Sanlam Limited (SLMAF) Fair Value & Analysis
Financial Services · US · Market cap $6.8B
Analysis
Sanlam Limited (SLMAF) currently trades at $5.02, while our model-based Fair Value estimate is $5.96 — implying the stock looks roughly 18.7% 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
Sanlam Limited provides various financial services in South Africa, Pan-Africa, Asia, and internationally. The company operates through Sanlam Life and Savings; Pan-Africa; Asia; Sanlam Investments; and Santam segments. It offers life, disability, severe illness, income protection, funeral, credit life, health solutions, and cancer coverage; and corporate insurance solutions, including group risk, life, disability, severe and critical illness, and funeral insurance. The company also provides financial planning services; retirement solutions, such as saving for retirement, retirement preservation, retirement fund members, and two-pot retirement; investments for education planning, unit trusts, and tax-free savings; credit solutions, such as personal and home loans, online shopping credit, and same day express loan; and Sanlam reality programs. In addition, it offers consulting and advisory; health solutions comprising wellness, employee assistance programs, occupational health progra…
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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.