Everlight Chemical Industrial Corporation (1711) Fair Value & Analysis
Basic Materials · TW · Market cap 23.7B TWD
Analysis
Everlight Chemical Industrial Corporation (1711) currently trades at 47.70 TWD, while our model-based Fair Value estimate is 44.79 TWD — implying the stock looks roughly 6.1% 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: low).
About the company
Everlight Chemical Industrial Corporation engages in the sale of chemical products and related raw materials in Taiwan, China, rest of Asia, Europe, the United States, and internationally. The company manufactures dyes for textiles, leather products, inkjet inks, metallic and paper dyes, and other textile products; textile functional chemicals, digital textile inkjet inks, and solar-sensitized dyes; light stabilizers for weather-resistant coatings, plastics, and PU/TPU materials; and anti-yellowing agents and raw materials for sunscreen cosmetics. It also offers raw materials for prostaglandins, cardiovascular drugs, and Parkinson disease; manufactures photoresists, developers, polishing slurries, and other related products for the IC, LCD, LED, and TP industries, as well as functional surface nano coating; and toners and cartridges for laser printers, copiers, and fax machines. The company was incorporated in 1972 and is headquartered in Taipei, 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.