One97 Communications Limited (PAYTM) Fair Value & Analysis
Technology · IN · Market cap ₹682B
Analysis
One97 Communications Limited (PAYTM) currently trades at ₹1,088, while our model-based Fair Value estimate is ₹181.60 — implying the stock looks roughly 83.3% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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: medium).
About the company
One97 Communications Limited provides payment, commerce and cloud, and financial services to consumers and merchants in India, the United Arab Emirates, Saudi Arabia, and Singapore. The company offers payment and financial services, including payment facilitator services, facilitation of consumer and merchant lending to consumers and merchants, wealth management, etc. It also provides marketing services consist of aggregators for digital products, the ticketing business, the provision of voice and messaging platforms to telecom operators, enterprise customers and other businesses, etc. In addition, the company offers mobile recharge; bill payments, such as utility bills, education and money transfers on the app, online payment gateways, as well as offline payment solutions to merchants through QR codes, soundbox, and card machines. Further, it provides digital distribution of credit, insurance, mutual funds distribution, and equity broking services; other services, including ticketi…
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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.