IDEAYA Biosciences, Inc (IDYA) Fair Value & Analysis
Healthcare · US · Market cap $2.4B
Analysis
IDEAYA Biosciences, Inc (IDYA) currently trades at $34.91, while our model-based Fair Value estimate is $52.39 — implying the stock looks roughly 50.1% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.
About the company
IDEAYA Biosciences, Inc., a precision medicine oncology company, develops targeted therapeutics for patient populations selected using molecular diagnostics in the United States. The company offers Darovasertib, an oral, potent, and selective protein kinase, C (PKC) inhibitor for the treatment of uveal melanoma, ocular cancer, and is being evaluated in multiple clinical trials as monotherapy and in combination with crizotinib for metastatic, neoadjuvant, and adjuvant settings. The company also offers IDE849, a DLL3 antibody drug conjugate inhibitor for the treatment of SCLC and neuroendocrine carcinomas; IDE034, a B7H3/PTK7 topo-I-payload bispecific BsADC; IDE161, a poly ADP-ribose glycohydrolase inhibitor; IDE705 (GSK101), a Poly Theta Helicase inhibitor that is in Phase 1 clinical trial for the treatment of tumors with BRCA or other mutations associated with HRD; IDE397, a MAT2A inhibitor for MTAP-deleted tumors; IDE892, a PRMT5 inhibitor; IDE574 selectively inhibits KAT6/7 and is…
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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.