360 One Wam Limited (360ONE) Fair Value & Analysis
Financial Services · IN · Market cap ₹437B
Analysis
360 One Wam Limited (360ONE) currently trades at ₹1,117, while our model-based Fair Value estimate is ₹338.75 — implying the stock looks roughly 69.7% 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
360 One Wam Limited, together with its subsidiaries, engages in the provision of wealth and asset management services primarily in India. It operates through Wealth Management and Asset Management segments. The Wealth Management segment distributes financial products; advisory, broking and research, portfolio management, corporate treasury solutions, estate planning and managing services for financial products. This segment is also involved in lending and investment activities. The Asset Management segment engages in the management of pooled funds under various products and structures, such as mutual funds, alternative asset funds, portfolio management and related activities, advisory and offshore spanning public and private equity, fixed income, and real assets. It serves professionals, corporate treasuries, family offices, entrepreneurs, and public figures. The company was formerly known as IIFL Wealth Management Limited and changed its name to 360 One Wam Limited in January 2023.…
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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.