Winmate Inc (3416) Fair Value & Analysis
Technology · TW · Market cap 14.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Winmate Inc (3416) currently trades at 171.00 TWD, while our model-based Fair Value estimate is 132.40 TWD — implying the stock looks roughly 22.6% 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
Winmate Inc. engages in the research and development, manufacture, and sales of rugged display equipment and rugged mobile computer in Europe, Asia, the United States, and internationally. The company offers computing artificial intelligence mobile computer, rugged touch laptop and handheld mobile computer, windows and android rugged tablet, and radio gateway; car tablet, windows, and car android computer. It also offers multi-touch, open architecture, chassis type, panel mounting, PoE touch, USB, stainless steel display, outdoor display, rear installation, industrial explosion-proof, rack mount, long industrial display related products. In addition, the company provides explosion-proof, digital electronic signage, industrial computers, and human-machine interfaces products; waterproof rugged computer, and embedded solutions; medical grade rugged tablet, industrial computer, and display; marine grade industrial computer, ship grade display, and marine grade embedded computer; rugged…
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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.