Myriad Genetics, Inc (MYGN) Fair Value & Analysis
Healthcare · US · Market cap $429M
Fair value as of: Jun 25, 2026
Analysis
Myriad Genetics, Inc (MYGN) currently trades at $5.22, while our model-based Fair Value estimate is $5.21 — implying the stock looks roughly 0.2% 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
Myriad Genetics, Inc., a molecular diagnostics and precision medicine company, develops molecular tests. The company offers molecular diagnostic tests for oncology, women's health, and pharmacogenomics. It also provides MyRisk Hereditary Cancer test, a DNA sequencing test for hereditary cancers; BRACAnalysis CDx Germline Companion Diagnostic test, a DNA sequencing test for metastatic breast, ovarian, metastatic pancreatic, and metastatic prostate cancer with deleterious or suspected deleterious germline BRCA variants; and MyChoice CDx Companion Diagnostic test, a tumor test that determines homologous recombination deficiency status in patients with ovarian cancer. In addition, the company offers Prolaris Prostate Cancer Prognostic test, an RNA expression tumor analysis for assessing the aggressiveness of prostate cancer; EndoPredict Breast Cancer Prognostic test, an RNA expression test for assessing the aggressiveness of breast cancer; Precise Tumor Molecular Profile test, a genomic…
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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.