अApnaFunda

PHANTOM DIGITAL EFFECTS LTD (PHANTOMFX)

Consumer Services · Movies/Entertainment · 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.74 / 100
Profitability 80Balance sheet 67

Share price

Closing priceAdjusted for splits and bonus issues.

₹69.7 latest close · −59.7% over the last 90 sessions

₹100₹150₹200Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹100₹150₹200Jul 3Sep 4Nov 9

₹69.7 month-end · −75.7% over 12 months

₹100₹200₹300Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹100₹200₹300Nov '25May '26Nov '26

₹69.7 month-end · −81.6% since Jun '24

₹100₹200₹300₹400Jun '24Dec '24Jun '25Nov '25May '26Nov '26 ₹100₹200₹300₹400Jun '24Sep '25Nov '26

52-week range ₹67.35 to ₹311.00 · 1-year volatility 67.7%

Was the rally earned?

-76%share price, 1 yearMultiple-driven

Mostly the multiple.

  • Most of the fall came from investors paying a lower multiple (P/E 19.3x to 4.7x); per-share earnings added 0 points.
  • The share count barely moved.
P/E change: −76 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−76 ptsP/E changeShare price: −76%−76%Share priceP/E change: −76 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.−76P/EShare price: −76%−76%Share price
Net profit growth0 ptsNet profit was little changed.
P/E change-76 ptsThe P/E fell from 19.3x to 4.7x, which lowers the price.
Share count change0 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 PRIME FOCUS

How rough has the ride been?

Maximum drawdown-87.8%not yet recovered
1-year volatility67.7%annualised

Drawdown from peak

0%−25%−50%−75%2023202420252026−87.8% 0%−25%−50%−75%202420252026−87.8%
Largest drawdowns

-87.8% (2023-08 peak to 2026-11 low, not yet recovered)

-51.0% (2022-10 peak to 2023-03 low, recovered 2023-05)

-16.8% (2023-07 peak to 2023-07 low, recovered 2023-08)

Is it expensive against its own past and its peers?

4.7xP/E todayNear its historic low
Against its own history3rd percentile
CheapestMedian 13.9xDearest

Usual range 7.8x to 20.3x since 2024-06.

Against Consumer Services4.7x vs 22.4x
This company
4.7x
Sector median
22.4x

79% below the Consumer Services median.

4.7x19.8x34.8x49.9xJun '24Dec '24Jun '25Dec '25Jun '26Nov '264.7x19.8x34.8x49.9xJun '24Apr '25Feb '26Nov '26
P/E (this company)10th to 90th percentile of its own historyIts medianConsumer Services median

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P/B (this company)10th to 90th percentile of its own historyIts medianConsumer Services median

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P/S (this company)10th to 90th percentile of its own historyIts medianConsumer Services median
How to read this

Shaded band: 10th to 90th percentile of the company's own P/E history; dotted line: its median; orange line: sector median (companies with a positive multiple, at least 5 in the sector).

Sector figures are built from today's listed companies, so they exclude companies that are no longer listed.

All terms explained in the glossary →

How Consumer Services is valued

Where does it rank among Consumer Services peers?

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

  • ROCE80th▲ 6 pts vs a year ago
  • Revenue growth27th▼ 41 pts vs a year ago
  • EPS growth49th▲ 16 pts vs a year ago
  • Debt/equity ↓49thflat vs a year ago
  • Cash cycle ↓9th▼ 4 pts vs a year ago
  • P/E ↓94th▲ 28 pts vs a year ago
  • 12M momentum3rd▼ 81 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 Consumer Services sector page Watch it move against Consumer Services in the Observatory

What is the price implying?

~0%annual earnings growth implied by the price

At a P/E of 4.7x, the price would imply about −0.3%/yr earnings growth for 10 years under the same assumptions, but it is not ranked.

Earnings figures have not updated recently, so the company is left out of the lists.

“Implied growth” is what the current price would require under our stated assumptions, not what we expect.

What prices imply across Consumer Services The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹69.70
P/E
4.7x
ROCE
18.0%
Market Cap
₹111 cr
Revenue (TTM)
₹102 cr
P/S
1.1x
P/B
0.7x
ROE
14.3%
Debt / Equity
0.3x
Promoter Holding
44.0%
12M Momentum
-75.7%

52-week range

₹67.35₹311.00
1% of the way from its 52-week low to its high

Price risk

1Y volatility
67.7%
Beta vs sector
1-year daily
1.06

Balance sheet & cash

Interest cover
operating profit ÷ interest
6.4x
Share count, 1Y
unchanged

Are profits backed by cash?

1 of 2checks within range1 beyond a threshold
Other income reliance7%Within range

Other income as a share of pre-tax profit (trailing twelve months): 7.1%. 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+50 daysBeyond threshold

Debtor days are above the median of the previous three fiscal years by 50 days (307 vs 257). Bands: under 15 days, 15 to 45, over 45.

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 10.8 pts; FIIs trimmed 7.0 pts; DIIs trimmed 6.3 pts.
  • The number of shareholders rose from 1,078 to 4,194 (+289%) between Mar 2023 and Jun 2026.

Holdings, Jun '26

How each group changed

GroupMar '23Jun '26Change
Promoters63.9%44.0%-20.0 pts
FIIs0.0%1.8%+1.8 pts
DIIs0.0%0.9%+0.9 pts
Public and others36.1%53.4%+17.3 pts

Number of shareholders

4,194shareholders+289% since Mar '23
1k3k4k6k Mar '23Mar '24Mar '25Mar '26Jun '26
Mar '23: 1,078
Dec '23: 2,359
Mar '24: 4,142
Sep '24: 5,551
Mar '25: 4,970
Sep '25: 4,726
Mar '26: 4,261
Jun '26: 4,194
1k3k4k6k Mar '23Sep '24Mar '26Jun '26
Mar '23: 1,078
Dec '23: 2,359
Mar '24: 4,142
Sep '24: 5,551
Mar '25: 4,970
Sep '25: 4,726
Mar '26: 4,261
Jun '26: 4,194

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

−12.4%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 PHANTOM DIGITAL EFFECTS 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 −33% to +25% vs the market, against −5% for all non-financial companies in the same months.
  • The gap against the base rate (−7.2%, 80% range −14.2% to +6.6%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
PPSL · Oct 2025: −77.1% vs market
DIL · Jan 2024: −72.0% vs market
FMNL · Oct 2020: −66.2% vs market
BEWLTD · Oct 2025: −65.5% vs market
CRAYONS · Dec 2024: −62.2% vs market
PARAGON · Nov 2024: −55.5% vs market
QUICKTOUCH · Apr 2025: −53.2% vs market
KONSTELEC · Mar 2025: −51.7% vs market
BALAXI · May 2025: −48.7% vs market
DEEM · Feb 2025: −46.8% vs market
INDTERRAIN · Apr 2020: −44.2% vs market
CMRSL · Nov 2023: −43.9% vs market
ZENITHDRUG · Sep 2025: −33.6% vs market
VLINFRA · Jul 2025: −33.0% vs market
ARVINDPORT · Sep 2025: −28.2% vs market
NIDAN · Sep 2023: −26.9% vs market
UFO · May 2020: −22.8% vs market
VINNY · Jul 2025: −22.1% vs market
PROLIFE · May 2024: −20.3% vs market
SHEMAROO · Feb 2020: −19.5% vs market
SCPL · Dec 2023: −18.7% vs market
LAMBODHARA · Apr 2024: −18.3% vs market
BESTAGRO · Jul 2024: −15.2% vs market
ASIANTILES · Jul 2022: −14.7% vs market
CHEMBOND · Jul 2025: −12.5% vs market
ALPHAGEO · Jan 2020: −12.4% vs market
SYNOPTICS · Jul 2024: −4.3% vs market
MHHL · Aug 2024: +1.0% vs market
LIBAS · Sep 2023: +4.1% vs market
RPPINFRA · Nov 2020: +4.1% vs market
SHREYANIND · Sep 2020: +8.2% vs market
RUCHIRA · Sep 2020: +8.3% vs market
BLISSGVS · Feb 2022: +10.8% vs market
RKEC · May 2022: +11.2% vs market
ROCKINGDCE · Jun 2025: +11.5% vs market
SUMIT · Apr 2021: +14.4% vs market
NAGREEKEXP · Apr 2023: +19.4% vs market
TRANSWORLD · Dec 2023: +26.4% vs market
KELLTONTEC · Oct 2021: +29.7% vs market
SKMEGGPROD · Aug 2024: +46.9% vs market
KOPRAN · Feb 2023: +50.1% vs market
KOTYARK · Oct 2025: +56.5% vs market
GSS · May 2020: +73.0% vs market
NCC · Jun 2020: +82.3% vs market
BLS · Apr 2020: +93.8% vs market
ABSMARINE · May 2025: +97.6% vs market
SHUBHLAXMI · Jun 2021: +98.2% vs market
TRANSTEEL · Nov 2024: +195.5% vs market
AURIONPRO · Jul 2020: +198.9% vs market
TIRUPATIFL · Nov 2023: +214.6% vs market
Similar setups −12.4%All companies −5.2%← 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 · 3 beyond the range shown, drawn at the edge

Similar setups' median
−12.4%
All companies' median
−5.2%
Beat the market
46% vs 44%

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

The closest matches

CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
DEEM
Producer Manufacturing
Feb 2025 7x14% −67%−69% −47%
SHEMAROO
Consumer Services
Feb 2020 2x21% −84%−85% −20%
ARVINDPORT
Industrial Services
Sep 2025 8x— −64%−69% −28%
BALAXI
Health Technology
May 2025 10x21% −58%−65% −49%
TIRUPATIFL
Producer Manufacturing
Nov 2023 12x32% −42%−52% +215%
Show the other 3 matches
CompanyWhenP/EROCE12M mom.DrawdownNext 12 months
GSS
Technology Services
May 2020 3x10% −83%−85% +73%
UFO
Consumer Services
May 2020 3x19% −77%−78% −23%
BLS
Technology Services
Apr 2020 3x26% −76%−78% +94%
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: interest cover, debt/equity and drawdown from 12-month high. 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 PHANTOM DIGITAL EFFECTS 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?

12 events since Mar '23

  1. NovPriceFell 88% from the Aug 2023 peak to the Nov 2026 low.
  2. SepPeer rankSlipped to the 3rd quartile of Consumer Services on EPS growth (from the 2nd quartile).
  3. JunValuationP/E fell below the 10th percentile of its own history to date (11.8x).
  4. JunPeer rankMoved into the top quartile of Consumer Services on ROCE (from the 2nd quartile).
  5. DecPromoterPromoter holding fell 9.9 pts to 44.8%.
  6. SepPeer rankSlipped to the 2nd quartile of Consumer Services on ROCE (from the top quartile).
  7. JunResultsRevenue (TTM) reached a new high of ₹102 cr.
  8. JunInstitutionsFII + DII holding fell 4.8 pts over 2 quarters to 0.2%.
Show 4 earlier events
  1. MarPromoterPromoter holding fell 9.1 pts to 54.8%.
  2. MarInstitutionsFII + DII holding rose 15.9 pts over 1 quarter to 15.9%.
  3. MayPriceRegained the 2022-10 peak, 2 months after the low.
  4. MarPriceFell 51% from the Oct 2022 peak to the Mar 2023 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
2026-114.7x₹102 cr14.3%18.0%0.3x
2026-104.8x₹102 cr14.3%18.0%0.3x
2026-095.9x₹102 cr14.3%18.0%0.3x
2026-088.0x₹102 cr14.3%18.0%0.3x
2026-0711.3x₹102 cr14.3%18.0%0.3x
2026-0611.8x₹102 cr14.3%18.0%0.3x
2026-0512.3x₹102 cr14.3%18.0%0.3x
2026-0413.1x₹102 cr14.3%18.0%0.3x
2026-0310.6x₹102 cr14.3%18.0%0.3x
2026-0214.5x₹102 cr14.3%18.0%0.3x
2026-0113.6x₹102 cr14.3%18.0%0.3x
2025-1215.7x₹102 cr14.3%18.0%0.3x
2025-1119.3x₹102 cr14.3%18.0%0.3x
2025-1016.4x₹102 cr14.3%18.0%0.3x
2025-0915.6x₹102 cr14.3%18.0%0.3x
2025-0817.4x₹102 cr14.3%18.0%0.3x
2025-0720.2x₹102 cr14.3%18.0%0.3x
2025-0617.0x₹102 cr14.3%18.0%0.3x
2025-0514.1x₹89 cr19.6%—0.1x
2025-0413.7x₹89 cr19.6%—0.1x
2025-0310.1x₹89 cr19.6%—0.1x
2025-0212.3x₹89 cr19.6%—0.1x
2025-0112.2x₹89 cr19.6%—0.1x
2024-1212.0x₹89 cr19.6%—0.1x
2024-1114.8x₹89 cr19.6%—0.1x
2024-1018.0x₹89 cr19.6%—0.1x
2024-0919.6x₹89 cr19.6%—0.1x
2024-0821.6x₹89 cr19.6%—0.1x
2024-0722.2x₹89 cr19.6%—0.1x
2024-0621.3x₹89 cr19.6%—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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