C4 Therapeutics, Inc (CCCC) Fair Value & Analysis
Healthcare · US · Market cap $440M
Fair value as of: Jun 25, 2026
Analysis
C4 Therapeutics, Inc (CCCC) currently trades at $4.25, while our model-based Fair Value estimate is $1.14 — implying the stock looks roughly 73.2% 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
C4 Therapeutics, Inc., a clinical-stage biopharmaceutical company, develops novel therapeutic candidates to degrade disease-causing proteins. Its lead product candidate is Cemsidomide, an orally bioavailable monodac targeting IKZF1 and IKZF3, or IKZF1/3 to address a need across multiple lines of therapy in multiple myeloma, which has competed its phase 1. The company is also developing oncology product candidate, CFT8919, an orally bioavailable, allosteric, mutant-selective bidac degrader of epidermal growth factor receptor, with an L858R mutation in non-small cell lung cancer; and new degraders focused on inflammation, neuroinflammation, and neurodegeneration. It has strategic collaborations F. Hoffmann-La Roche Ltd and Hoffmann-La Roche Inc., Betta Pharmaceuticals Co. Ltd., and Merck KGAA. Additionally, it has a collaboration agreement with Roche Holding AG for the development of Degrader-Antibody Conjugates for cancer treatment. The company was incorporated in 2015 and is headqua…
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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.