Jiangsu SOPO Chemical Co (600746) Fair Value & Analysis
Basic Materials · CN · Market cap 7.3B CNY
Analysis
Jiangsu SOPO Chemical Co (600746) currently trades at ¥5.64, while our model-based Fair Value estimate is ¥1.50 — implying the stock looks roughly 73.4% 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
Jiangsu SOPO Chemical Co. Ltd., together with its subsidiaries, engages in the manufacture and sale of chemical products in China and internationally. The company offers glacial acetic acid and acetic acid, ethyl acetate, sulfuric acid, ADC foaming agent, chlor-alkali, chlorobenzene, fatty alcohols, and chloroacetic acid; industrial synthetic hydrochloric acid, industrial sodium hydroxide, p-dichlorobenzene, o-dichlorobenzene, and chlorobenzene; and downstream products, ion-exchange membranes, polyols, dichlorobenzene, and air separation products. It is also involved in the manufacture of special equipment for sulfuric acid production; provision of installation, maintenance, repair, and project construction services; technology development and application, project contracting and management, and chemical design and consulting businesses; and scientific and technological research and development activities. In addition, the company provides industrial software services, as well as in…
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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.