Back to SILVERSTORM PARKS AND RESORTS LIMITED

SILVERSTORM PARKS AND RESORTS LIMITED — Peer Comparison

How the peer fair value is calculated and which companies were used as benchmarks.

Peer Bear/Bull unavailable: No peer method currently contributes a fair value. The production Base peer value is retained.

Base peer fair value

₹—

Bear uses each eligible multiple’s 25th percentile; Base retains the current production median; Bull uses the 75th percentile. Quartiles interpolate between sorted observations at (n − 1) × percentile. Each peer has equal weight within a method. These are distribution scenarios, not confidence intervals or scenario probabilities.

Selected peers and raw cached multiples
Peer	P/E	P/B	EV/EBITDA	P/S
STYLEBAAZA	59.25	7.33	—	—
IMAGICAA	89.92	2.50	—	—
EASEMYTRIP	—	2.81	—	—
ORIENTHOT	36.14	3.22	18.86	4.97
PARKHOTELS	39.24	1.92	11.63	3.39
VERANDA	-2,233.18	3.54	—	—
KAUSHALYA	3.23	0.54	780.09	0.85
SPICELOUNG	—	18.68	—	—

The current peer engine’s selected industry/sector peers and cached multiples are preserved. Subject multiples use the engine’s existing EOD-price scaling. Peer observations may have different refresh dates; these scenarios do not claim synchronized market data.

Fair value = the production method’s median fair value × scenario multiple ÷ median multiple, equivalent to the current engine’s price × peer multiple ÷ subject multiple. Effective method weights are normalized across methods with a fair value; the final peer result is rounded to two decimals.

Only methods eligible under the current sector/company rules contribute. Subject multiples must be positive. Peer observations must pass the existing method-specific bounds and sector caps. Four eligible peers per contributing method are required for quartiles; the production median's existing minimum is unchanged. A missing method's Bear/Bull is not replaced with another method or a Base estimate.

Final peer scenario values
Bear	Base	Bull
₹—	₹—	₹—

Peer selection

Peers are selected from the same Consumer Services industry. 8 companies were matched as valid comparables.

Same-industry peers share similar business models, cost structures, and growth prospects — making them the most appropriate benchmarks for valuation multiples.

Peer comparison table

Consumer Services · 8 peers · sector medians shown

Better than medianWorse than median

Company	Mkt Cap	P/E	P/B	EV/EBITDA	ROE	Net Margin	Rev CAGR 3y
SILVERSTORM PARKS AND RESORTS LIMITED SSPRL · you	₹284 Cr	—	—	—	—	—	—
Sector median	—	39.2×	3.0×	15.2×	3.8%	0.2%	9.8%
Baazar Style Retail Limited STYLEBAAZA	₹2,787 Cr	59.3×	7.3×	—	12.4%	0.0%	—
Imagicaaworld Entertainment Limited IMAGICAA	₹2,697 Cr	89.9×	2.5×	—	2.8%	0.3%	—
Easy Trip Planners Limited EASEMYTRIP	₹2,554 Cr	—	2.8×	—	-4.9%	-7.4%	6.1%
Oriental Hotels Limited ORIENTHOT	₹2,455 Cr	36.1×	3.2×	18.9×	8.9%	13.8%	7.8%
Apeejay Surrendra Park Hotels Limited PARKHOTELS	₹2,397 Cr	39.2×	1.9×	11.6×	4.9%	9.3%	11.8%
Veranda Learning Solutions Limited VERANDA	₹2,367 Cr	-2233.2×	3.5×	—	-0.2%	-0.0%	—
Kaushalya Infrastructure Development Corporation Limited KAUSHALYA	₹2,120 Cr	3.2×	0.5×	780.1×	16.8%	0.5%	58.7%
SPICE LOUNGE FOOD WORKS LIMITED SPICELOUNG	₹1,927 Cr	—	18.7×	—	0.1%	0.0%	—

Peer comparison verdict

SILVERSTORM is fairly valued relative to sector peers — trading near the sector median on key multiples (P/E ~39.2×, EV/EBITDA ~15.2×). Focus on execution quality and earnings trajectory from here.

Why median? Why these weights?

Median over mean: The sector median is used instead of the average because valuation multiples have extreme outliers — one high-growth company at 200× P/E would dramatically skew a mean. The median gives the middle value in the peer set, which better represents typical pricing.

Sector-specific weights: The weight given to each method reflects what matters most in this sector. For banks, P/B dominates because their value is tied to book assets. For IT companies, P/E carries the most weight because earnings quality matters more than asset base. For capital-intensive businesses, EV/EBITDA accounts for varying debt levels across peers and removes financing structure bias.

Limitations of peer comparison

Peer comparison assumes comparable companies are truly comparable — which is never perfectly true. Sector classifications can be imperfect: a conglomerate classified as "IT" may also have significant manufacturing revenue. Small peer counts (below 5) reduce confidence, as a single outlier can skew the sector median. When the entire sector is broadly expensive, peer comparison will show even an expensive stock as "fairly valued" relative to its peers.

The peer fair value shown is an algorithmic estimate based on publicly available financial data. It is not investment advice or a recommendation to buy, sell, or hold any security. Please consult a SEBI-registered investment adviser before making any investment decision.