R. STAHL AG (RSL2) Fair Value & Analysis
Industrials · DE · Market cap €81.1M
Fair value as of: Jun 24, 2026
Analysis
R. STAHL AG (RSL2) currently trades at €14.20, while our model-based Fair Value estimate is €17.42 — implying the stock looks roughly 22.7% 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
R. STAHL AG, together with its subsidiaries, develops, manufactures, assembles, and distributes devices and systems for measuring, controlling, and distribution of energy, securing, and lighting explosive environments worldwide. It offers luminaires, including linear luminaires, tubular light fittings, emergency luminaires, floodlights, pendant light fittings, wall and ceiling mounted bulkhead light fittings, helideck systems, and hand lamps; junction and terminal boxes; and control boxes, such as temperature controllers and limiters, control equipment for panel mounting, control stations for industrial, and thermostats. The company provides control systems and distribution boards comprising lighting and heating circuit distribution boards, load disconnect switches, motor protection circuit breakers, safety switches, uninterrupted power supply products, machine controls, and battery boxes, as well as direct-on-line motor, star delta, and soft starters. In addition, it offers health …
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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.