PyroGenesis Inc (PYRGF) Fair Value & Analysis
Industrials · US · Market cap $37.0M
Fair value as of: Jun 23, 2026
Analysis
PyroGenesis Inc (PYRGF) currently trades at $0.1534, while our model-based Fair Value estimate is $0.0800 — implying the stock looks roughly 47.8% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
PyroGenesis Inc. designs, develops, manufactures, and commercializes plasma processes and solutions worldwide. The company offers DROSRITE, a process for enhancing metal recovery from dross without any hazardous by-products; plasma atomization process that allows produce and sell spherical metal powders; PUREVAP, a process to produce high purity metallurgical and solar grade silicon from quartz; and PUREVAP NSiR, which is designed to transform silicon into spherical silicon nano powders and nanowires for use in lithium-ion batteries. It provides plasma torches and plasma torch systems used to replace fossil fuel burners; plasma arc waste destruction systems for waste destruction onboard ships; steam plasma arc refrigerant cracking systems for the destruction of certain refrigerants, including chlorofluorocarbons, hydrofluorocarbons, and hydrochlorofluorocarbons; plasma arc chemical warfare agent destruction systems, which are mobile platforms for the onsite destruction of chemical w…
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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.