TRACON Pharmaceuticals, Inc (TCON) Fair Value & Analysis
Healthcare · US · Market cap $110K
Fair value as of: Jun 24, 2026
Analysis
TRACON Pharmaceuticals, Inc (TCON) currently trades at $17.41, while our model-based Fair Value estimate is $24.99 — implying the stock looks roughly 43.5% undervalued today. We read business quality at 89/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
TRACON Pharmaceuticals, Inc., a biopharmaceutical company, focuses on the development and commercialization of novel targeted therapeutics for cancer in the United States. Its clinical stage products include envafolimab (KN035), a PD-L1 single-domain antibody for the treatment of refractory soft tissue sarcoma; and YH001, an investigational humanized cytotoxic T-lymphocyte-associated protein 4 IgG1 monoclonal antibody that is in Phase I clinical trial for the treatment of various cancer indications. The company's clinical stage products also include TRC102, a small molecule that is in Phase II clinical trial for the treatment of mesothelioma, and in Phase I clinical trial to treat solid tumors, lung cancer, and glioblastoma; and TJ004309, a CD73 antibody that is in Phase I clinical development for the treatment of solid tumors. In addition, it is developing bispecific antibodies, which are in preclinical stage. It has collaboration and license agreements with 3D Medicines Co., Ltd. …
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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.