Kelly Services, Inc (KELYB) Fair Value & Analysis
Industrials · US · Market cap $624M
Analysis
Kelly Services, Inc (KELYB) currently trades at $18.12, while our model-based Fair Value estimate is $35.24 — implying the stock looks roughly 94.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Kelly Services, Inc., together with its subsidiaries, provides workforce solutions to various industries in the Americas, Europe, Mexico, and the Asia-Pacific region. It operates in three segments: Enterprise Talent Management, Science, Engineering & Technology, and Education. The Enterprise Talent Management segment delivers temporary staffing, outcome-based, and permanent placement services providing administrative, accounting, and finance; light industrial; contact center staffing; and other workforce solutions. This segment also delivers talent solutions, including managed service provider, payroll process outsourcing, recruitment process outsourcing solutions, and executive coaching programs to customers on a global basis that includes its RocketPower and Sevenstep brands. The Science, Engineering & Technology segment offers temporary staffing, outcome-based, and permanent placement services in the areas of science and clinical research, engineering, technology, and telecommuni…
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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.