GPT Infraprojects — Peer Comparison

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

Peer selection

Peers are selected from the same Construction 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

Construction · 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
GPT Infraprojects GPTINFRA · you	₹1,346 Cr	15.7×	2.5×	8.6×	16.1%	7.5%	16.8%
Sector median	—	16.5×	2.4×	6.2×	10.6%	2.9%	-4.0%
G R Infraprojects Limited GRINFRA	₹8,640 Cr	9.4×	0.9×	6.6×	9.6%	10.7%	-4.0%
Welspun Enterprises Limited WELENT	₹7,773 Cr	27.6×	3.1×	—	11.1%	0.1%	—
Power Mech Projects Limited POWERMECH	₹7,752 Cr	22.5×	4.0×	—	17.9%	0.1%	—
Hindustan Construction Company Limited HCC	₹6,457 Cr	33.5×	3.1×	—	7.8%	4.2%	-21.7%
Ceigall India Limited CEIGALL	₹5,940 Cr	8.9×	2.6×	5.7×	29.2%	7.8%	24.8%
Isgec Heavy Engineering Limited ISGEC	₹5,800 Cr	53.2×	2.1×	10.8×	4.0%	1.6%	2.0%
PNC Infratech Limited PNCINFRA	₹5,594 Cr	10.5×	1.1×	—	10.1%	0.2%	—
Dilip Buildcon Limited DBL	₹5,567 Cr	4.8×	1.0×	3.6×	19.1%	14.5%	-5.5%

Peer comparison verdict

GPT is fairly valued relative to sector peers — trading near the sector median on key multiples (P/E ~16.5×, EV/EBITDA ~6.2×). Focus on execution quality and earnings trajectory from here.

How the peer fair value is calculated

Three valuation methods are weighted by sector. Each gives a fair value based on how sector peers are currently priced.

Method breakdown

20% weight · 8 peers

Sector median PE16.5×

Fair value via PE₹122

50% weight · 8 peers

Sector median PB2.4×

Fair value via PB₹109

EV/EBITDA

30% weight · 4 peers

Sector median EV/EBITDA6.2×

Fair value via EV/EBITDA₹83

Blended peer fair value₹104

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.