FM Global Logistics Holdings (7210) Fair Value & Analysis
Industrials · MY · Market cap 327M MYR
Fair value as of: Jun 25, 2026
Analysis
FM Global Logistics Holdings (7210) currently trades at 0.5800 MYR, while our model-based Fair Value estimate is 1.17 MYR — implying the stock looks roughly 101.7% undervalued today. We read business quality at 92/100 (high quality), in the Industrials 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
FM Global Logistics Holdings Berhad, together with its subsidiaries, provides multi-modal freight services in Malaysia, Australia, Indonesia, Thailand, Vietnam, India, Singapore, the United States, the Philippines, and China. The company offers sea freight services, including import and export services for less than container load and full container load shipments; air freight inbound and outbound services; and road freight services, such container haulage, conventional trucking, and cross-border trucking solutions. It also provides customs brokerage and clearance; 3PL services comprising customized warehousing, temperature-controlled and cold-chain facilities, bonded and non-bonded storage options, and covered and mechanized loading bays, as well as 24/7 security, CCTV, and in-rack sprinklers for fire control; e-fulfilment solutions; specialized logistics services for non-standard goods, which include dangerous goods, fragile items, and sensitive or high-value shipments; business-t…
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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.