Delhivery Limited (DELHIVERY) Fair Value & Analysis
Industrials · IN · Market cap ₹348B
Fair value as of: Jun 29, 2026
Analysis
Delhivery Limited (DELHIVERY) currently trades at ₹464.80, while our model-based Fair Value estimate is ₹54.37 — implying the stock looks roughly 88.3% overvalued today. We read business quality at 97/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Delhivery Limited provides supply chain solutions in India. It offers express parcel services; part truckload services; supply chain services that provide integrated warehousing and transportation services; point-to-point and multi-point full-truckload services; and cross-border services comprising door-to-door and port-to-port parcel and freight shipping services. The company also provides Delhivery Rapid, a network of shared in-city forward fulfillment centers, as well as Delhivery Direct, an on-demand intra-city pickup and delivery service. In addition, it offers SaaS and data solutions, such as the OS1 platform that provides APIs and SDKs; TransportOne, a transport management system solution; and LocateOne and RTOne data solutions for e-commerce companies. The company provides its services to e-commerce marketplaces, direct-to-consumer e-tailers, enterprises, FMCG, consumer durables, consumer electronics, lifestyle, retail, automotive, and manufacturing industries. Delhivery Lim…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Delhivery Limited (DELHIVERY) undervalued?
What is the fair value of DELHIVERY?
What is the quality score of DELHIVERY?
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.