Franchise Brands plc (FRAN) Fair Value & Analysis
Industrials · GB · Market cap 279M GBX
Fair value as of: Jun 24, 2026
Analysis
Franchise Brands plc (FRAN) currently trades at p1.44, while our model-based Fair Value estimate is p1.03 — implying the stock looks roughly 28.5% 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
Franchise Brands plc, through its subsidiaries, engages in franchising and related activities in the United Kingdom, North America, and Europe. The company operates through six segments: Pirtek Europe, Water & Waste Services, Filta International, B2C, Azura, and Others. It offers on-site hydraulic hose replacement and related services under the Pirtek name; drainage solutions to commercial customers, including facilities management, construction, manufacturing, education, retail, insurance, water utilities, and public sectors under the Metro Rod name; emergency plumbing services under the Metro Plumb name; cooking oil filtration and fryer management services to commercial customers under the Filta name; and designs, installs, and services adoptable and non-adoptable pump stations under the Willow Pumps name. The company also offers mobile car paintwork repair specialist services comprising bumper scuffs, paintwork scratches, minor dents, and alloy wheel repairs under the ChipsAway n…
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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.