ApicHope Pharmaceutical Group (300723) Fair Value & Analysis
Healthcare · CN · Market cap 15.0B CNY
Fair value as of: Jun 24, 2026
Analysis
ApicHope Pharmaceutical Group (300723) currently trades at ¥33.12, while our model-based Fair Value estimate is ¥13.64 — implying the stock looks roughly 58.8% overvalued today. We read business quality at 94/100 (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: low).
About the company
ApicHope Pharmaceutical Group Co., Ltd. engages in the research, development, production, and sale of pharmaceutical drugs in China. The company offers pediatric medicines, such as fuganlin and yiqi jianpi oral liquids, carboxymestrine oral solutions, and xiao'er kechuanling oral liquid products; and clindamycin palmitate hydrochloride dispersible tablets, acetylkitasamycin for suspension, qinxiangqingjie oral liquids, epinastine hydrochloride granules, clindamycin palmitate hydrochloride granules, clindamyxin hydrochloride for injection, clindamycin phosphate injection, ambroxol hydrochloride drops, montelukast sodium oral granules, oseltamivir phosphate capsules, and levocetirizine dihydrochloride oral drops. It also provides chronic disease drugs, including aciclovir for injection, hepatocyte growth-promoting factor for injection, pentoxifylline injection, kangshen and niaoqingshu granules, shenbo lotion, compound monoammonium glycyrrhizinate s and lansoprazole for injection, ome…
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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.