Voya Financial, Inc (VOYA) Fair Value & Analysis
Financial Services · US · Market cap $7.6B
Analysis
Voya Financial, Inc (VOYA) currently trades at $90.15, while our model-based Fair Value estimate is $76.48 — implying the stock looks roughly 15.2% 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
Voya Financial, Inc. provides workplace benefits, and savings solutions and technologies in the United States and internationally. The company operates through three segments: Retirement, Investment Management and Employee Benefits. The Retirement segment offers full-service retirement products; recordkeeping services; stable value and fixed general account investment products; non-qualified plan administration services; and tools, guidance, and services to promote the financial well-being and retirement security of employees. This segment also provides wealth management services, such as individual retirement, managed, and brokerage accounts, as well as financial guidance and advisory services. This segment serves corporate, public and private school systems, higher education institutions, hospitals and healthcare facilities, other non-profit organizations, and state and local governments, as well as institutional clients and individual customers. The Employee Benefits segment offe…
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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.