MSA Safety Incorporated (MSA) Fair Value & Analysis
Industrials · US · Market cap $6.2B
Analysis
MSA Safety Incorporated (MSA) currently trades at $162.66, while our model-based Fair Value estimate is $118.24 — implying the stock looks roughly 27.3% 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: high).
About the company
MSA Safety Incorporated develops, manufactures, and supplies safety products and technology solutions that protect workers and facility infrastructures worldwide. The company offers breathing apparatus products, including self-contained breathing apparatus; firefighter helmets and protective apparel; and fixed gas and flame detection systems, such as fixed gas detection monitoring systems, flame detectors and open-path infrared gas detectors, and refrigerant detection and identification solution, as well as hand-held portable gas detection instruments to detect the presence or absence of various gases in the air. It also provides industrial head protection and accessories; fall protection equipment, such as confined space equipment, harnesses, lanyards, and self-retracting lifelines, as well as engineered systems; and air-purifying respirators, eye and face protection products, ballistic helmets, and gas masks. The company serves fire service, energy, utility, construction, and indu…
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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.