MSC Industrial Direct Co (MSM) Fair Value & Analysis
Industrials · US · Market cap $6.5B
Fair value as of: Jun 24, 2026
Analysis
MSC Industrial Direct Co (MSM) currently trades at $116.26, while our model-based Fair Value estimate is $74.22 — implying the stock looks roughly 36.2% 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
MSC Industrial Direct Co., Inc., together with its subsidiaries, engages in the distribution of metalworking and maintenance, repair, and operations (MRO) products and services in the United States, Canada, Mexico, the United Kingdom, and internationally. The company's metalworking and MRO products include cutting tools, abrasives, machining fluids, measuring instruments, metalworking products, machinery and accessories, tooling components, fasteners, flat stock products, raw materials, machinery hand and power tools, safety and janitorial supplies, plumbing supplies, materials handling products, power transmission components, and electrical supplies. It also offers stock-keeping units through its catalogs and brochures; e-commerce channels, including its website; inventory management solutions; and customer care centers, customer fulfillment centers, regional inventory centers and warehouses. In addition, the company serves individual machine shops, manufacturing companies, and gov…
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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.