Swiss Re AG (SSREY) Fair Value & Analysis
Financial Services · US · Market cap $45.4B
Analysis
Swiss Re AG (SSREY) currently trades at $38.99, while our model-based Fair Value estimate is $52.50 — implying the stock looks roughly 34.6% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Swiss Re AG, together with its subsidiaries, provides reinsurance, insurance, other insurance-based forms of risk transfer, and other insurance-related services worldwide. The company operates through Property & Casualty Reinsurance, Life & Health Reinsurance, and Corporate Solutions segments. The Property & Casualty Reinsurance segment underwrites property reinsurance, including property, credit, surety and political, engineering and project, aviation, marine, agriculture, renewable energy, retakaful, and facultative reinsurance solutions; and casualty reinsurance, such as liability, motor, worker's compensation, personal accident, management and professional liability, cyber, and facultative reinsurance solutions. Its Life & Health Reinsurance segment underwrites life and health insurance products. The Corporate Solutions segment offers standard risk transfer covers and multi-line programs to customized solutions. It serves stock and mutual insurance companies, public sector and g…
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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.