MetLife, Inc (MET) Fair Value & Analysis
Financial Services · US · Market cap $53.7B
Analysis
MetLife, Inc (MET) currently trades at $87.56, while our model-based Fair Value estimate is $87.02 — implying the stock looks roughly 0.6% overvalued today. We read business quality at 95/100 (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
MetLife, Inc., a financial services company, provides insurance, annuities, employee benefits, and asset management services worldwide. It operates in six segments: Group Benefits; Retirement and Income Solutions; Asia; Latin America; Europe, the Middle East and Africa; and MetLife Holdings. The company offers life, dental, group short-and long-term disability, paid family and medical leave, individual disability, accidental death and dismemberment, accident and health, vision, and pet insurance, as well as prepaid legal plans; administrative services-only arrangements to employers; and general and separate account, and synthetic guaranteed interest contracts, as well as private floating rate funding agreements. It also provides pension risk transfers, institutional income annuities, structured settlements, and capital markets investment products; and other products and services, such as life insurance products and funding agreements for funding postretirement benefits, as well as c…
Open the full interactive analysis →
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.