Pentamaster Corporation (7160) Fair Value & Analysis
Industrials · MY · Market cap 2.9B MYR
Analysis
Pentamaster Corporation (7160) currently trades at 4.78 MYR, while our model-based Fair Value estimate is 1.83 MYR — implying the stock looks roughly 61.7% overvalued today. We read business quality at 80/100 (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
Pentamaster Corporation Berhad, an investment holding company, provides automation manufacturing and technology solutions. It operates in three segments: Automated Test Equipment, Factory Automation Solutions, and Smart Control Solution System. The company offers standard and non-standard automated equipment; integrated automated manufacturing solutions; and property project management, smart building solutions, and trading of materials. It also provides smart control solution systems; testing solution services; computerised automation systems and equipment; manufacture and repair of semiconductor assembly and testing equipment; designs and manufactures automated testing equipment, test and measurement systems, and high-precision machine parts, and provides equipment design and manufacturing services; and single-use medical devices, medical equipment, and related instruments. In addition, the company offers technical services, development, consulting, and other businesses; factory a…
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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.