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CSPHF (CSPHF) Fair Value & Analysis

Healthcare · US · Market cap $951M

Price$0.5950
Fair Value$0.2600
Upside-56.3%
Quality95/100
Evidence: Low Range $0.1900 – $0.3200

Analysis

CSPHF (CSPHF) currently trades at $0.5950, while our model-based Fair Value estimate is $0.2600 — implying the stock looks roughly 56.3% 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: low).

About the company

CStone Pharmaceuticals, a biopharmaceutical company, researches and develops anti-cancer therapies to address the unmet medical needs of cancer patients in Mainland China and internationally. The company offers CEJEMLY (sugemalimab), a monoclonal antibody against programmed death (PD) ligand 1 for the treatment of non-small cell lung cancer (NSCLC), gastric adenocarcinoma/gastroesophageal junction adenocarcinoma, esophageal squamous cell carcinoma, and relapsed or refractory natural killer/T cell lymphoma; GAVRETO (pralsetinib), a RET inhibitor to treat patients with advanced or metastatic RET-mutant medullary and RET fusion-positive thyroid cancers, as well as NSCLC and multiple tumors; and AYVAKIT (avapritinib), a KIT/PDGFRA inhibitor, has been approved by the China NMPA for the treatment of adults with unresectable or metastatic GIST harboring a PDGFRA exon 18 mutation, including PDGFRA D842V mutations. It has strategic partnerships with Pfizer, Sanofi, Hengrui, 3SBio Inc., Allis…

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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.