Taiwan Thick-Film Ind. Corp (6246) Fair Value & Analysis
Technology · TW · Market cap 581M TWD
Fair value as of: Jun 24, 2026
Analysis
Taiwan Thick-Film Ind. Corp (6246) currently trades at 15.25 TWD, while our model-based Fair Value estimate is 19.44 TWD — implying the stock looks roughly 27.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Taiwan Thick-Film Ind. Corp engages in the manufacturing, processing, and trading of electronic components in Taiwan. The company offers backlight modules, such as desktop monitor and notebook backlight modules; LCD modules; bezels, light guide plates, and LED light bars for consumer electronics, industrial control, medical equipment, military-grade devices, and automotive product applications. It also provides automotive and new energy vehicle electronics; AI virtual customer service for real-time responses and intent recognition; digital human interaction applications; AI professional smart assistants; and reinforced plastic corrugated sheets for roof extensions, carports, covered walkways, industrial factories, logistics warehouses, coastal buildings, livestock barns, agricultural greenhouses, and other roofing applications. The company was founded in 1982 and is based 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.