Perma-Fix Environmental Services, Inc (PESI) Fair Value & Analysis
Industrials · US · Market cap $233M
Fair value as of: Jun 24, 2026
Analysis
Perma-Fix Environmental Services, Inc (PESI) currently trades at $11.09, while our model-based Fair Value estimate is $10.64 — implying the stock looks roughly 4.1% 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
Perma-Fix Environmental Services, Inc., through its subsidiaries, operates as an environmental and technology know-how company in the United States. The company operates in two segments, Treatment and Services. The Treatment segment offers nuclear, low-level radioactive, mixed waste, hazardous and non-hazardous waste treatment, and processing and disposal services through treatment and storage facilities. This segment is also involved in the research and development activities to identify, develop, and implement waste processing techniques for problematic waste streams. The Services segment provides technical services, including professional radiological measurement and site survey of government and commercial installations; health physics services; integrated occupational safety and health services; consulting, engineering, project and waste management, environmental, decontamination and decommissioning (D&D) field, and technical and management personnel and services; and waste man…
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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.