Smiths Group (SMGKF) Fair Value & Analysis
Industrials · US · Market cap $10.2B
Analysis
Smiths Group (SMGKF) currently trades at $34.15, while our model-based Fair Value estimate is $26.14 — implying the stock looks roughly 23.5% overvalued today. We read business quality at 94/100 (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
Smiths Group plc operates as an industrial technology company in Americas, Europe, the Asia Pacific, and internationally. The company operates through four segments: John Crane, Smiths Detection, Flex-Tek, and Smiths Interconnect. The John Crane business offers mechanical seals, seal support systems, power transmission couplings, and specialized filtration systems. The Flex-Tek business offers engineered components, flexible hosing, and rigid tubing that heat and move fluids and gases. The Smiths Detection business provides sensors and systems that detect and identify explosives, narcotics, weapons, chemical agents, biohazards, and contraband. The Smiths Interconnect business provides specialized electronic and radio frequency board-level and waveguide devices, connectors, cables, test sockets, and sub-systems used in secure connectivity applications. It serves general industrial, safety and security, energy, and aerospace markets. The company was formerly known as Smiths Industries…
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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.