BenQ Materials Corporation (8215) Fair Value & Analysis
Technology · TW · Market cap 9.2B TWD
Fair value as of: Jun 24, 2026
Analysis
BenQ Materials Corporation (8215) currently trades at 30.25 TWD, while our model-based Fair Value estimate is 48.00 TWD — implying the stock looks roughly 58.7% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.
About the company
BenQ Materials Corporation manufactures and sells film sheet products and medical equipment in China, Taiwan, Japan, the United States, and internationally. The company engages in the research and development, manufacturing, and sales of various electronic chemical membrane products. It also offers display tech and materials, including polarizer and optical films, touch panels materials, ultra-precision machining products, PDLS smart film displays, and industrial tapes. In addition, the company provides advanced battery materials that includes separator; healthcare products comprising vision care, skin care series, wound management, and medical sterilization packaging; textile products, such as water-proof breathable textiles; and customized materials comprising reactive silicone. The company was formerly known as Daxon Technology Inc. and changed its name to BenQ Materials Corporation in June 2010. BenQ Materials Corporation was incorporated in 1998 and is headquartered in Taoyuan …
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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.