अApnaFunda

AEGIS VOPAK TERMINALS LIMITED (AEGISVOPAK)

Transportation · Marine Shipping · 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.53 / 100
Profitability 66Balance sheet 40
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.48 / 100
Price 45Earnings 63FII/DII 34

Share price

Closing priceAdjusted for splits and bonus issues.

₹255.11 latest close · −0.9% over the last 90 sessions

₹250₹300Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹250₹300Jul 3Sep 4Nov 9

₹255.11 month-end · −2.1% over 12 months

₹150₹200₹250₹300Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹150₹200₹250₹300Nov '25May '26Nov '26

₹255.11 month-end · +4.0% since Jun '25

₹150₹200₹250₹300Jun '25Sep '25Jan '26Apr '26Aug '26Nov '26 ₹150₹200₹250₹300Jun '25Mar '26Nov '26

52-week range ₹158.00 to ₹320.95 · 1-year volatility 48.1%

Was the rally earned?

-2%share price, 1 yearRoughly flat
  • The share price was roughly flat over 1 year (-2%).
  • The share count rose 9%.
Net profit growth: +48 pts. Points of the price return explained by net profit growing (or shrinking).+48 ptsNet profit growthP/E change: −42 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−42 ptsP/E changeShare count change: −8 pts. Points of the price return explained by the share count changing. More shares count against the price.−8 ptsShare count changeShare price: −2%−2%Share priceNet profit growth: +48 pts. Points of the price return explained by net profit growing (or shrinking).+48ProfitP/E change: −42 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−42P/EShare count change: −8 pts. Points of the price return explained by the share count changing. More shares count against the price.−8SharesShare price: −2%−2%Share price
Net profit growth+48 ptsNet profit rose about 63%, which lifts the price.
P/E change-42 ptsThe P/E fell from 141.6x to 92.4x, which lowers the price.
Share count change-8 ptsShare count rose 9%, 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 GREAT EASTERN SHIPPING CO

How rough has the ride been?

Maximum drawdown-44.9%recovered 2026-07
1-year volatility48.1%annualised
Volume spikes7last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%2026−42.2% 0%−20%−40%2026−42.2%
Largest drawdowns

-44.9% (2025-07 peak to 2026-03 low, recovered 2026-07)

-30.6% (2026-09 peak to 2026-10 low, not yet recovered)

Most recent volume spikes

2026-09-17: 5.2x the 50-day median, price +4.6% that day

2026-07-14: 5.1x the 50-day median, price -7.5% that day

2026-07-13: 8.6x the 50-day median, price +7.1% that day

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

  • ROCE31st▲ 4 pts vs a year ago
  • Op. margin100thflat vs a year ago
  • Revenue growth86th
  • EPS growth80th
  • Debt/equity ↓38th▲ 33 pts vs a year ago
  • Cash cycle ↓49th▼ 8 pts vs a year ago
  • P/E ↓11th▲ 4 pts vs a year ago
  • 12M momentum63rd

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?

~48%annual earnings growth implied by the price

At a P/E of 235.0x, the price would imply about 47.5%/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
₹255.11
P/E
92.4x
ROCE
8.0%
Market Cap
₹28259 cr
Revenue (TTM)
₹948 cr
P/S
29.8x
P/B
6.6x
ROE
7.1%
Operating Margin
77.0%
Debt / Equity
0.9x
Promoter Holding
86.9%
12M Momentum
-2.1%

52-week range

₹158.00₹320.95
60% of the way from its 52-week low to its high

Price risk

1Y volatility
48.1%
Beta vs sector
1-year daily
0.75

Balance sheet & cash

Interest cover
operating profit ÷ interest
4.4x
Cash from profit, 3Y
operating cash flow ÷ net profit
2.47x
Share count, 1Y
+12.0%

Are profits backed by cash?

4 of 5checks within range1 near a threshold
Other income reliance7%Within range

Other income as a share of pre-tax profit (trailing twelve months): 7.3%. Bands: below 15%, 15% to 35%, above 35%.

Tax rate16%Within range

Median quarterly effective tax rate over about 2.5 years: 16.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Cash conversion2.47xWithin range

Operating cash flow divided by net profit over the last three fiscal years: 2.47x (cash from operations ₹1,615 cr, net profit ₹654 cr). Bands: 0.8x and above, 0.5x to 0.8x, below 0.5x.

Free cash flow2 of 5 yrsNear threshold

Fiscal years with positive free cash flow in the last 5: 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 progress3% of fixed assetsWithin range

Capital work-in-progress is 3% 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?

  • Since Jun 2025, FIIs trimmed 0.5 pts.
  • The number of shareholders fell from 57,139 to 50,411 (-12%) between Jun 2025 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupJun '25Jun '26Change
Promoters86.9%86.9%0.0 pts
FIIs5.9%5.3%-0.5 pts
DIIs5.3%5.3%0.0 pts
Public and others1.9%2.4%+0.5 pts

Number of shareholders

50,411shareholders-12% since Jun '25
47k50k54k57k Jun '25Sep '25Dec '25Mar '26Jun '26
Jun '25: 57,139
Sep '25: 48,323
Dec '25: 47,170
Mar '26: 48,956
Jun '26: 50,411
47k50k54k57k Jun '25Dec '25Jun '26
Jun '25: 57,139
Sep '25: 48,323
Dec '25: 47,170
Mar '26: 48,956
Jun '26: 50,411

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

−13.1%typical 12-month return vs the marketBelow the base rate
  • We found 50 past situations where a non-financial company looked like AEGIS VOPAK TERMINALS 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 −28% to +5% vs the market, against −3% for all non-financial companies in the same months.
  • The analogs' median sat below that base rate (gap −10.2%, 80% range −19.4% to −3.2%), but the matches cluster in only 6 distinct 12-month windows.

Where the 50 outcomes landed

−80%−60%−40%−20%0%+20%+40%+60%
ASIANTILES · Oct 2020: −65.2% vs market
DHANI · Dec 2020: −61.7% vs market
ANURAS · May 2023: −54.4% vs market
TEJASNET · Aug 2024: −52.0% vs market
ADANIGREEN · Apr 2024: −50.7% vs market
TASTYBITE · Aug 2023: −44.9% vs market
SUNTECK · May 2022: −43.1% vs market
ATGL · May 2024: −37.4% vs market
SJVN · Aug 2025: −35.8% vs market
GODREJPROP · Jul 2024: −30.6% vs market
WESTLIFE · Sep 2023: −30.4% vs market
IMAGICAA · Sep 2024: −29.1% vs market
JUBLINGREA · May 2022: −29.0% vs market
HINDOILEXP · May 2023: −26.5% vs market
LEMONTREE · Sep 2023: −26.2% vs market
ADANIENSOL · Jul 2024: −24.6% vs market
JUNIPER · Sep 2025: −24.6% vs market
HESTERBIO · May 2021: −23.7% vs market
JSWENERGY · Sep 2024: −21.5% vs market
MAHLIFE · Jul 2023: −20.7% vs market
BATAINDIA · Aug 2022: −20.6% vs market
NETWORK18 · Oct 2021: −19.9% vs market
JSWINFRA · Nov 2024: −16.5% vs market
BHARTIHEXA · Sep 2025: −14.7% vs market
PROZONER · May 2020: −13.7% vs market
MEDANTA · Mar 2024: −12.5% vs market
CHALET · Jun 2025: −11.7% vs market
MOTILALOFS · Jul 2020: −11.7% vs market
SAPPHIRE · Nov 2022: −9.9% vs market
ADANIPORTS · Apr 2021: −5.2% vs market
DEVYANI · Aug 2022: −2.9% vs market
METROBRAND · Mar 2023: −2.3% vs market
VBL · Jan 2020: −1.6% vs market
TARC · Apr 2024: −1.3% vs market
ITI · Mar 2020: +1.9% vs market
NEOGEN · Sep 2022: +2.4% vs market
VIPIND · Aug 2022: +2.5% vs market
BIOCON · Jan 2020: +6.1% vs market
ZYDUSWELL · Jan 2020: +8.2% vs market
PARAS · Aug 2024: +10.6% vs market
MAXESTATES · Oct 2025: +14.4% vs market
LODHA · Jul 2022: +15.7% vs market
DLF · Mar 2020: +16.2% vs market
VIJAYA · May 2025: +33.9% vs market
UNOMINDA · Feb 2021: +35.1% vs market
MAXHEALTH · Jul 2022: +40.3% vs market
ELGIEQUIP · Feb 2022: +42.9% vs market
PHOENIXLTD · Mar 2023: +44.0% vs market
AZAD · Jul 2025: +47.6% vs market
PTCIL · Feb 2025: +48.9% vs market
Similar setups −13.1%All companies −2.9%← 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

Similar setups' median
−13.1%
All companies' median
−2.9%
Beat the market
32% vs 47%

50 past situations · 50 companies · 35 months · 2020–2025

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
GODREJPROP
Finance
Jul 2024 123x6% +85%−5% −31%
PHOENIXLTD
Finance
Mar 2023 98x5% +18%−16% +44%
DEVYANI
Consumer Services
Aug 2022 142x16% +47%−13% −3%
ITI
Electronic Technology
Mar 2020 61x7% −35%−40% +2%
HINDOILEXP
Energy Minerals
May 2023 120x6% +2%−15% −27%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
LODHA
Finance
Jul 2022 46x10% +34%−23% +16%
CHALET
Consumer Services
Jun 2025 141x11% +15%−9% −12%
IMAGICAA
Consumer Services
Sep 2024 391x3% +56%−19% −29%
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 P/E. 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 AEGIS VOPAK TERMINALS 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.

Process Industries
48%similar
P/Emarket cap
Utilities
46%similar
market capoperating margin
Electronic Technology
44%similar
promoter holdingP/E
Consumer Non-Durables
39%similar
revenueROCE
Health Technology
35%similar
revenuevolatility
Transportation
28%similar
debt/equityP/E
Transportation
23%similar
P/Epromoter holding
Transportation
23%similar
promoter holdingvolatility

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

What changed?

11 events since Dec '25

  1. OctPriceFell 31% from the Sep 2026 peak to the Oct 2026 low.
  2. JulPriceRegained the 2025-07 peak, 4 months after the low.
  3. JulDebtDebt / equity halved over 12 months to 0.87x.
  4. JulPriceVolume reached 19.2x its 50-day median on 2026-07-06; price +8.8% that day.
  5. JunDebtDebt / equity fell below 1.0x (0.87x).
  6. JunDividendStarted paying a dividend (payout 71% of profit).
  7. JunSharesShare count is up 12.0% over 12 months.
  8. MayPriceVolume reached 9.1x its 50-day median on 2026-05-07; price +7.5% that day.
Show 3 earlier events
  1. MarPriceFell 45% from the Jul 2025 peak to the Mar 2026 low.
  2. JanPriceVolume reached 21.5x its 50-day median on 2026-01-27; price +9.5% that day.
  3. DecPriceVolume reached 10.0x its 50-day median on 2025-12-01; price +4.8% 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
MonthP/ERevenue (TTM)ROEROCEDebt / Equity
2026-1192.4x₹948 cr7.1%8.0%0.9x
2026-1080.1x₹948 cr7.2%8.0%0.9x
2026-09107.5x₹948 cr7.2%8.0%0.9x
2026-0896.0x₹922 cr7.4%8.0%0.9x
2026-07103.6x₹922 cr7.4%8.0%0.9x
2026-0683.8x₹922 cr7.4%8.0%0.9x
2026-0570.8x₹878 cr22.9%9.0%3.0x
2026-0468.5x₹878 cr22.9%9.0%3.0x
2026-0358.4x₹878 cr22.9%9.0%3.0x
2026-0294.6x₹801 cr19.4%9.0%3.0x
2026-0194.1x₹801 cr19.4%9.0%3.0x
2025-12103.5x₹801 cr19.4%9.0%3.0x
2025-11141.6x₹718 cr14.0%9.0%3.0x
2025-10151.6x₹718 cr14.0%9.0%3.0x
2025-09141.6x₹718 cr14.0%9.0%3.0x
2025-08168.6x₹664 cr10.3%9.0%3.0x
2025-07163.1x₹664 cr10.3%9.0%3.0x
2025-06166.9x₹664 cr10.3%9.0%3.0x

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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