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InnoCare Pharma Limited (688428) Fair Value & Analysis

Healthcare · CN · Market cap 41.3B CNY

Price¥23.99
Fair Value¥9.58
Upside-60.1%
Quality95/100
Evidence: High Range ¥6.15 – ¥11.85

Analysis

InnoCare Pharma Limited (688428) currently trades at ¥23.99, while our model-based Fair Value estimate is ¥9.58 — implying the stock looks roughly 60.1% overvalued today. We read business quality at 95/100 (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

InnoCare Pharma Limited, a biopharmaceutical company, engages in discovering, developing, and commercializing drugs for the treatment of cancer and autoimmune diseases in China. The company develops Orelabrutinib, an BTK inhibitor to treat patients with relapsed and/or refractory (r/r) chronic lymphocytic leukemia, r/r mantle cell lymphoma, r/r Waldenstrom's macroglobulinemia, r/r marginal zone lymphoma, r/r diffuse large B-cell lymphoma (DLBCL)- MCD, r/r central nervous system lymphoma, combo w/MIL-62, systemic lupus erythematosus, immune thrombocytopenia purpura, multiple sclerosis, and neuromyelitis optica spectrum disorder. It also developing ICP-B02 to treat CD20+B-cell malignancies; ICP-B05 to treat hemato-oncology; ICP-248 to treat chronic lymphocytic leukemia; ICP-332 to treat atopic dermatitis; ICP-488 to treat psoriasis; ICP-538 to treat autoimmune diseases; zurletrectinib (ICP-723) to treat neurotrophic tyrosine receptor kinase fusion positive cancers; ICP-189 to treat no…

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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.