अApnaFunda

TARA CHAND INFRALOGISTICS LTD (TARACHAND)

Transportation · Trucking · 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.59 / 100
Profitability 80Balance sheet 37

Passes these screensQuality Compounder

Share price

Closing priceAdjusted for splits and bonus issues.

₹46.67 latest close · −16.7% over the last 90 sessions

₹45₹50₹55₹60Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹45₹50₹55₹60Jul 3Sep 4Nov 9

₹46.67 month-end · −38.9% over 12 months

₹50₹60₹70₹80Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹50₹60₹70₹80Nov '25May '26Nov '26

₹46.67 month-end · −27.8% since Jun '25

₹60₹80Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹60₹80Jun '25Mar '26Nov '26

52-week range ₹44.00 to ₹87.76 · 1-year volatility 44.9%

Was the rally earned?

-39%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 24.2x to 16.1x); per-share earnings took off 6 points.
  • The share count barely moved.
Net profit growth: −7 pts. Points of the price return explained by net profit growing (or shrinking).−7 ptsNet profit growthP/E change: −32 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−32 ptsP/E changeShare count change: +1 pts. Points of the price return explained by the share count changing. More shares count against the price.+1 ptsShare count changeShare price: −39%−39%Share priceNet profit growth: −7 pts. Points of the price return explained by net profit growing (or shrinking).−7ProfitP/E change: −32 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−32P/EShare count change: +1 pts. Points of the price return explained by the share count changing. More shares count against the price.+1SharesShare price: −39%−39%Share price
Net profit growth-7 ptsNet profit fell about 8%, which lowers the price.
P/E change-32 ptsThe P/E fell from 24.2x to 16.1x, which lowers the price.
Share count change+1 ptsShare count was little changed. More shares would count against 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 BLACKBUCK

How rough has the ride been?

Maximum drawdown-55.0%not yet recovered
1-year volatility44.9%annualised

Drawdown from peak

0%−20%−40%2020202120222023202420252026−55.0% 0%−20%−40%2020202220242026−55.0%
Largest drawdowns

-55.0% (2024-07 peak to 2026-10 low, not yet recovered)

-45.2% (2020-01 peak to 2020-03 low, recovered 2020-07)

-37.6% (2022-01 peak to 2022-07 low, recovered 2022-09)

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

  • ROCE80th
  • Op. margin80th
  • Revenue growth63rd
  • EPS growth36th
  • Debt/equity ↓35th▲ 3 pts vs a year ago
  • Cash cycle ↓22nd▼ 75 pts vs a year ago
  • P/E ↓49th▲ 5 pts vs a year ago
  • 12M momentum12th▼ 52 pts vs a year ago

Rank history

ROCE
Op. margin
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?

~13%annual earnings growth implied by the price

At a P/E of 16.1x, the price would imply about 12.8%/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
₹46.67
P/E
16.1x
ROCE
18.0%
Market Cap
₹368 cr
Revenue (TTM)
₹291 cr
P/S
1.3x
P/B
2.5x
ROE
15.3%
Operating Margin
29.9%
Debt / Equity
0.9x
Promoter Holding
71.6%
12M Momentum
-38.9%

52-week range

₹44.00₹87.76
6% of the way from its 52-week low to its high

Price risk

1Y volatility
44.9%
Beta vs sector
1-year daily
0.51

Balance sheet & cash

Interest cover
operating profit ÷ interest
3.9x
Share count, 1Y
unchanged

Are profits backed by cash?

2 of 2checks within rangeAll clear
Other income reliance10%Within range

Other income as a share of pre-tax profit (trailing twelve months): 10.2%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate25%Within range

Median quarterly effective tax rate over about 2.5 years: 25.2%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

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 3 years, promoters trimmed 1.7 pts.
  • The number of shareholders rose from 564 to 16,250 (+2781%) between Sep 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters73.3%71.6%-1.7 pts
FIIs0.0%0.1%+0.1 pts
DIIs0.0%0.0%0.0 pts
Public and others26.7%28.2%+1.6 pts

Number of shareholders

16,250shareholders+2781% since Sep '23
5646k12k17k Sep '23Jun '24Dec '24Jun '25Dec '25Jun '26
Sep '23: 564
Mar '24: 1,037
Jun '24: 4,958
Sep '24: 8,573
Dec '24: 12,859
Mar '25: 14,771
Jun '25: 14,504
Sep '25: 15,621
Dec '25: 17,138
Mar '26: 16,188
Jun '26: 16,250
5646k12k17k Sep '23Dec '24Dec '25Jun '26
Sep '23: 564
Mar '24: 1,037
Jun '24: 4,958
Sep '24: 8,573
Dec '24: 12,859
Mar '25: 14,771
Jun '25: 14,504
Sep '25: 15,621
Dec '25: 17,138
Mar '26: 16,188
Jun '26: 16,250

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

+1.6%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 TARA CHAND INFRALOGISTICS LTD 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 −16% to +28% vs the market, against −1% for all non-financial companies in the same months.
  • The gap against the base rate (+2.7%, 80% range −3.1% to +13.2%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
BEWLTD · Aug 2024: −52.1% vs market
ASIANTILES · Mar 2022: −50.2% vs market
NACLIND · Oct 2023: −48.8% vs market
BBTCL · Sep 2023: −38.8% vs market
MUFTI · Feb 2025: −38.4% vs market
BHARATWIRE · Sep 2024: −33.1% vs market
AVG · Jun 2025: −31.5% vs market
SHREEKARNI · Aug 2025: −27.9% vs market
INDIANHUME · Sep 2020: −27.6% vs market
ZEELEARN · Jul 2020: −27.2% vs market
SCPL · Jul 2024: −26.4% vs market
RANEHOLDIN · Feb 2020: −21.3% vs market
ZIMLAB · May 2024: −16.3% vs market
VISHNU · Aug 2023: −16.3% vs market
GRPLTD · Jul 2025: −15.4% vs market
KHAICHEM · Aug 2023: −15.1% vs market
TIIL · Jan 2020: −11.2% vs market
SIYSIL · Apr 2020: −8.9% vs market
RICOAUTO · Feb 2020: −3.7% vs market
NILAINFRA · May 2020: −3.6% vs market
HIMATSEIDE · Jan 2020: −2.3% vs market
KAMATHOTEL · Dec 2024: −2.2% vs market
AWHCL · Apr 2022: −1.7% vs market
GREENPOWER · Jul 2020: +0.7% vs market
BFUTILITIE · Jun 2022: +1.2% vs market
APEX · Sep 2021: +2.0% vs market
GOACARBON · Sep 2020: +8.5% vs market
CANTABIL · Sep 2024: +10.7% vs market
DYNAMATECH · Mar 2020: +13.7% vs market
INDOAMIN · May 2024: +15.7% vs market
CARYSIL · Jul 2024: +20.9% vs market
POKARNA · Jul 2023: +24.1% vs market
ROHLTD · Jul 2024: +25.7% vs market
KDDL · Mar 2020: +26.2% vs market
ALICON · Apr 2020: +26.9% vs market
GNA · Sep 2022: +27.3% vs market
PURVA · Aug 2020: +27.7% vs market
DOLLAR · Jan 2020: +27.8% vs market
SHAKTIPUMP · Jan 2020: +29.9% vs market
MMFL · Apr 2025: +35.4% vs market
MANGLMCEM · Aug 2020: +39.7% vs market
SOBHA · May 2020: +45.2% vs market
TALBROAUTO · Feb 2020: +50.8% vs market
ARIHANTSUP · Sep 2023: +56.7% vs market
ARHAM · Jun 2025: +60.6% vs market
SHIVATEX · Oct 2020: +74.8% vs market
RKFORGE · Apr 2020: +96.0% vs market
SALASAR · Mar 2022: +97.0% vs market
FILATEX · Jul 2020: +140.1% vs market
THEMISMED · Mar 2021: +169.4% vs market
Similar setups +1.6%All companies −1.1%← 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 · 2 beyond the range shown, drawn at the edge

Similar setups' median
+1.6%
All companies' median
−1.1%
Beat the market
54% vs 49%

50 past situations · 50 companies · 29 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
ALICON
Producer Manufacturing
Apr 2020 6x19% −64%−64% +27%
INDIANHUME
Producer Manufacturing
Sep 2020 11x16% −38%−41% −28%
ARIHANTSUP
Finance
Sep 2023 18x14% −18%−25% +57%
ZEELEARN
Consumer Services
Jul 2020 10x14% −34%−48% −27%
BEWLTD
Producer Manufacturing
Aug 2024 31x23% 0%−22% −52%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
MUFTI
Retail Trade
Feb 2025 13x19% −46%−49% −38%
MANGLMCEM
Non-Energy Minerals
Aug 2020 7x17% −23%−39% +40%
ROHLTD
Consumer Services
Jul 2024 20x20% −1%−15% +26%
How reliable is this?

Matched on P/E, P/S, ROCE, operating margin, 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. 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 TARA CHAND INFRALOGISTICS 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?

18 events since Oct '19

  1. OctPriceFell 55% from the Jul 2024 peak to the Oct 2026 low.
  2. SepResultsYear-on-year EPS growth turned negative.
  3. SepPeer rankSlipped to the 3rd quartile of Transportation on EPS growth (from the 2nd quartile).
  4. JunPromoterPromoter holding fell 3.7 pts to 69.7%.
  5. AprPriceRegained the 2023-11 peak, 1 month after the low.
  6. MarPriceFell 28% from the Nov 2023 peak to the Mar 2024 low.
  7. FebPriceRegained the 2022-11 peak, 3 months after the low.
  8. NovPriceFell 26% from the Nov 2022 peak to the Nov 2022 low.
Show 10 earlier events
  1. SepPriceRegained the 2022-01 peak, 2 months after the low.
  2. JulPriceFell 38% from the Jan 2022 peak to the Jul 2022 low.
  3. JanPriceRegained the 2021-06 peak, 4 months after the low.
  4. SepPriceFell 30% from the Jun 2021 peak to the Sep 2021 low.
  5. MarPriceRegained the 2020-07 peak, 4 months after the low.
  6. NovPriceFell 36% from the Jul 2020 peak to the Nov 2020 low.
  7. JulPriceRegained the 2020-01 peak, 4 months after the low.
  8. MarPriceFell 45% from the Jan 2020 peak to the Mar 2020 low.
  9. DecPriceRegained the 2019-05 peak, 2 months after the low.
  10. OctPriceFell 34% from the May 2019 peak to the Oct 2019 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
2026-1116.1x₹291 cr15.3%18.0%0.9x
2026-1016.1x₹291 cr15.4%18.0%0.9x
2026-0916.5x₹291 cr15.4%18.0%0.9x
2026-0813.6x₹285 cr18.6%18.0%0.9x
2026-0715.7x₹285 cr18.6%18.0%0.9x
2026-0616.0x₹285 cr18.6%18.0%0.9x
2026-0516.3x₹277 cr22.2%—0.9x
2026-0418.6x₹277 cr22.2%—0.9x
2026-0315.7x₹277 cr22.2%—0.9x
2026-0219.3x₹248 cr20.5%—0.9x
2026-0119.5x₹248 cr20.5%—0.9x
2025-1224.7x₹248 cr20.5%—0.9x
2025-1124.2x₹248 cr20.5%—0.9x
2025-1027.3x₹248 cr20.5%—0.9x
2025-0921.7x₹248 cr20.5%—0.9x
2025-0822.5x₹248 cr20.5%—0.9x
2025-0724.5x₹248 cr20.5%—0.9x
2025-0620.5x₹248 cr20.5%—0.9x

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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