ManpowerGroup Inc (MAN) Fair Value & Analysis
Industrials · US · Market cap $1.6B
Fair value as of: Jun 24, 2026
Analysis
ManpowerGroup Inc (MAN) currently trades at $32.26, while our model-based Fair Value estimate is $29.67 — implying the stock looks roughly 8.0% 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: medium).
About the company
ManpowerGroup Inc. provides workforce solutions and services under the Manpower, the Experis, and the Talent Solutions brands in the Americas, Southern Europe, Northern Europe, and the Asia Pacific/the Middle East. The company offers recruitment services, including permanent, temporary, and contract recruitment of professionals, as well as administrative, industrial, and information technology professional positions; assessment, upskilling, reskilling, training and development, career management, and workforce consulting services; and outsourcing services related to human resources functions primarily in the areas of large-scale recruiting and workforce-intensive initiatives. It also offers contingent staffing and permanent recruitment services; information technology professional resourcing and project services; and recruitment process outsourcing solutions; and right management services, as well as TAPFIN, a managed service provider solution. ManpowerGroup Inc. was incorporated in…
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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.