CNO Financial Group (CNO) Fair Value & Analysis
Financial Services · US · Market cap $4.4B
Analysis
CNO Financial Group (CNO) currently trades at $52.14, while our model-based Fair Value estimate is $31.93 — implying the stock looks roughly 38.8% 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
CNO Financial Group, Inc., through its subsidiaries, develops, markets, and administers health insurance, annuity, individual life insurance and other insurance products, and financial services for middle-income pre-retiree and retired Americans in the United States. It offers Medicare supplement, supplemental health, and long-term care insurance policies; life insurance; and annuities, as well as Medicare advantage plans to individual consumers through phone, virtually, online, and face-to-face with agents. The company also focuses on sale of voluntary benefit life and health insurance products for businesses, associations, and other membership groups by interacting with customers at their place of employment. In addition, it provides fixed indexed annuities; fixed interest annuities, including fixed rate single-premium deferred annuities; flexible premium deferred annuities; single premium immediate annuities; supplemental health products, such as specified disease, accident, and …
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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.