0080 (0080) Fair Value & Analysis
Industrials · MY · Market cap 34.8M MYR
Fair value as of: Jun 26, 2026
Analysis
0080 (0080) currently trades at 0.0300 MYR, while our model-based Fair Value estimate is 0.0660 MYR — implying the stock looks roughly 120.0% 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: low) — always confirm before acting.
About the company
Straits Energy Resources Berhad, an investment holding company, provides oil trading and bunkering services in Malaysia. The company offers bunkering services that involves provision of marine fuels to ships and other ocean faring vessels, such as oil tankers, container vessels, cargo vessels, cruise ships and ferries; onshore bunkering comprises transferring of marine fuels on a shore-to-ship basis from an onshore facility; and offshore bunkering, which involves the transfer of marine fuels on a ship-to-ship basis. It also provides marine logistics, ship management, and shipping agency services; inland transportation and logistics services; port operation and management services; telecommunication and networking services; ship-to-ship operation. The company was formerly known as Straits Inter Logistics Berhad and changed its name to Straits Energy Resources Berhad in August 2021. Straits Energy Resources Berhad was incorporated in 1996 and is based in Kuala Lumpur, Malaysia.
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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.