Rotork plc (RTOXF) Fair Value & Analysis
Industrials · US · Market cap $3.5B
Fair value as of: Jun 24, 2026
Analysis
Rotork plc (RTOXF) currently trades at $4.20, while our model-based Fair Value estimate is $3.82 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Rotork plc manufactures industrial flow control and instrumentation solutions for the oil and gas, water and wastewater, power, chemical process, and industrial markets. It operates through three segments: Oils & Gas; Water & Power; and Chemical, Process & Industrial segments. The company provides electric industrial, electric intelligent, electro-hydraulic, heavy and light duty fluid, and precision modulating actuators; and flow pressure control and filtration, gearbox accessories, master station, networks and protocols, multi-turn gearboxes, valve positioners and controllers, part-turn gearboxes, HVAC actuators and sensors, instrumentation valves, electrical instrumentation, and limit switches and position transmitters. It also provides integrated ethernet, packaged solutions, carbon capture and storage, hydrogen industrial gases, desalination, and methane emissions reduction solutions. The company offers its products under the Bifold, Centork, Fairchild, Hanbay, Mastergear, Midla…
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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.