Silitech Technology Corporation (3311) Fair Value & Analysis
Technology · TW · Market cap 3.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Silitech Technology Corporation (3311) currently trades at 38.40 TWD, while our model-based Fair Value estimate is 20.47 TWD — implying the stock looks roughly 46.7% 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
Silitech Technology Corporation manufactures and sells modules and rubber products in Taiwan, China, Malaysia, the United States, Finland, Portugal, and internationally. It offers car interior decorative solutions, including silicone rubber switches, plastic and interior parts, electronic module assembly, capacitive touch sensing films, and thin/weight-less lighting modules; silicone, plastic, metal, electronics, mechanical, and glass composite materials; multi-color and textured straps; and curved cover glass for vehicles and in-vehicle infotainment system panels. The company is also involved in the manufacturing of plastic, computer peripheral, and telecommunications and communications equipment; manufacturing and sale of touch panels and rubber assembly; and investment activities. It serves automotive, wearable, 3C products, medical device, and smart home industries. The company was incorporated in 2001 and is headquartered in New Taipei City, 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.