QES Group (0196) Fair Value & Analysis
Technology · MY · Market cap 375M MYR
Fair value as of: Jun 24, 2026
Analysis
QES Group (0196) currently trades at 0.4850 MYR, while our model-based Fair Value estimate is 0.4400 MYR — implying the stock looks roughly 9.3% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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: high).
About the company
QES Group Berhad, an investment holding company, engages in the manufacture, distribution, and provision of engineering services for inspection, test, measuring, analytical, and automated handling equipment. It operates through Equipment, Materials and Engineering Solutions, and Manufacturing segments. The company offers analytical instruments; inspection, test, and measurement equipment; material and engineering solutions; production equipment; smart automation solutions; and semiconductor inspection and handling. It also provides vision software solutions for automated equipment, mechanical and electrical engineering consultancy service, trading and servicing of industrial parts, and equipment. In addition, the company markets and services scientific instruments; trades in and services industrial parts and equipment; and manufactures and trades in industrial equipment and systems, as well as engages in wholesale, technical testing, and analysis of machinery, equipment, and supplie…
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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.