PageGroup plc (PAGE) Fair Value & Analysis
Industrials · GB · Market cap 379M GBX
Analysis
PageGroup plc (PAGE) currently trades at p1.07, while our model-based Fair Value estimate is p0.6100 — implying the stock looks roughly 42.7% 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
PageGroup plc, together with its subsidiaries, provides recruitment consultancy and other ancillary services in the United Kingdom, Europe, the Middle East, Africa, the Asia Pacific, and the Americas. It offers executive search services, such as search, selection, and talent management solutions for organizations on a permanent and interim basis under the Page Executive brand; and recruitment services for qualified professional and management level on permanent, temporary, and contract or interim basis under the Michael Page brand. The company also provides recruitment services to organizations requiring permanent employees, temporary, or contract staff at technical and administrative support, professional clerical, and junior management levels under the Page Personnel brand; and flexible offering outsourcing services under the Page Outsourcing brand. In addition, it is involved in the provision of IT consultancy and support services. The company was formerly known as Michael Page I…
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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.