Voyager Therapeutics, Inc (VYGR) Fair Value & Analysis
Healthcare · US · Market cap $223M
Fair value as of: Jun 25, 2026
Analysis
Voyager Therapeutics, Inc (VYGR) currently trades at $3.68, while our model-based Fair Value estimate is $2.42 — implying the stock looks roughly 34.2% 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
Voyager Therapeutics, Inc., a biotechnology company, focuses on the human genetics for the cure of neurological diseases. Its product pipeline includes VY1706, a tau silencing gene therapy and VY7523, an anti-tau antibody program for the treatment of alzheimer's disease. The company also provides research program for the treatment of Huntington's disease. In addition, it offers TRACER, an adeno-associated virus (AAV) capsid discovery platform; ALPL-VYGR-NeuroShuttle, to target an undisclosed neurological disease; and develops selective small molecules for the treatment of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia with TDP-43 pathology. The company has collaboration and license agreements with Alexion; AstraZeneca Ireland Limited; Novartis Pharma AG; and Transition Bio, Inc. for the treatment of various other diseases of the central nervous system. Voyager Therapeutics, Inc. was incorporated in 2013 and is headquartered in Lexington, 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.