Stoke Therapeutics, Inc (STOK) Fair Value & Analysis
Healthcare · US · Market cap $1.9B
Analysis
Stoke Therapeutics, Inc (STOK) currently trades at $31.11, while our model-based Fair Value estimate is $25.47 — implying the stock looks roughly 18.1% 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: medium).
About the company
Stoke Therapeutics, Inc. engages in the development of treatments for severe genetic diseases by upregulating protein expression. The company utilizes its proprietary Targeted Augmentation of Nuclear Gene Output (TANGO) approach in developing antisense oligonucleotides (ASOs) to selectively restore protein levels. Its lead product candidates include STK-002, which is in Phase 1 clinical trials for the treatment of autosomal dominant optic atrophy; and Zorevunersen (STK-001), an investigational new medicine for the treatment of Dravet syndrome is being evaluated in phase 3 clinical trials. The company also develops programs focused on various targets, including haploinsufficiency diseases of the central nervous system and eye. It has a license and collaboration with Biogen Inc. for the development and commercialization of zorevunersen medicine for the treatment of Dravet syndrome; and Acadia Pharmaceuticals Inc. for the discovery, development, and commercialization of novel RNA-based…
Open the full interactive analysis →
Similar stocks
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.