R&S Group (RSGN) Fair Value & Analysis
Industrials · CH · Market cap CHF 977M
Analysis
R&S Group (RSGN) currently trades at CHF 25.90, while our model-based Fair Value estimate is CHF 27.68 — implying the stock looks roughly 6.9% undervalued today. We read business quality at 93/100 (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
R&S Group Holding AG manufactures and supplies electrical infrastructure products the United Kingdom, Switzerland, Ireland, Italy, Poland, and the Middle East. The company offers cast-resin and oil-immersed distribution transformers; and instrument and dry-type transformers as well as power transformers, including step-up/step-down and rectifier transformers. It also provides maintenance, modernization, repair, and diagnostic services. In addition, the company offers overhead line switches, railway electrification, industrial electrical connectors, electric switchboards, and distribution boards, and support services. Further, it transformers are used in power transmission and distribution; renewable, including hydro, wind, and solar photovoltaics; transport and e-mobility; battery energy storage systems; industrial parks; data centers; buildings and infrastructure, and harbor electrification applications. The company serves power distribution, renewables, and industries. It provides…
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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.