The Property Franchise Group (TPFG) Fair Value & Analysis
Real Estate · GB · Market cap 311M GBX
Fair value as of: Jun 26, 2026
Analysis
The Property Franchise Group (TPFG) currently trades at p4.81, while our model-based Fair Value estimate is p5.08 — implying the stock looks roughly 5.6% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: high) — always confirm before acting.
About the company
The Property Franchise Group PLC engages in residential property franchise, and licensing and financial services businesses in the United Kingdom. It operates through three segments: Property Franchising, Financial Services, and Licensing. The company is involved in sale of franchise and licensed territories; support of franchisees and licensees in supplying residential lettings; provision of sales and property management services, as well as financial services; and operates as property franchisor. It offers its services under the Belvoir, CJ Hole, Clarke and Partners, Country Properties, Ellis & Co, EweMove, Fine & Country, Hunters, Hunters Personal, Lovelle, Martin & Co, Mullucks, Newton Fallowell, Nicholas Humphreys, Northwood, Parkers, The Guild, and Whitegates brands. The company serves landlords, tenants, buyers, and sellers. The company was formerly known as MartinCo PLC and changed its name to The Property Franchise Group PLC in March 2017. The Property Franchise Group PLC w…
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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.