Genius Electronic Optical Co (3406) Fair Value & Analysis
Technology · TW · Market cap 74.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Genius Electronic Optical Co (3406) currently trades at 733.00 TWD, while our model-based Fair Value estimate is 656.74 TWD — implying the stock looks roughly 10.4% overvalued today. We read business quality at 95/100 (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
Genius Electronic Optical Co.,Ltd., an investment holding company, engages in the manufacture, processing, and trade of optical instruments, molds, lighting equipment, and related spare parts in Taiwan and China. The company provides lenses, including medical, car, humanoid robot, industrial AI, and mobile lenses, as well as AR/VR optics. It also engages in lens MTF eccentricity adjustment, COMS image module focusing, image quality analysis and testing, and development of production equipment; design, processing, production, and sale of non-metallic products molds; production assembly; installation and maintenance of LED streetlights, LED lamps, and related products and parts; manufacture of optical electronic devices, other electronic devices, and plastic containers and products; and sale of mechanical parts and components, as well as import and export agent services. The company was incorporated in 1990 and is headquartered in Taichung, Taiwan.
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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.