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Oxford Instruments plc (OXINF) Fair Value & Analysis

Technology · US · Market cap $2.4B

Price$40.35
Fair Value$21.59
Upside-46.5%
Quality97/100
Evidence: High Range $15.19 – $28.82

Analysis

Oxford Instruments plc (OXINF) currently trades at $40.35, while our model-based Fair Value estimate is $21.59 — implying the stock looks roughly 46.5% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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

Oxford Instruments plc provide scientific technology products and services for academic and commercial organizations in the United Kingdom and internationally. It operates through two segments: Imaging and Analysis and Advanced Technologies. The company offers atomic force, electron, light, and Raman microscopy; deposition tools comprising plasma enhanced chemical vapour deposition, inductively coupled plasma chemical vapour deposition, atomic layer deposition, and ion beam deposition systems; and etch tools, including inductively coupled plasma etching, reactive ion etching, deep silicon etching, atomic layer etching, and ion beam etching systems. It also provides low temperature systems, such as dilution refrigerators, high field magnets, and cryostats; optical imaging products, including cameras, confocal microscopy, and 3d and 4d visualization software; nuclear magnetic resonance (NMR) products comprising NMR spectrometers, TD-NMR research, QA/QC analyzers, and rock core analyze…

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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.