Great Chinasoft Technology Co (002453) Fair Value & Analysis
Basic Materials · CN · Market cap 4.3B CNY
Analysis
Great Chinasoft Technology Co (002453) currently trades at ¥4.92, while our model-based Fair Value estimate is ¥2.90 — implying the stock looks roughly 41.1% 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: low).
About the company
Great Chinasoft Technology Co.,Ltd. operates as a chemical company in China and internationally. The company offers fine chemicals comprising paper chemicals AKD, ASA, fluorescent brightener, electronic chemicals, and other chemicals; pharmaceutical/pesticide intermediates consisting of chloroformates, acyl chloride, cyanoacetamide, and malonitrile; and food additives used in meat and seafood water, baking food distribution of bulk products, dairy products, and noodle products. It also provides health care products, such as amino acid products, American ginseng, protein powder, and vitamin supplements in the form of tablets, powders, oral liquids, ointments, and capsules; and protective equipment, such as disposable surgical masks, medical protective clothing, and disinfectants. In addition, the company is involved in production and sale of phosgene and other chemical products; import and export trade; business and management consulting; supply chain management; project investment, …
Open the full interactive analysis →
Similar stocks
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.