Oriental Union Chemical Corporation (1710) Fair Value & Analysis
Basic Materials · TW · Market cap 11.9B TWD
Fair value as of: Jun 25, 2026
Analysis
Oriental Union Chemical Corporation (1710) currently trades at 13.80 TWD, while our model-based Fair Value estimate is 3.14 TWD — implying the stock looks roughly 77.2% overvalued today. We read business quality at 85/100 (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: low).
About the company
Oriental Union Chemical Corporation produces and sells ethylene oxide, ethylene glycol, and other related chemical products primarily in Taiwan and internationally. The company offers MEG for use in polyester fiber, antifreeze, dehumidifier, engineering plastics, PET bottles, and brake fluids; DEG for use in dehumidifiers, lubricants, dye levelers, solvents, grinding aids, and unsaturated and polyol raw materials; and ethylene oxide (EO) for use in raw materials for ethylene glycol, glycol ether, ethanol ether, non-ionic surfactants, and disinfectants. It also provides various gases, such as oxygen for use in petrochemical industry, pure oxygen combustion, metal cutting, wastewater treatment, incinerators, hospitals, and fisheries; nitrogen for use in oil refining industry, electronics and semiconductors, plastics, food freezing and packaging, chemical industry, metal heat treatment, etc.; argon for welding, solar energy, electronics and semiconductors, metal manufacturing, etc. app…
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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.