Manulife Holdings (1058) Fair Value & Analysis
Financial Services · MY · Market cap 535M MYR
Fair value as of: Jun 26, 2026
Analysis
Manulife Holdings (1058) currently trades at 2.36 MYR, while our model-based Fair Value estimate is 4.72 MYR — implying the stock looks roughly 100.0% 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
Manulife Holdings Berhad, an investment holding company, underwrites participating and non-participating life insurance and unit-linked products in Malaysia. The company operates through Investment Holding; Life Insurance; and Asset Management Services segments. It offers various insurance products and services, such as life, health, savings and retirement, and investment linked plan; life insurance broking services; SME business solutions; and bancassurance products, private retirement schemes, and unit trust funds. The company also provides investment, and fund management services, as well as property rental and management services; and invests in money market funds, and corporate and sovereign bonds, as well as rents and manages property. The company was formerly known as Manulife Insurance (Malaysia) Berhad and changed its name to Manulife Holdings Berhad in October 2008. The company was founded in 1963 and is headquartered in Kuala Lumpur, Malaysia. Manulife Holdings Berhad is …
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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.