Eternal Materials Co (1717) Fair Value & Analysis
Basic Materials · TW · Market cap 82.5B TWD
Analysis
Eternal Materials Co (1717) currently trades at 73.90 TWD, while our model-based Fair Value estimate is 18.33 TWD — implying the stock looks roughly 75.2% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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
Eternal Materials Co., Ltd. manufactures and sells resin, high performance, electronic materials, and other related products. The company offers resin materials, including acrylic for adhesives and overprinting, polyester polyol, polyurethane, optoelectronic materials, alkyd, solvent-based acrylic coating, water-based acrylic coating, amino, fluorocarbon, polyester, other coatings, unsaturated polyester, vinyl ester, fire retardant, epoxy system, structural adhesive, and polyester for polyurethane foam. It also provides UV monomers, oligomers, special coatings, silicone powder, additives, and 3D printing material; and electronic materials, comprising printed circuit board material-dry film photoresist, material-dry film solder mask, material-UV ink, material-dry film photosensitive polyimide, material-paper phenolic copper clad and material-composite epoxy copper clad laminate, flat panel display and touch panel material-dry film photoresist, flat panel display and touch panel mater…
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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.