Affiliated Managers Group (AMG) Fair Value & Analysis
Financial Services · US · Market cap $8.2B
Analysis
Affiliated Managers Group (AMG) currently trades at $339.10, while our model-based Fair Value estimate is $171.65 — implying the stock looks roughly 49.4% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Affiliated Managers Group, Inc., through its affiliates, operates as an investment management company providing investment management services to mutual funds, institutional clients,retails and high net worth individuals in the United States. It provides advisory or sub-advisory services to mutual funds. These funds are distributed to retail, high net worth and institutional clients directly and through intermediaries, including independent investment advisors, retirement plan sponsors, broker-dealers, major fund marketplaces, and bank trust departments. The company also offers investment products in various investment styles in the institutional distribution channel, including small, small/mid, mid, and large capitalization value and growth equity, and emerging markets. In addition, it offers quantitative, alternative, and fixed income products, and manages assets for foundations and endowments, defined benefit, and defined contribution plans for corporations and municipalities. Af…
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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.