Peel Hunt Limited (PEEL) Fair Value & Analysis
Financial Services · GB · Market cap 112M GBX
Fair value as of: Jun 26, 2026
Analysis
Peel Hunt Limited (PEEL) currently trades at p1.01, while our model-based Fair Value estimate is p0.2700 — implying the stock looks roughly 73.1% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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
Peel Hunt Limited engages in the integrated investment banking, research and distribution, and execution service businesses in the United Kingdom. The Investment Banking division provides financial advisory and capital market services for equity capital markets, debt advisory, private and public mergers and acquisitions, investor relations, private equity, and corporate broking. The Research & Distribution division offers equity research services for building and construction, consumer, economics, financials, healthcare and life sciences, industrials, insurance, investment companies, media, mining, oil and gas, real estate, renewables, retail, support services, technology, transport, and travel and leisure sectors. The Execution Services division provides dealing and execution services for institutional asset managers, registrars, private client wealth managers, and private banks. The company was formerly known as PH Capital Limited and changed its name to Peel Hunt Limited in Septe…
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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.