Adagene Inc (ADAG) Fair Value & Analysis
Healthcare · US · Market cap $241M
Fair value as of: Jun 24, 2026
Analysis
Adagene Inc (ADAG) currently trades at $3.98, while our model-based Fair Value estimate is $2.41 — implying the stock looks roughly 39.4% 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
Adagene Inc., a clinical stage biotechnology company, engages in the research, development, and production of monoclonal antibody drugs for cancers in the People's Republic of China. Its lead product candidate is the ADG126, a masked fully-human anti-CTLA-4 mAb which is in phase 1b/2 clinical development for the treatment of cancer. The company also develops ADG116, a fully human anti-CTLA-4 antibody generated using NEObody technology, which is in phase 1b/2 clinical trials to treat advanced/metastatic solid tumors; ADG206, which is in phase 1 clinical development to treat advanced metastatic solid tumors; ADG104, anti-PD-L1 monoclonal antibody which is in phase 2 clinical development; and ADG125, a novel anti-CSF-1R mAb which is in Phase 2 clinical development. In addition, it is developing ADG138, a HER2xCD3 POWERbody which is in pre clinical trial to treat low expressing tumors, as well as resistant/refractory tumors; ADG152, a CD20xCD3 POWERbody which is in preclincal trial to t…
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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.