De Licacy Industrial Co (1464) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 4.4B TWD
Fair value as of: Jun 24, 2026
Analysis
De Licacy Industrial Co (1464) currently trades at 10.15 TWD, while our model-based Fair Value estimate is 7.80 TWD — implying the stock looks roughly 23.2% overvalued today. We read business quality at 84/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
De Licacy Industrial Co., Ltd. engages in the research and development, manufacture, and sale of fabrics in Taiwan. It offers P/D and Y/D functional fabrics; and coating, lamination, and bonding fabrics. The company also provides performance and protect fabrics, such as AERO-TECH, easy move, mechanical stretch, wicking, 3D double weaving, high density, feather weight, water repellent, antu-UV, 2 layer lamination, 3 layer soft shell, 2 layer bonding, and functional coating fabrics; and eco green fabrics, including recycled polyester, organic cotton, PFC-free W/R, and DL cool fabrics. In addition, it offers casual and fashion fabrics comprising synthetic yarn dyed, seersucker, dobby design, silky drape, satin, denim look, and beachwear fabrics; and interiors textiles consisting of dense felt like, metallic luster, mat weaving, suede-like, and water and oil repellent/soil release fabrics. De Licacy Industrial Co., Ltd. was founded in 1982 and is headquartered in Tainan 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.