Sinochem International Corporation (600500) Fair Value & Analysis
Industrials · CN · Market cap 28.5B CNY
Analysis
Sinochem International Corporation (600500) currently trades at ¥8.76, while our model-based Fair Value estimate is ¥1.09 — implying the stock looks roughly 87.6% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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: medium).
About the company
Sinochem International Corporation engages in the intermediates, new materials, polymer additives, and natural rubber businesses worldwide. The company offers pesticide intermediates, electronic chemicals, and pharmaceutical intermediates; and ultraviolet absorbent, light stabilizers, polymerization inhibitors, and antioxidants. It also offers epoxy resin, including fibers, membrane, and lightweight materials. In addition, the company provides lithium batteries and materials. Further, it engages in the research, production, and sale of pharmaceuticals, healthcare, and medical device-related products, such as medical apparatus and instruments, nutritional ingredients, food additives, and medicine. Additionally, the company offers personal care products, flavors and fragrances, and oilseeds. The company was founded in 1998 and is headquartered in Shanghai, the People's Republic of China. Sinochem International Corporation is a subsidiary of Sinochem Corporation.
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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.