Coats Group (COA) Fair Value & Analysis
Consumer Cyclical · GB · Market cap 1.5B GBX
Analysis
Coats Group (COA) currently trades at p0.7660, while our model-based Fair Value estimate is p0.9300 — implying the stock looks roughly 21.4% undervalued today. We read business quality at 93/100 (high quality), in the Consumer Cyclical 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
Coats Group plc engages in the provision of essential materials, components, and software solutions for the apparel and footwear industries in Europe, the Middle East, Africa, the Americas, and Asia. The company operates through two divisions Apparel and Footwear. It provides industrial sewing threads for children's wear, denim, intimate and underwear, ladieswear, leather wear, menswear, sports and activewear, and workwear and uniforms applications, as well as offers supply chain components, services, and software. The company also offers engineered products comprising structural components, threads, and insoles for athleisure, performance, fashion, and sports footwear markets. In addition, it provides engineered solutions for industrial customers, including performance threads for various applications; and safety materials and fabrics, and composite products for telecom and energy applications. The company was formerly known as Guinness Peat Group plc and changed its name to Coats …
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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.