Rapport Therapeutics, Inc (RAPP) Fair Value & Analysis
Healthcare · US · Market cap $1.8B
Analysis
Rapport Therapeutics, Inc (RAPP) currently trades at $38.88, while our model-based Fair Value estimate is $45.60 — implying the stock looks roughly 17.3% undervalued today. We read business quality at 87/100 (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
Rapport Therapeutics, Inc., operates as a clinical-stage biopharmaceutical company that focuses on the discovery and development of transformational small molecule medicines for patients suffering from central nervous system (CNS) disorders. The company's lead product candidate is receptor associated protein (RAP)-219, an investigational small molecule that is designed to inhibit TARPy8-containing AMPARs with picomolar affinity for the treatment of focal epilepsy and other CNS disorders, including peripheral neuropathic pain and bipolar disorder. It also develops nicotinic acetylcholine receptor (nAChR) programs, such as a6 nAChR to treat chronic pain and migraine; and a9a10 nAChR for the treatment of hearing/vestibular disorders. The company was formerly known as Precision Neuroscience NewCo, Inc. and changed its name to Rapport Therapeutics, Inc. in October 2022. Rapport Therapeutics, Inc. was incorporated in 2022 and is headquartered in Boston, Massachusetts.
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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.