Arka Berhad (7218) Fair Value & Analysis
Industrials · MY · Market cap 24.1M MYR
Fair value as of: Jun 24, 2026
Analysis
Arka Berhad (7218) currently trades at 0.3700 MYR, while our model-based Fair Value estimate is 0.2200 MYR — implying the stock looks roughly 40.5% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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: medium).
About the company
Arka Berhad provides logistics services in Malaysia and Singapore. It operates through Logistics Solutions, Tyre Products, Technology Division segments. The company offers trucking, container haulage, depot operations, warehousing, freight forwarding, and customs brokerage, as well as operates warehousing facilities and container depot to support the logistics operation; and foot and feeder trucks. It also offers heavy lifting, cargo consolidation, repacking, palletising, loading/unloading, and customs permit preparation; bonded and non-bonded storage solutions; storage, handling, labeling, cross-docking, and distribution activities; haulage services; and involved in tyre re-treading and sells new tyres for commercial vehicles. In addition, the company provides information technology and software development services. The company was formerly known as Transocean Holdings Bhd. and changed its name to Arka Berhad in April 2024. Arka Berhad was incorporated in 1977 and is based in Sebe…
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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.