Angel One Limited (ANGELONE) Fair Value & Analysis
Financial Services · IN · Market cap ₹306B
Fair value as of: Jun 29, 2026
Analysis
Angel One Limited (ANGELONE) currently trades at ₹335.25, while our model-based Fair Value estimate is ₹93.77 — implying the stock looks roughly 72.0% overvalued today. We read business quality at 97/100 (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
Angel One Limited provides broking and advisory services, margin funding, and financial products to its clients in India and internationally. The company provides equity, commodities, derivatives, and currency derivative products. It also manages client's securities in the electronic form; facilitates clients in applying for initial public offerings; and provides funds to investors for trading. In addition, the company offers insurance, mutual funds, sovereign gold bonds, and credit products; and investment insight and market research services; as well as educates clients on financial markets and investing strategies. Further, it provides portfolio management, trading accounts, and DEMAT account services. Additionally, the company engages in stock, currency and commodity broking, provides margin trading facility, depository services, and distribution of mutual funds; asset and wealth management services, software consultancy, annual maintenance services and other financial services.…
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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.