Perimeter Solutions, Inc (PRM) Fair Value & Analysis
Basic Materials · US · Market cap $4.9B
Fair value as of: Jun 24, 2026
Analysis
Perimeter Solutions, Inc (PRM) currently trades at $35.81, while our model-based Fair Value estimate is $20.84 — implying the stock looks roughly 41.8% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Perimeter Solutions, Inc. manufactures and supplies firefighting products, electronic components, lubricant additives, and engineered machinery in the United States, Germany, and internationally. It operates in two segments, Fire Safety and Specialty Products. The Fire Safety segment provides fire retardants and firefighting foams, as well as specialized equipment and services for federal, state, provincial, local/municipal, and commercial customers. The Specialty Products segment develops, produces, and markets products for non-fire safety markets, including phosphorus pentasulfide based lubricant additives used in pesticide and mining chemicals applications, and electric battery technologies. This segment also offers engineered machinery and associated aftermarket consumables parts, and services, as well as original equipment manufacturing, and automation solutions for medical devices such as complex catheters, guidewires and microcoils, as well as aftermarket parts, services, and…
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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.