San Fu Chemical Co (4755) Fair Value & Analysis
Basic Materials · TW · Market cap 14.1B TWD
Fair value as of: Jun 24, 2026
Analysis
San Fu Chemical Co (4755) currently trades at 141.50 TWD, while our model-based Fair Value estimate is 62.85 TWD — implying the stock looks roughly 55.6% overvalued today. We read business quality at 93/100 (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
San Fu Chemical Co., Ltd. manufactures and sells various chemical products in Taiwan. It operates through the Fine Chemicals and Basic Chemicals segments. The company manufactures, processes, sells, and trades in chemical cleaning and etching agents, and food additives. It also offers fine chemical products, such as developer, etchant, stripper, thinner and EBR, RGB network, POC13, N20, and others, as well as basic chemicals, including raw material of liquid crystal polymers, preservatives, water treatment and anti-corrosive reagents, and chemical raw materials. In addition, the company offers food raw materials and additives, such as seasonings, preservatives, sweeteners, leavening agents, and starch and carbohydrate, as well as food quality improvement, fermentation, and food processing agents; and slurry. Further, it engages in recycling of tetramethyl ammonium hydroxdie waste. Its products are used in wet chemicals, equipment, operation required by IC semiconductors, LCD, touch …
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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.