Hunan Fangsheng Pharmaceutical Co (603998) Fair Value & Analysis
Healthcare · CN · Market cap 4.3B CNY
Analysis
Hunan Fangsheng Pharmaceutical Co (603998) currently trades at ¥9.22, while our model-based Fair Value estimate is ¥12.80 — implying the stock looks roughly 38.8% undervalued today. We read business quality at 91/100 (high quality), in the Healthcare 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: high) — always confirm before acting.
About the company
Hunan Fangsheng Pharmaceutical Co., Ltd. engages in research, develops, produces, and sells traditional Chinese medicine industry and chemical pharmaceutical products in China. The company offers pharmaceutical manufacturing; and provides cardiovascular and cerebrovascular drugs, skeletal muscle system drugs, orthopedic drugs, respiratory drugs, pediatric drugs, gynecological drugs, and anti-infective drugs. The company's main products include Xuesetong dispersible tablets, Xuesetong tablets, Garcinia bone-strengthening tablets, Dieda Huoxue capsules, Lysine Vitamin B12 granules, Cefuroxime tablets, Jinying capsules, Pudilan anti-inflammatory tablets, Xiaoer Jingxing cough granules, Ezetimibe tablets, Xuanqi bone-strengthening tablets, Qiangli Loquat Paste (honey-refined), and Qiangli Loquat Dew and others. It also offers other businesses, such as medical services, pharmaceutical commerce, and drug sales. The company was founded in 2002 and is based in Changsha, China.
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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.