Apeejay Surrendra Park Hotels Limited Intrinsic Value

PARKHOTELS · Consumer Services · Current price ₹106.28

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DocStoX fair value
₹97
low confidence · 44/100
Current price
₹111
Upside to fair value
-12.4%
Estimate range
₹58 – ₹120
Quality score
3.2 / 10
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Is Apeejay Surrendra Park Hotels Limited undervalued?

We estimate the fair value of Apeejay Surrendra Park Hotels Limited at ₹97 per share, against a market price of ₹111. That puts the share price about -12.4% above our estimate, at low confidence. This is our view of what the business is worth, not a target price or a forecast of where the share price will go.

How this fair value is calculated

This estimate comes from 2 methods: Fair multiple (P/E) (₹120), Residual income (excess return on book) (₹57). Each is weighted by how well its inputs held up for this company. The full working, including the assumptions and what data was missing, is set out below.

The range around this estimate

Our estimate for Apeejay Surrendra Park Hotels Limited spans ₹58 to ₹120. That range is wide, which is the honest signal here: read the range rather than the single number. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Margin of safety

Value investors look for a margin of safety: a discount to estimated value that absorbs being wrong. At ₹111 against an estimated value of ₹97, Apeejay Surrendra Park Hotels Limited trades at -12.4%, i.e. a premium to our estimate. How much margin to demand depends on how much you trust the inputs, which is what the confidence band below is for.

How we got this fair value

Every number below is part of the same estimate for Apeejay Surrendra Park Hotels Limited. Nothing here is a target price or a forecast of where the share price will go.

Low confidence44/100

The inputs are thin or the models disagree sharply. This is our least reliable kind of estimate, so read the range rather than the single number.

Estimate range ₹58 – ₹120

Why this method for this business

Relative PE and residual income models are most appropriate for a hotel business with a narrow moat and cyclical earnings patterns. DCF is less suitable due to the high sensitivity to discount rates and terminal growth assumptions.

The models behind the number

Each method is weighted by how well its inputs held up for this company.

Fair multiple (P/E)
₹12060% weight
Residual income (excess return on book)
₹5740% weight

Book value plus the present value of returns earned above the 10.6% cost of equity

  • dcf
  • DCF is less suitable for a cyclical business like hospitality, where earnings are highly sensitive to macroeconomic conditions and demand fluctuations.

What was missing

  • Lack of forward-looking analyst estimates for key metrics
  • Limited data on brand strength and competitive positioning

What drives it

20 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
31.51×

peer-median

Peers used
14

peer-median

EPS (TTM)
2.99 ₹/share

computed

Own-history median P/E
37.24×

reconstructed (one feature, dampened — not a cap)

ROE (normalized)
6.8%

computed

Book value / share
62.9 ₹

reported

MacroEconomy-wide input, not company-specific.
Cost of equity
10.6%

building-block

JudgementOur read of the evidence, not a measurement.
Term: quality
-7.9%

quality 39/100 (weak/erratic returns) → discount

Term: growth
+6.0%

durable ~14% CAGR (ROCE 8% < 12% hurdle (growth not value-accretive)) → premium

Term: capital_allocation
+13.3%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+7.9%

financial strength: low leverage (D/E 0.2) → mild premium

Term: history
+5.5%

history: market paid +18% vs sector, dampened ×0.3 (one feature, not the anchor)

Term: sector_rerating
+0.0%

sector re-rating: no sector-norm history → not used

Term: rate_regime
+1.2%

rates: risk-free 6.9% below ~7.1% normal → higher multiple

Term: risk
+0.0%

risk: no analyst-dispersion signal available → neutral (lowers confidence, not PE)

Moat
None

computed

Excess-return horizon
3 yrs

computed

DerivedFalls out of the inputs above: a model output, not an independent input.
Premium vs sector
+27.5%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
80%

data completeness + term agreement

Fair P/E
40.17×

sector median × ∏(1+term) — Dynamic Fair Multiple

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Apeejay Surrendra Park Hotels Limited: which models suit the business, the moat, the growth and margin assumptions. It does not produce the number. The fair value itself is computed in Python by a deterministic engine (version 2026.08.1) from those inputs, so the same inputs always give the same result and every figure above can be traced to a source.

Estimated 15 Sept 2026. Re-run as new financials and news arrive.

How we value stocks

We estimate what a business is worth from its own economics: cash flows, returns on capital, and a multiple justified by its quality, rather than from where the share price has been. A fair value estimate is a view, not a verdict, and it is only as good as the inputs listed above.

Read the full fair-value methodology

More on Apeejay Surrendra Park Hotels Limited

DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.