Travis Perkins plc (TPK) Fair Value & Analysis
Industrials · GB · Market cap 1.1B GBX
Analysis
Travis Perkins plc (TPK) currently trades at p5.34, while our model-based Fair Value estimate is p6.07 — implying the stock looks roughly 13.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Travis Perkins plc engages in distribution of building material products in the United Kingdom. It operates through Merchanting and Toolstation segments. The company offers tools and building supplies. It also distributes pipeline, insulation, and interior building products; provides managed and hire services; designs and supplies kitchen offer under the Benchmarx; and commercial and industrial heating and cooling solutions. In addition, the company provides specialist civils and drainage solutions; and air-conditioning, refrigeration products, and heat pumps, as well as installation materials. Further, it provides kitchens and joinery products, as well as repair and maintenance management services for social housing landlords. The company markets its products under Travis Perkins, Toolstation, BSS, Keyline, CCF, and TF Solution brands. It sells its products through branches and distribution centres. Travis Perkins plc was founded in 1797 and is headquartered in Northampton, the Uni…
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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.