Swiss Life Holding (SWSDF) Fair Value & Analysis
Financial Services · US · Market cap $30.2B
Fair value as of: Jun 25, 2026
Analysis
Swiss Life Holding (SWSDF) currently trades at $1,079, while our model-based Fair Value estimate is $705.85 — implying the stock looks roughly 34.6% overvalued today. We read business quality at 94/100 (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
Swiss Life Holding AG provides life, pensions, and financial solutions for private and corporate clients. It operates through Switzerland, France, Germany, International, Asset Managers, and Other segments. The company offers a various life, pension, health, annuity, and investment-type policies to groups and individuals, as well as disability coverage. It also provides property and casualty, liability and motor, accident, health, and payment protection insurance products. In addition, the company manages assets and provides advisory services. Further, it engages in the private equity, information technology, real estate, finance, banking, reinsurance, brokering, and investment funds businesses. Additionally, the company distributes its products through its sales force and distribution partners. It provides its products under the Swiss Life Select, Tecis, Horbach, Proventus, and Chase de Vere brands. The company also operates in the United Kingdom and Luxembourg. Swiss Life Holding …
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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.