ASP Isotopes Inc (ASPI) Fair Value & Analysis
Basic Materials · US · Market cap $841M
Fair value as of: Jun 24, 2026
Analysis
ASP Isotopes Inc (ASPI) currently trades at $7.08, while our model-based Fair Value estimate is $4.86 — implying the stock looks roughly 31.4% overvalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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
ASP Isotopes Inc., a development stage advanced materials company, engages in the production, distribution, marketing, and sale of isotopes in South Africa,Hong Kong, and United States. It operates in two segments, Nuclear Fuels, and Specialist Isotopes and Related Services. The Nuclear Fuels segment focuses on the research and development of technologies and methods used to produce high-assay low-enriched uranium (HALEU) and Lithium-6 for the advanced nuclear fuels target end market. Its Specialist Isotopes and Related Services segment engages in the research and development of technologies and methods used to separate high-value, low-volume isotopes, such as C-14, Mo-100 and Si-28, for target end markets, including pharmaceuticals and agrochemicals, nuclear medical imaging, and semiconductors; provision of related services; and operation of PET labs. The company offers the Aerodynamic Separation Process (ASP) technology, which separates gas species and isotopes in a volatile state…
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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.