Motilal Oswal Financial Services Limited (MOTILALOFS) Fair Value & Analysis
Financial Services · IN · Market cap ₹515B
Analysis
Motilal Oswal Financial Services Limited (MOTILALOFS) currently trades at ₹936.15, while our model-based Fair Value estimate is ₹299.70 — implying the stock looks roughly 68.0% overvalued today. We read business quality at 96/100 (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
Motilal Oswal Financial Services Limited offers financial services in India. It operates through Wealth Management, Capital Markets, Asset and Private Wealth Management, Home Finance, and Treasury Investments segments. The company offers broking and distribution services, such as equities, derivatives, commodities, currencies, mutual funds, and insurance products, as well as depository, portfolio management, and asset management services. It also provides private wealth management services, such as equity, alternate, credit, estate planning, and property advisory services; and home finance. In addition, the company offers institutional broking services, including cash and derivatives; private equity services; and investment banking services, including international capital markets, private equity funds, structured finance syndication, mergers and acquisitions advisory, and financial restructuring advisory. It serves high net worth individuals; and mutual funds, foreign institutional…
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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.