Wanbangde Pharmaceutical Holding (002082) Fair Value & Analysis
Healthcare · CN · Market cap 8.0B CNY
Fair value as of: Jun 25, 2026
Analysis
Wanbangde Pharmaceutical Holding (002082) currently trades at ¥12.97, while our model-based Fair Value estimate is ¥12.34 — implying the stock looks roughly 4.9% 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: medium).
About the company
Wanbangde Pharmaceutical Holding Group Co., Ltd. engages in the research and development, production, and sale of traditional Chinese medicine, chemical raw materials, and chemical preparations in China and internationally. The company operates through two segments, the Pharmaceutical Business and the Medical Device Business. It offers drugs products used to treat cardiovascular and cerebrovascular diseases; and nervous, respiratory, mental, and digestive system diseases. The company also develops and sells orthopedic implant devices, including orthopedic implant devices comprised of thoracolumbar fusion, cervical fusion, spinal internal fixation systems, independent fusion devices, unicompartmental knee joints, etc.; medical equipment; disposable sterile medical polymer consumables; and hospital engineering services. The company was formerly known as Wanbangde New Building Materials Co., Ltd. and changed its name to Wanbangde Pharmaceutical Holding Group Co., Ltd. in April 2020. Wa…
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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.