Gateley (Holdings) Plc, (GTLY) Fair Value & Analysis
Industrials · GB · Market cap 91.2M GBX
Fair value as of: Jun 25, 2026
Analysis
Gateley (Holdings) Plc, (GTLY) currently trades at p0.5250, while our model-based Fair Value estimate is p0.3000 — implying the stock looks roughly 42.9% 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
Gateley (Holdings) Plc, together with its subsidiaries, provides commercial legal and consultancy services in the United Kingdom, Europe, the Middle East, North and South America, Asia, and internationally. It operates through four segments: Corporate, Business Services, People, and Property. The company offers legal, banking, corporate, restructuring advisory, taxation, commercial dispute resolution, complex international litigation, reputation, media, IP and commercial regulatory, and privacy law services. It also provides employment, pension, and private client services; and real estate, residential development, real estate dispute resolution, construction, and planning services. In addition, the company offers investment, tax incentive, and pension trustee services; specialist property, human capital, and investment consultancy services; architecture, building surveyance, civil and structural engineering services; patent attorney and employee benefit trust services; and quantity…
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Frequently asked questions
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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.