Shenyang Chemical Co (000698) Fair Value & Analysis
Basic Materials · CN · Market cap 2.7B CNY
Fair value as of: Jun 25, 2026
Analysis
Shenyang Chemical Co (000698) currently trades at ¥3.10, while our model-based Fair Value estimate is ¥3.38 — implying the stock looks roughly 9.0% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Shenyang Chemical Co., Ltd provides chlor-alkali chemicals, deep oil processing and new chemical materials in China and internationally. The company offers chlorine and alkali chemicals, including diaphragm and membrane process sodium hydroxide, sodium hypochlorite, industrial liquid chlorine, and industrial synthetic hydrochloric acid. It also provides petrochemical products, such as liquefied petroleum gas, toluene, mixed C4, mixed benzol, industrial propylene, industrial 1-butylene, benzene, and heavy liquid paraffin. In addition, the company offers various chemical materials comprising paste polyvinyl chloride resin, vinyl chloride-vinyl acetate copolymer paste resin, polyether, propylene oxide, methyl tertiary butyl ether, polyethylene resin, acrylic acid and ester, and fumed silica. Its products are used in the chemical sectors of metallurgy, light industry, textiles, medical care, cars and electronics industry, agriculture, construction, and other fields. Shenyang Chemical 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.