WillScot Holdings (WSC) Fair Value & Analysis
Industrials · US · Market cap $4.8B
Analysis
WillScot Holdings (WSC) currently trades at $27.85, while our model-based Fair Value estimate is $23.11 — implying the stock looks roughly 17.0% 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
WillScot Holdings Corporation provides turnkey temporary space solutions in the United States, Canada, and Mexico. The company leases, sells, delivers, and installs modular space solutions and portable storage products. It offers modular space solutions, such as modular office complexes, mobile offices, classrooms, blast-resistant modules, clearspan structures, and sanitation solutions; and portable storage solutions, including portable storage and climate-controlled containers and trailers. The company also provides workstations, furniture, appliances, media packages, power and solar solutions, telematics, connectivity and data solutions, security and protection products, entrance packages, electrical and lighting products, organization and space optimization assets, perimeter solutions, and other items. The company serves customers in the construction and infrastructure, commercial and industrial, and energy and natural resources markets, as well as governments and institutions. T…
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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.