Inhibikase Therapeutics, Inc (IKT) Fair Value & Analysis
Healthcare · US · Market cap $242M
Fair value as of: Jun 25, 2026
Analysis
Inhibikase Therapeutics, Inc (IKT) currently trades at $1.87, while our model-based Fair Value estimate is $1.30 — implying the stock looks roughly 30.5% 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
Inhibikase Therapeutics, Inc. operates as a clinical-stage pharmaceutical company that develops therapeutics to modify the course of cardiopulmonary diseases, with a primary focus on pulmonary arterial hypertension (PAH), a progressive, life-threatening disease characterized by pulmonary vascular remodeling and elevated pulmonary vascular resistance. It offers IKT-001, a novel oral prodrug of imatinib mesylate designed for the treatment of pulmonary arterial hypertension (PAH) was designed to improve areas of the molecule that might play a role in the gastrointestinal side effects associated with imatinib, while maintaining systemic exposure and efficacy through oral administration. The company has completed non-human primate safety studies and a bioequivalence clinical study in healthy volunteers, establishing dose equivalence with imatinib. IKT-001 is currently being evaluated in a global, adaptive Phase 3 clinical trial (IMPROVE-PAH), with endpoints including pulmonary vascular r…
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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.