Formosan Union Chemical Corp (1709) Fair Value & Analysis
Basic Materials · TW · Market cap 10.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Formosan Union Chemical Corp (1709) currently trades at 21.30 TWD, while our model-based Fair Value estimate is 17.74 TWD — implying the stock looks roughly 16.7% overvalued today. We read business quality at 92/100 (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
Formosan Union Chemical Corp. produces and sells chemical products in Taiwan, China, Guatemala, the Philippines, Vietnam, the United States, and internationally. The company offers alkyl benzene, which is used as a raw material for detergents; nonyl phenol that is used as a raw material for surfactants rubbers and plastic anti-oxidant agents, etc., as well as dodecyl phenol for lubricating oils.; and hydrogenated hydrocarbon resin, which is used as a raw material for the production of ethylene-vinyl acetate polymer EVA and thermal plastic rubber TPR series hot melt adhesives. It also trades in residential and commercial property and electronic materials, as well as engages in the solar photovoltaic system construction, maintenance, and operation; land development; and agency business of Huawei products; development of an online booking platform; and hotel operation. In addition, the company is involved in the manufacturing, processing, and trading of petroleum resins, polyester resi…
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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.