GE-Shen Corporation (7197) Fair Value & Analysis
Industrials · MY · Market cap 611M MYR
Fair value as of: Jun 24, 2026
Analysis
GE-Shen Corporation (7197) currently trades at 1.44 MYR, while our model-based Fair Value estimate is 1.26 MYR — implying the stock looks roughly 12.5% overvalued today. We read business quality at 82/100 (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
GE-Shen Corporation Berhad, an investment holding company, manufactures and trades in plastic moulded products, components, tools and die, fabricated metal products, and other related products in Malaysia, Singapore, and Vietnam. The company is involved in injection moulding, supply chain and project management, engineering, machining, printing, coating and surface finishing, compression and rubber moulding, printed circuit board assembly activities; and wholesale trade of a variety of goods. It also offers assembly services for medical devices; and manufactures and trades in various rubber products. In addition, the company provides manufacturing services for product box built, tester and cable & wire harness assembly, repairing and consultancy services of electrical and electronic products, sourcing and supplying parts and spare parts and providing technical consultancy and design work; The company serves home and lifestyle; industrial; retail security; IOT/AI/data centers; medica…
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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.