AVer Information Inc (3669) Fair Value & Analysis
Technology · TW · Market cap 3.3B TWD
Fair value as of: Jun 24, 2026
Analysis
AVer Information Inc (3669) currently trades at 35.10 TWD, while our model-based Fair Value estimate is 24.55 TWD — implying the stock looks roughly 30.1% 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
AVer Information Inc. engages in the research and development, manufacture, developing, and sale of computer system equipment and presentation and video conferencing system solutions in the United States, Asia, Europe, and internationally. The company provides auto tracking cameras, PTZ cameras, NDI cameras, Dante, matrix tracking boxes, BYOM matrix switcher, and accessories; USB, flexible and mechanical arms, wireless, and all-in-one visualizers; medical grades and accessories cameras; charge and sync carts; interactive control box, streaming audio systems, and software add-ons; and on-premise video conferencing, such as multipoint and endpoint systems. It offers video conferencing software add-ons; and distance learning cameras. In addition, the company provides visual presentation, classroom technology, business communication, teams and zoom rooms, and connected health solutions. Further, it provides professional audio and video solutions for medical professional, educators, broa…
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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.