Spirax Group (SPXSY) Fair Value & Analysis
Industrials · US · Market cap $6.9B
Analysis
Spirax Group (SPXSY) currently trades at $45.63, while our model-based Fair Value estimate is $27.32 — implying the stock looks roughly 40.1% 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
Spirax Group plc provides thermal energy and fluid technology solutions in Europe, the Middle East, Africa, the Asia Pacific, and the Americas. It operates through three segments: Steam Thermal Solutions, Electric Thermal Solutions, and Watson-Marlow Fluid Technology Solutions. The company offers industrial and commercial steam systems, including condensate management, controls, and thermal energy management products and solutions for heating, curing, cooking, drying, cleaning, sterilizing, space heating, humidifying, vacuum packing, and producing hot water; electrical process heating and temperature management solutions, such as industrial heaters and systems, heat tracing, and various component technologies; and designs and manufactures peristaltic and niche pumps and associated fluid path technologies, including tubing, specialised filling systems and products for single use applications. The company serves food and beverage, pharmaceutical and biotechnology, oil and gas, chemica…
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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.