अApnaFunda

TIMESCAN LOGISTICS INDIA LTD (TIMESCAN)

Transportation · Air Freight/Couriers · figures to Nov '26

Share price

Closing priceAdjusted for splits and bonus issues.

₹40.7 latest close · −23.2% over the last 90 sessions

₹40₹45₹50Dec 29Mar 25May 5Jun 29Aug 17Oct 26 ₹40₹45₹50Dec 29Jun 1Oct 26

₹40.7 month-end · −23.8% over 12 months

₹40₹50₹60Oct '25Dec '25Mar '26May '26Aug '26Oct '26 ₹40₹50₹60Oct '25Apr '26Oct '26

₹40.7 month-end · −31.7% since Jun '24

₹40₹60₹80Jun '24Dec '24May '25Nov '25Apr '26Oct '26 ₹40₹60₹80Jun '24Aug '25Oct '26

52-week range ₹37.30 to ₹75.75 · 1-year volatility 60.9%

How rough has the ride been?

Maximum drawdown-62.6%not yet recovered
1-year volatility60.9%annualised

Drawdown from peak

0%−20%−40%−60%2023202420252026−61.2% 0%−20%−40%−60%2023202420252026−61.2%
Largest drawdowns

-62.6% (2023-10 peak to 2026-09 low, not yet recovered)

-58.7% (2022-01 peak to 2022-07 low, recovered 2023-05)

-20.1% (2023-05 peak to 2023-07 low, recovered 2023-09)

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

  • ROCE92ndflat vs a year ago
  • Revenue growth87th▲ 10 pts vs a year ago
  • EPS growth50th▼ 37 pts vs a year ago
  • Debt/equity ↓68th▼ 7 pts vs a year ago
  • Cash cycle ↓66th▼ 3 pts vs a year ago
  • P/E ↓99thflat vs a year ago
  • 12M momentum40th▼ 3 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 Transportation sector page Watch it move against Transportation in the Observatory

Key figures

52-week range

₹37.30₹75.75
9% of the way from its 52-week low to its high

Price risk

1Y volatility
60.9%
Beta vs sector
1-year daily
0.37

Are profits backed by cash?

1 of 3checks 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 conversion0.38xBeyond threshold

Operating cash flow divided by net profit over the last three fiscal years: 0.38x (cash from operations ₹6 cr, net profit ₹16 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow2 of 3 yrsNear threshold

Fiscal years with positive free cash flow in the last 3: 2. 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, institutional and promoter holdings were broadly unchanged.
  • The number of shareholders rose from 304 to 327 (+8%) between Mar 2022 and Mar 2026.

Holdings, Mar '26

How each group changed

GroupMar '22Mar '26Change
Promoters72.9%72.9%0.0 pts
FIIs———
DIIs0.0%0.0%0.0 pts
Public and others27.1%27.1%0.0 pts

Number of shareholders

327shareholders+8% since Mar '22
243279316352 Mar '22Mar '23Mar '24Mar '26
Mar '22: 304
Sep '22: 263
Mar '23: 243
Sep '23: 279
Mar '24: 301
Mar '25: 352
Mar '26: 327
243279316352 Mar '22Mar '23Mar '24Mar '26
Mar '22: 304
Sep '22: 263
Mar '23: 243
Sep '23: 279
Mar '24: 301
Mar '25: 352
Mar '26: 327

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

−0.7%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 TIMESCAN LOGISTICS INDIA LTD today on valuation, return on capital, debt, growth, price momentum and size.
  • Over the following 12 months the middle half of them returned −18% to +45% vs the market, against −3% for all non-financial companies in the same months.
  • The gap against the base rate (+1.9%, 80% range −5.5% to +5.0%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
SAIFL · Sep 2025: −74.5% vs market
USK · Nov 2024: −54.9% vs market
RPPINFRA · Feb 2025: −44.2% vs market
ZEAL · Oct 2025: −37.5% vs market
AHLADA · Sep 2024: −37.4% vs market
MARALOVER · Jul 2022: −35.5% vs market
CMRSL · Oct 2024: −35.0% vs market
ELECTHERM · Jan 2020: −31.9% vs market
MOKSH · Jul 2025: −29.7% vs market
BMETRICS · Jul 2025: −23.7% vs market
SHREYANIND · Feb 2024: −22.4% vs market
PRECOT · Sep 2022: −21.8% vs market
SHIVAMILLS · Mar 2023: −18.5% vs market
BANSWRAS · Jan 2024: −17.3% vs market
BEARDSELL · Aug 2025: −16.3% vs market
GULFPETRO · Jun 2025: −16.1% vs market
KNAGRI · Mar 2023: −14.7% vs market
TRIGYN · May 2022: −12.8% vs market
IVP · Sep 2023: −11.2% vs market
NAHARINDUS · Dec 2022: −10.1% vs market
ASHALOG · Oct 2025: −7.3% vs market
RANASUG · Nov 2022: −6.8% vs market
GLOBE · Apr 2025: −5.1% vs market
HISARMETAL · Jun 2023: −2.9% vs market
GINNIFILA · Nov 2021: −2.0% vs market
RUCHIRA · Mar 2024: +0.5% vs market
LAXMICOT · Mar 2023: +1.0% vs market
MANINDS · Mar 2022: +2.5% vs market
CORDSCABLE · Mar 2021: +2.9% vs market
RCDL · Oct 2025: +3.8% vs market
JAYAGROGN · Dec 2022: +6.6% vs market
NRAIL · Jul 2023: +11.1% vs market
BHARATGEAR · Jul 2022: +25.4% vs market
LAGNAM · Nov 2022: +26.9% vs market
ARCHIES · May 2022: +28.0% vs market
UMAEXPORTS · May 2023: +37.5% vs market
MANAKSIA · Dec 2022: +39.3% vs market
ORIENTPPR · May 2022: +47.4% vs market
20MICRONS · Feb 2021: +62.7% vs market
ARISTO · Mar 2024: +79.6% vs market
SGL · Sep 2021: +90.3% vs market
TOTAL · Jun 2022: +100.7% vs market
CMNL · May 2024: +101.3% vs market
LAMBODHARA · Nov 2020: +111.4% vs market
SURYALAXMI · Mar 2021: +116.3% vs market
MHHL · Feb 2022: +116.8% vs market
JWL · Aug 2021: +143.8% vs market
AGARIND · Dec 2020: +180.7% vs market
DSSL · Aug 2020: +201.4% vs market
NAGREEKEXP · Apr 2021: +218.7% vs market
Similar setups −0.7%All companies −2.6%← 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
−0.7%
All companies' median
−2.6%
Beat the market
50% vs 47%

50 past situations · 50 companies · 37 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
SGL
Process Industries
Sep 2021 3x— +56%−22% +90%
DSSL
Technology Services
Aug 2020 4x22% +2%−26% +201%
UMAEXPORTS
Distribution Services
May 2023 5x37% −17%−20% +38%
CMRSL
Commercial Services
Oct 2024 10x30% +9%−38% −35%
LAXMICOT
Process Industries
Mar 2023 6x— −5%−45% +1%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
SHREYANIND
Process Industries
Feb 2024 5x31% +64%−23% −22%
RCDL
Process Industries
Oct 2025 9x17% −10%−30% +4%
SHIVAMILLS
Process Industries
Mar 2023 3x24% −33%−50% −19%
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 and size. Closest on: 12-month momentum, drawdown from 12-month high and P/E. Not used (unavailable for this company): operating margin 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 TIMESCAN 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?

8 events since Jul '22

  1. SepPriceFell 63% from the Oct 2023 peak to the Sep 2026 low.
  2. JunResultsRevenue (TTM) reached a new high of ₹341 cr.
  3. JunValuationP/E fell below the 10th percentile of its own history to date (4.5x).
  4. JunPeer rankSlipped to the 2nd quartile of Transportation on EPS growth (from the top quartile).
  5. JunResultsRevenue (TTM) reached a new high of ₹258 cr.
  6. JunSharesShare count is up 133.3% over 12 months.
  7. MayPriceRegained the 2022-01 peak, 10 months after the low.
  8. JulPriceFell 59% from the Jan 2022 peak to the Jul 2022 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 history30 months · 2024-06 to 2026-11
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-11—————
2026-104.6x₹341 cr18.9%26.0%0.2x
2026-094.5x₹341 cr18.9%26.0%0.2x
2026-084.4x₹341 cr18.9%26.0%0.2x
2026-074.4x₹341 cr18.9%26.0%0.2x
2026-064.5x₹341 cr18.9%26.0%0.2x
2026-054.7x₹258 cr23.9%33.0%0.2x
2026-044.8x₹258 cr23.9%33.0%0.2x
2026-035.1x₹258 cr23.9%33.0%0.2x
2026-025.7x₹258 cr23.9%33.0%0.2x
2026-015.1x₹258 cr23.9%33.0%0.2x
2025-126.0x₹258 cr23.9%33.0%0.2x
2025-117.4x₹258 cr23.9%33.0%0.2x
2025-106.4x₹258 cr23.9%33.0%0.2x
2025-095.9x₹258 cr23.9%33.0%0.2x
2025-087.8x₹258 cr23.9%33.0%0.2x
2025-077.9x₹258 cr23.9%33.0%0.2x
2025-067.9x₹258 cr23.9%33.0%0.2x
2025-059.2x₹202 cr8.1%—0.1x
2025-048.4x₹202 cr8.1%—0.1x
2025-037.8x₹202 cr8.1%—0.1x
2025-028.8x₹202 cr8.1%—0.1x
2025-0110.5x₹202 cr8.1%—0.1x
2024-1212.5x₹202 cr8.1%—0.1x
2024-1112.0x₹202 cr8.1%—0.1x
2024-1013.5x₹202 cr8.1%—0.1x
2024-0914.7x₹202 cr8.1%—0.1x
2024-0811.7x₹202 cr8.1%—0.1x
2024-0711.5x₹202 cr8.1%—0.1x
2024-0611.0x₹202 cr8.1%—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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