OCK Group (0172) Fair Value & Analysis
Communication Services · MY · Market cap 397M MYR
Fair value as of: Jun 24, 2026
Analysis
OCK Group (0172) currently trades at 0.3800 MYR, while our model-based Fair Value estimate is 0.4500 MYR — implying the stock looks roughly 18.4% undervalued today. We read business quality at 88/100 (high quality), in the Communication 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: medium) — always confirm before acting.
About the company
OCK Group Berhad, an investment holding company, provides telecommunications network services in Malaysia, Myanmar, Indonesia, Singapore, and Vietnam. It operates through five segments: Telecommunication Network Services, Green Energy Solutions, Power Solutions; Trading, and Investment Holding. The company offers telecommunication network services comprising network planning, design and optimization, network deployment, network operations and maintenance, infrastructure and energy management, and other professional services. It also trades in telecommunication hardware and equipment materials, such as antennas, feeder cables, and connectors; constructs and invests in solar farms; and designs, builds, supplies, installs, tests, consults, leases, and maintains power solution equipment, as well as provides mechanical and electrical engineering to housing development projects, commercial high-rise buildings, factories, infrastructures, airports, medical centres, and hotels. In addition,…
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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.