IMI plc (IMIUY) Fair Value & Analysis
Industrials · US · Market cap $9.6B
Fair value as of: Jun 24, 2026
Analysis
IMI plc (IMIUY) currently trades at $38.88, while our model-based Fair Value estimate is $27.80 — implying the stock looks roughly 28.5% 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
IMI plc designs and manufactures fluid and motion control solutions in the United Kingdom, Germany, rest of Europe, the United States, rest of the Americas, China, rest of the Asia Pacific, the Middle East, and Africa. It operates through Automation and Life Technology segments. The company provides engineer advanced fluid control automation solutions; creates fluid and motion control solutions; pneumatic and electric motion systems for creating smart, safe, and sustainable factories, production lines, and operations; valves, actuators, and digitally connected products. It also develops solutions that reduce emissions from commercial vehicles; and develops new products to support zero emission technologies. In addition, the company offers heating and cooling systems; syringe pumps; and detection technologies. It serves process automation, industrial automation, climate control, life science and fluid control, and transportation sectors. The company was formerly known as Imperial Met…
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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.