RS Group (RS1) Fair Value & Analysis
Industrials · GB · Market cap 3.2B GBX
Analysis
RS Group (RS1) currently trades at p6.03, while our model-based Fair Value estimate is p7.18 — implying the stock looks roughly 19.1% undervalued today. We read business quality at 97/100 (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
RS Group plc, together with its subsidiaries, engages in the distribution of maintenance, repair, and operations products and service solutions in the United Kingdom, the United States, France, Mexico, Germany, Italy, Switzerland, and internationally. It offers automation and control, and electrification products; cables and connectors; mechanical and fluid power products, such as transmission, pneumatics, and hydraulic components; semiconductors and passive components; test and measurements products; personal protective equipment (PPE), workwear, and janitorial products; and facilities and maintenance products for buildings. The company also provides bundling, kitting, labelling, and assembly services; digital procurement platforms that enhance productivity, reduce spend, and streamline supplier management; inventory solutions that optimize inventory management to reduce waste, enhance supply chains, and lower costs; and DesignSpark, a software tool for design engineers. In additio…
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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.