Tri-Mode System (M) Berhad (0199) Fair Value & Analysis
Industrials · MY · Market cap 26.6M MYR
Fair value as of: Jun 26, 2026
Analysis
Tri-Mode System (M) Berhad (0199) currently trades at 0.1550 MYR, while our model-based Fair Value estimate is 0.1800 MYR — implying the stock looks roughly 16.1% undervalued today. We read business quality at 95/100 (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: medium) — always confirm before acting.
About the company
Tri-Mode System (M) Berhad provides integrated logistics services in Malaysia and internationally. The company operates through Sea Freight; Container Haulage; Air Freight; Freights Forwarding; Warehousing; and Marine Insurance segments. It offers sea freight, container haulage, air freight, customs brokerage, project shipment, container depot operator, land transportation, fumigation, documents legalization, e-commerce logistics, and value-added services. The company also provides freight forwarding, warehousing, and marine insurance; and operates as a freight forwarder and general insurance corporate agent. It serves multinational companies; and importers and exporters from various industries, such as textiles, insulation materials, paper products, gloves, building materials, plastic products, automotive parts, packaging materials, rubber products, furniture, home and electronic appliances, chemical products, and edible oils. Tri-Mode System (M) Berhad was incorporated in 1991 and…
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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.