Alexander Forbes Group (AFH) Fair Value & Analysis
Financial Services · ZA · Market cap 10.2B ZAC
Fair value as of: Jun 26, 2026
Analysis
Alexander Forbes Group (AFH) currently trades at 7.43 ZAC, while our model-based Fair Value estimate is 4.35 ZAC — implying the stock looks roughly 41.5% 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
Alexander Forbes Group Holdings Limited, a financial services company, provides employee benefits, retirement and healthcare consulting, investment, and wealth management solutions to corporate clients and individuals in South Africa, Namibia, Botswana, Jersey, the Channel Islands, and Nigeria. It offers solutions for individuals, including preservation funds, local and global unit trusts, tax-free saving accounts, wills and estates planning, investment planning, retirement navigators, and living and living and retirement annuities, as well as healthcare broking and management solutions. The company also provides solutions for businesses, such as retirement consulting services; platform, investment consulting, and multi-management services; healthcare consulting, group risk, and administration services; umbrella and beneficiary funds; and employee benefit systems. In addition, it offers financial advisory and broking services. The company was formerly known as Alexander Forbes Equit…
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Frequently asked questions
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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.