Crinetics Pharmaceuticals, Inc (CRNX) Fair Value & Analysis
Healthcare · US · Market cap $3.4B
Analysis
Crinetics Pharmaceuticals, Inc (CRNX) currently trades at $35.91, while our model-based Fair Value estimate is $42.34 — implying the stock looks roughly 17.9% 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
Crinetics Pharmaceuticals, Inc., a clinical-stage pharmaceutical company, focuses on the discovery, development, and commercialization of novel therapeutics for rare endocrine diseases and endocrine-related tumors. The company's lead product candidate is Paltusotine, an oral selective nonpeptide somatostatin receptor type 2 agonist, which is in a Phase 3 clinical trial for the treatment of acromegaly and carcinoid syndrome associated with neuroendocrine tumors. It is also developing Atumelnant, an investigational oral nonpeptide product candidate to antagonize the adrenocorticotrophic hormone (ACTH) receptor that has completed a Phase 1 study for the treatment of diseases caused by excess ACTH, including congenital adrenal hyperplasia and cushing's disease; and CRN09682, a nonpeptide drug conjugate for SST2 positive solid tumors. In addition, the company is developing antagonists of the parathyroid hormone (PTH) receptor for the treatment of primary hyperparathyroidism and humoral h…
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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.