IQ Group (5107) Fair Value & Analysis
Industrials · MY · Market cap 37.0M MYR
Fair value as of: Jun 24, 2026
Analysis
IQ Group (5107) currently trades at 0.4200 MYR, while our model-based Fair Value estimate is 0.6000 MYR — implying the stock looks roughly 42.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
IQ Group Holdings Berhad, an investment holding company, engages in the design, manufacture, supply of lighting, security, and convenience products. It operates through Investment Holding, Manufacturing, and Trading segments. The company offers motion sensors, sensor lighting, wireless door entry products, doorbells, home security system, lighting fixtures, sensor product, wireless product, security product, and household electrical appliances. It also trades in motion sensors, sensor lighting, and wireless door entry products. In addition, the company engages in the design, manufacturing, sales of mould; providing corporate management services; research and development services and technology transfer services. Further, the company operates in Malaysia, Japan, the People's Republic of China, Europe countries, Asia countries, and North America countries. IQ Group Holdings Berhad was founded in 1989 and is headquartered in Bayan Lepas, 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.