MakeMyTrip Limited (MMYT) Fair Value & Analysis
Consumer Cyclical · US · Market cap $4.4B
Analysis
MakeMyTrip Limited (MMYT) currently trades at $46.57, while our model-based Fair Value estimate is $19.66 — implying the stock looks roughly 57.8% overvalued today. We read business quality at 96/100 (high quality), in the Consumer Cyclical 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
MakeMyTrip Limited, together with its subsidiaries, operates as a travel service provider in India, the United States, Singapore, Malaysia, Thailand, the United Arab Emirates, Peru, Colombia, Vietnam, Cambodia, and Indonesia. The company operates through three segments: Air Ticketing, Hotels, and Packages and Bus Ticketing. Its products and services include air ticketing, hotels and packages, bus tickets, rail tickets, and car hire; activities and experiences and ancillary travel requirements, such as facilitating access to third-party travel and other insurance products, foreign currency exchange services, and visa-related products and services under the MakeMyTrip, Goibibo, and redBus brands. The company allows travelers to research, plan, and book a range of travel services and products in India and internationally through its primary websites, including makemytrip.com, goibibo.com, redbus.in, and makemytrip.ae; and other technology-enhanced distribution channels, such as call ce…
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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.