HDB Financial Services Limited (HDBFS) Fair Value & Analysis
Financial Services · IN · Market cap ₹532B
Analysis
HDB Financial Services Limited (HDBFS) currently trades at ₹733.25, while our model-based Fair Value estimate is ₹614.14 — implying the stock looks roughly 16.2% overvalued today. We read business quality at 93/100 (high quality), in the Financial Services 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
HDB Financial Services Limited operates as a non-banking financial company that provides lending and business process outsourcing services in India. The company offers personal loans, salaried personal loans, business loans, micro lending loans, auto loans, two-wheeler loans, gold loans, loans against property, enterprise business loans, consumer durable loans, commercial vehicle loans, construction equipment loans, car loans, digital and lifestyle product loans, digital lending, tractor loans, and general and life insurance products. Its BPO services include back-office services, such as forms processing, documents verification, finance and accounting services, and correspondence management; and front office services, consisting of contact center management, outbound marketing, and collection services. The company was incorporated in 2007 and is based in Mumbai, India. HDB Financial Services Limited operates as a subsidiary of HDFC Bank Limited.
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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.