Evermore Chemical Industry Co (1735) Fair Value & Analysis
Basic Materials · TW · Market cap 2.3B TWD
Fair value as of: Jun 24, 2026
Analysis
Evermore Chemical Industry Co (1735) currently trades at 22.70 TWD, while our model-based Fair Value estimate is 13.28 TWD — implying the stock looks roughly 41.5% overvalued today. We read business quality at 95/100 (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
Evermore Chemical Industry Co., Ltd. manufactures and sells synthetic resins and chemical raw materials in China, Taiwan, and internationally. The company offers solvent based polyurethane resin, thermoplastic polyurethane, PU adhesives, aqueous based PU dispersion; polyurethane system polyester and polyether, polyurethane system-casting PU; polyisocyanates cross-linking agent hardner; polyester polyol; and UM/UO, consisting acrylate and methacrylate monomers, alipurethane acrylates, aromatic urethane AC, epoxy and polyester acrylate, and co initiator; as well as architectural coatings. It is also involved in the investment related business. The company serves various industries, such as footwear, synthetic leather, optical electronics, textiles, adhesives, coating, paints and ink, tube and hose, optical glass, etc. Evermore Chemical Industry Co., Ltd. was incorporated in 1989 and is based in Nantou City, Taiwan. Evermore Chemical Industry Co., Ltd. is a subsidiary of Aica Kogyo Com…
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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.