Avalue Technology Incorporation (3479) Fair Value & Analysis
Technology · TW · Market cap 9.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Avalue Technology Incorporation (3479) currently trades at 133.00 TWD, while our model-based Fair Value estimate is 128.96 TWD — implying the stock looks roughly 3.0% overvalued today. We read business quality at 84/100 (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: medium).
About the company
Avalue Technology Incorporation engages in the production, processing, and sale of industrial computers in Taiwan, the Americas, Europe, Asia, and internationally. It operates through embedded computer and industrial computer segments. The company offers industrial computers and integrated peripherals such as industrial and embedded motherboards; computer-on-module products for critical or industrial applications; computing solutions for mission-critical applications; panel PCs/monitor/mobile, including industrial, medical, and open frame panel PCs, as well as industrial displays, android multi-touch panel PCs, POS terminal, audio and video extenders, peripherals and accessories, panel kits, and ARM-based panel PCs; and medical display, tablet, box PC, panel PC, and cart/stand/arm/battery. It also provides public display, eNote, and outdoor display solutions; server board and rackmount and tower workstations; edge AI, GPU expansion, NVIDIA, high performance computing, and AI solutio…
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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.