Sino Biopharmaceutical Limited (SBMFF) Fair Value & Analysis
Healthcare · US · Market cap $13.9B
Analysis
Sino Biopharmaceutical Limited (SBMFF) currently trades at $0.6020, while our model-based Fair Value estimate is $0.4900 — implying the stock looks roughly 18.6% overvalued today. We read business quality at 80/100 (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
Sino Biopharmaceutical Limited, an investment holding company, operates as a research and development pharmaceutical conglomerate in the People's Republic of China. It operates through three segments: Modernised Chinese Medicines and Chemical Medicines, Investment, and Others. The company offers oncology medicines, including anlotinib hydrochloride capsules under Focus V brand, penpulimab injection under Annike brand, efbemalenograstin alfa injection under Yilishu brand, benmelstobart injection under Andewei brand, unecritinib fumarate capsules under Anboni brand, envonalkib citrate capsule under Anluoqing brand, garsorasib tablets under Anfangning brand, bevacizumab injection under Anbeisi brand, culmerciclib capsule under Saitanxin brand, zongertinib tablets under Hernexeos brand, rovadicitinib tablet under Anxu brand,rituximab injection under Delituo brand, trastuzumab for injection under Saituo brand, and pertuzumab injection, under Paletan brand; liver disease medications, such…
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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.