Guizhou Chitianhua Co (600227) Fair Value & Analysis
Basic Materials · CN · Market cap 4.8B CNY
Analysis
Guizhou Chitianhua Co (600227) currently trades at ¥2.74, while our model-based Fair Value estimate is ¥1.39 — implying the stock looks roughly 49.3% 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: medium).
About the company
Guizhou Chitianhua Co.,Ltd. engages in the chemical and pharmaceutical businesses in China. The company offers urea fertilizers; synthetic ammonia and ammonium sulfate; and sulfuric acid, industrial nitrogen, industrial ammonia, and industrial hydrogen, as well as basic chemical products and their deep-processed and by-products. It also produces and sells pharmaceuticals; medical equipment; and drugs for diabetes, cardiovascular, dermatology, gynecological, digestive system, endocrine, and psychotropic diseases. In addition, the company engages in the production of Chinese and western patent medicines; class II clinical laboratory analysis instruments; and sanitary products, as well as sales of self-produced products. Further, it is involved in the manufacture and sales of special and daily chemical products; provision of technical development, consultation, exchanges, and services; technology transfer and promotion; coal washing; sales of coal products; import and export of technol…
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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.