Genworth Financial, Inc (GNW) Fair Value & Analysis
Financial Services · US · Market cap $3.2B
Analysis
Genworth Financial, Inc (GNW) currently trades at $9.29, while our model-based Fair Value estimate is $7.57 — implying the stock looks roughly 18.5% overvalued today. We read business quality at 93/100 (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
Genworth Financial, Inc., together with its subsidiaries, provides mortgage and long-term care insurance products in the United States. It operates through two segments: Enact and Closed Block. The company offers primary mortgage, and mortgage insurance products, and contract underwriting services. It also provides long-term care insurance products that are intended to protect against the significant and escalating costs of long-term care services provided in the insured's home, assisted living, and nursing facilities. In addition, the company offers protection and retirement income products, that includes traditional and non-traditional life insurance, such as term, universal and term universal life insurance, corporate-owned life insurance, and funding agreements; fixed annuities; and variable annuities. It distributes its products through sales force, sales representatives, and digital marketing programs. Genworth Financial, Inc. was founded in 1871 and is headquartered in Glen A…
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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.