LBX Pharmacy Chain Joint Stock Company (603883) Fair Value & Analysis
Healthcare · CN · Market cap 9.2B CNY
Analysis
LBX Pharmacy Chain Joint Stock Company (603883) currently trades at ¥11.74, while our model-based Fair Value estimate is ¥10.57 — implying the stock looks roughly 10.0% overvalued today. We read business quality at 92/100 (high quality), in the Healthcare 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: high).
About the company
LBX Pharmacy Chain Joint Stock Company operates a chain of pharmacy stores in Mainland China. The company operates through three segments: Retail business, Wholesale business, and Other. It engages in commodity retail and wholesale business; and pharmaceutical manufacturing business and others, as well as sells drugs, and other health and beauty-related products through its marketing network. The company is also involved in wholesale and retail of pharmaceutical products; Chinese medicine research and development; E-commerce; food and department store retail; commodity wholesale; and retail of maternal and infant products. In addition, it provides business, information technology consulting, technical, pharmaceutical consulting, clinic, and medical services. The company was formerly known as Laobaixing Pharmacy Chain Joint Stock Company. LBX Pharmacy Chain Joint Stock Company was founded in 2001 and is headquartered 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.