अApnaFunda

ONECLICK LOGISTICS INDIA LTD (OLIL)

Transportation · Air Freight/Couriers · 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.62 / 100
Profitability 34Balance sheet 90

Passes these screensHigh MomentumNear 52-week high

Share price

Closing priceAdjusted for splits and bonus issues.

₹333 latest close · +21.0% over the last 90 sessions

₹275₹300₹325Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹275₹300₹325Jul 3Sep 4Nov 9

₹333 month-end · +54.1% over 12 months

₹200₹250₹300Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹200₹250₹300Nov '25May '26Nov '26

₹333 month-end · +151.2% since Jun '25

₹200₹300Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹200₹300Jun '25Mar '26Nov '26

52-week range ₹181.15 to ₹365.50 · 1-year volatility 44.5%

Was the rally earned?

+54%share price, 1 yearMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 66.3x to 118.5x); per-share earnings took off 19 points.
  • The share count rose 75%.
Net profit growth: +51 pts. Points of the price return explained by net profit growing (or shrinking).+51 ptsNet profit growthP/E change: +73 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+73 ptsP/E changeShare count change: −70 pts. Points of the price return explained by the share count changing. More shares count against the price.−70 ptsShare count changeShare price: +54%+54%Share priceNet profit growth: +51 pts. Points of the price return explained by net profit growing (or shrinking).+51ProfitP/E change: +73 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+73P/EShare count change: −70 pts. Points of the price return explained by the share count changing. More shares count against the price.−70SharesShare price: +54%+54%Share price
Net profit growth+51 ptsNet profit rose about 51%, which lifts the price.
P/E change+73 ptsThe P/E rose from 66.3x to 118.5x, which lifts the price.
Share count change-70 ptsShare count rose 75%, 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 DELHIVERY

How rough has the ride been?

Maximum drawdown-54.8%recovered 2025-02
1-year volatility44.5%annualised

Drawdown from peak

0%−20%−40%202420252026−54.8% 0%−20%−40%202420252026−54.8%
Largest drawdowns

-54.8% (2023-10 peak to 2024-06 low, recovered 2025-02)

-18.0% (2026-05 peak to 2026-08 low, recovered 2026-11)

-16.9% (2025-11 peak to 2026-03 low, recovered 2026-04)

Where does it rank among Transportation peers?

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

  • ROCE34th
  • Revenue growth100th
  • EPS growth30th
  • Debt/equity ↓85th▼ 3 pts vs a year ago
  • Cash cycle ↓9th▼ 27 pts vs a year ago
  • P/E ↓8th▼ 4 pts vs a year ago
  • 12M momentum99thflat 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 Transportation sector page Watch it move against Transportation in the Observatory

What is the price implying?

~38%annual earnings growth implied by the price

At a P/E of 118.5x, the price would imply about 37.7%/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 Transportation The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹333.00
P/E
118.5x
ROCE
9.0%
Market Cap
₹343 cr
Revenue (TTM)
₹115 cr
P/S
3.0x
P/B
3.8x
ROE
3.2%
Debt / Equity
0.1x
Promoter Holding
15.0%
12M Momentum
54.1%

52-week range

₹181.15₹365.50
82% of the way from its 52-week low to its high

Price risk

1Y volatility
44.5%
Beta vs sector
1-year daily
0.22

Balance sheet & cash

Interest cover
operating profit ÷ interest
2.5x
Share count, 1Y
+75.0%

Are profits backed by cash?

1 of 1checks within rangeAll clear
Other income reliance0%Within range

Other income as a share of pre-tax profit (trailing twelve months): 0.0%. 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?

  • Over 2 years, promoters trimmed 52.1 pts.
  • The number of shareholders fell from 724 to 639 (-12%) between Dec 2023 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupDec '23Mar '26Change
Promoters67.2%15.0%-52.1 pts
FIIs0.0%0.0%0.0 pts
DIIs0.3%0.3%0.0 pts
Public and others32.5%84.7%+52.2 pts

Number of shareholders

639shareholders-12% since Dec '23
445538631724 Dec '23Mar '24Mar '25Sep '25Mar '26
Dec '23: 724
Mar '24: 445
Mar '25: 617
Sep '25: 479
Mar '26: 639
445538631724 Dec '23Mar '25Mar '26
Dec '23: 724
Mar '24: 445
Mar '25: 617
Sep '25: 479
Mar '26: 639

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

−4.9%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 ONECLICK LOGISTICS INDIA LTD today on valuation, return on capital, debt, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −37% to +56% vs the market, against −4% for all non-financial companies in the same months.
  • The gap against the base rate (−0.6%, 80% range −13.8% to +6.2%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PRAMARA · Oct 2025: −73.8% vs market
SILLYMONKS · Mar 2020: −58.7% vs market
DJML · Nov 2024: −55.4% vs market
SYRMA · Sep 2023: −52.2% vs market
REMUS · Nov 2024: −51.0% vs market
MURUDCERA · Oct 2023: −47.8% vs market
TOUCHWOOD · Feb 2023: −46.3% vs market
HUBTOWN · Jul 2025: −46.1% vs market
ARTNIRMAN · Mar 2022: −45.0% vs market
ATALREAL · Oct 2025: −43.5% vs market
KILITCH · Dec 2021: −39.8% vs market
AARTECH · Nov 2024: −38.0% vs market
DUCOL · Oct 2025: −37.6% vs market
REPRO · Jun 2023: −35.5% vs market
YATRA · Aug 2025: −34.7% vs market
DBSTOCKBRO · Dec 2021: −30.8% vs market
BEML · Nov 2021: −27.3% vs market
ATULAUTO · Aug 2023: −27.2% vs market
ZAGGLE · Nov 2024: −25.3% vs market
TAJGVK · Nov 2022: −13.7% vs market
KINGFA · Apr 2023: −13.5% vs market
KRISHIVAL · Sep 2025: −10.3% vs market
SNOWMAN · Feb 2020: −8.4% vs market
CANTABIL · Feb 2020: −8.2% vs market
MACOBSTECH · Sep 2025: −6.8% vs market
ASTRAMICRO · Jun 2020: −3.0% vs market
GENUSPOWER · Jul 2024: −0.1% vs market
SOFTTECH · Jun 2024: +1.4% vs market
SPECIALITY · Jul 2022: +2.2% vs market
THOMASCOOK · Oct 2023: +3.5% vs market
ARVSMART · Dec 2022: +4.7% vs market
URJA · Jun 2020: +11.6% vs market
NACLIND · Jun 2020: +19.5% vs market
MANINFRA · Sep 2021: +21.3% vs market
EIFFL · Jun 2025: +24.6% vs market
OMINFRAL · Sep 2023: +34.5% vs market
PANSARI · Jan 2025: +38.1% vs market
NEULANDLAB · Jul 2020: +62.5% vs market
SOLARA · Apr 2020: +62.5% vs market
TEJASNET · Jul 2021: +70.1% vs market
PGEL · May 2022: +70.3% vs market
RMDRIP · Dec 2024: +86.2% vs market
OLECTRA · Jul 2021: +95.7% vs market
SAFARI · Sep 2022: +104.6% vs market
APOLLO · May 2025: +111.8% vs market
KERNEX · Dec 2021: +114.7% vs market
FOCUS · Dec 2022: +117.2% vs market
GREENPANEL · Dec 2020: +146.9% vs market
TIPSMUSIC · Feb 2020: +164.9% vs market
SERVOTECH · Jan 2023: +167.0% vs market
Similar setups −4.9%All companies −4.3%← 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 · 7 beyond the range shown, drawn at the edge

Similar setups' median
−4.9%
All companies' median
−4.3%
Beat the market
46% vs 45%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
DUCOL
Process Industries
Oct 2025 69x— +64%0% −38%
ATALREAL
Consumer Durables
Oct 2025 73x— +108%0% −44%
ARVSMART
Finance
Dec 2022 55x10% +50%0% +5%
REPRO
Commercial Services
Jun 2023 97x5% +77%0% −36%
SAFARI
Consumer Durables
Sep 2022 165x13% +90%−1% +105%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
KILITCH
Health Technology
Dec 2021 112x3% +159%0% −40%
ARTNIRMAN
Consumer Durables
Mar 2022 9700x3% +203%— −45%
OMINFRAL
Industrial Services
Sep 2023 65x5% +151%0% +35%
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: 12-month momentum, P/S and ROCE. 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 5 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 ONECLICK LOGISTICS INDIA LTD. 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?

6 events since Jun '24

  1. JunResultsRevenue (TTM) reached a new high of ₹115 cr.
  2. JunSharesShare count is up 75.0% over 12 months.
  3. DecPromoterPromoter holding fell 7.8 pts to 14.2% (largest drop since 2025-06).
  4. JunPromoterPromoter holding fell 45.2 pts to 22.0%.
  5. FebPriceRegained the 2023-10 peak, 8 months after the low.
  6. JunPriceFell 55% from the Oct 2023 peak to the Jun 2024 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 history18 months · 2025-06 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-11118.5x₹115 cr3.2%9.0%0.1x
2026-10111.1x₹115 cr3.2%9.0%0.1x
2026-09106.4x₹115 cr3.2%9.0%0.1x
2026-0899.6x₹115 cr3.2%9.0%0.1x
2026-0797.3x₹115 cr3.2%9.0%0.1x
2026-06100.4x₹115 cr3.2%9.0%0.1x
2026-0590.0x₹45 cr13.7%—0.1x
2026-0485.7x₹45 cr13.7%—0.1x
2026-0362.7x₹45 cr13.7%—0.1x
2026-0261.4x₹45 cr13.7%—0.1x
2026-0161.7x₹45 cr13.7%—0.1x
2025-1263.4x₹45 cr13.7%—0.1x
2025-1166.3x₹45 cr13.7%—0.1x
2025-1059.3x₹45 cr13.7%—0.1x
2025-0956.6x₹45 cr13.7%—0.1x
2025-0847.0x₹45 cr13.7%—0.1x
2025-0743.8x₹45 cr13.7%—0.1x
2025-0640.7x₹45 cr13.7%—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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