1% +89%−14% −11%
ASIANTILES
Producer Manufacturing
Jul 2024 —1% +86%−1% −26%
SHALPAINTS
Process Industries
Apr 2022 —-1% +61%−9% +5%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
REPRO
Commercial Services
Oct 2025 —2% +8%−11% −43%
SHILPAMED
Health Technology
Nov 2023 —1% +30%−5% +90%
INDOCO
Health Technology
Jul 2025 —0% −4%−16% −35%
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: 12-month momentum, interest cover and drawdown from 12-month high. 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 ONE MOBIKWIK SYSTEMS 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.

Consumer Non-Durables
67%similar
market caprevenue
Producer Manufacturing
66%similar
ROCEvolatility
SPML INFRASPMLINFRA
Industrial Services
65%similar
volatilityrevenue
NITCONITCO
Producer Manufacturing
62%similar
promoter holdingmarket cap
STL NETWORKSSTLNETWORK
Miscellaneous
62%similar
ROCEoperating margin
Technology Services
36%similar
revenuevolatility
Technology Services
23%similar
debt/equityvolatility
Technology Services
20%similar
revenuemarket cap

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

What changed?

15 events since Mar '25

  1. OctPriceVolume reached 94.1x its 50-day median on 2026-10-07; price +5.8% that day.
  2. SepPriceVolume reached 25.8x its 50-day median on 2026-09-11; price +7.7% that day.
  3. AprPriceVolume reached 26.6x its 50-day median on 2026-04-27; price +11.3% that day.
  4. MarInstitutionsFII + DII holding fell 3.9 pts over 2 quarters to 8.0%.
  5. MarPriceFell 76% from the Dec 2024 peak to the Mar 2026 low.
  6. FebPriceVolume reached 53.4x its 50-day median on 2026-02-24; price +2.0% that day.
  7. DecDebtDebt / equity halved over 12 months to 0.50x.
  8. DecSharesShare count is up 45.5% over 12 months.
Show 7 earlier events
  1. DecPriceVolume reached 5.9x its 50-day median on 2025-12-11; price +7.1% that day.
  2. SepPriceVolume reached 52.1x its 50-day median on 2025-09-02; price +18.2% that day.
  3. JunInstitutionsFII + DII holding fell 5.2 pts over 1 quarter to 8.4%.
  4. JunPeer rankSlipped to the bottom quartile of Technology Services on ROCE (from the 3rd quartile).
  5. JunDebtDebt / equity fell below 1.0x (0.50x).
  6. JunPriceVolume reached 65.4x its 50-day median on 2025-06-26; price +6.9% that day.
  7. MarPriceVolume reached 6.8x its 50-day median on 2025-03-19; price +11.9% 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 history24 months · 2024-12 to 2026-11
MonthRevenue (TTM)ROEROCEDebt / Equity
2026-11₹1129 cr-2.3%-2.0%0.5x
2026-10₹1129 cr-2.3%-2.0%0.5x
2026-09₹1129 cr-2.3%-2.0%0.5x
2026-08₹1119 cr-11.5%-2.0%0.5x
2026-07₹1119 cr-11.5%-2.0%0.5x
2026-06₹1119 cr-11.5%-2.0%0.5x
2026-05₹1098 cr-20.8%-15.0%0.5x
2026-04₹1098 cr-20.8%-15.0%0.5x
2026-03₹1098 cr-20.8%-15.0%0.5x
2026-02₹1079 cr-30.9%-15.0%0.5x
2026-01₹1079 cr-30.9%-15.0%0.5x
2025-12₹1079 cr-30.9%-15.0%0.5x
2025-11₹1099 cr-26.6%-15.0%0.5x
2025-10₹1099 cr-26.6%-15.0%0.5x
2025-09₹1099 cr-26.6%-15.0%0.5x
2025-08₹1170 cr-20.6%-15.0%0.5x
2025-07₹1170 cr-20.6%-15.0%0.5x
2025-06₹1170 cr-20.6%-15.0%0.5x
2025-05₹1167 cr-40.8%9.0%1.4x
2025-04₹1167 cr-40.8%9.0%1.4x
2025-03₹1167 cr-40.8%9.0%1.4x
2025-02₹1127 cr-3.5%9.0%1.4x
2025-01₹1127 cr-3.5%9.0%1.4x
2024-12₹1127 cr-3.5%9.0%1.4x

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.

Feedback