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OMG Oxford Metrics News Story

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UK's Oxford Metrics prelim H1 revenue rises on motion capture strength

UK's Oxford Metrics prelim H1 revenue rises on motion capture strength


Overview

  • UK smart sensing tech firm's preliminary H1 revenue up 3% on Motion Capture growth

  • Adjusted EBIT loss narrowed to £0.2m from £0.4m loss, aided by higher margin and cost control

  • Vision Metrology revenue fell 17% due to delayed customer projects, now expected later in FY26


Outlook

  • Oxford Metrics maintains FY26 revenue guidance at about £56m for the 15-month period

  • Company expects further cost optimisation to deliver £1.0-1.6m annualised savings from FY27

  • Motion Capture pipeline remains supportive; Vision Metrology has improved forward visibility


Result Drivers

  • MOTION CAPTURE GROWTH - Revenue rose 10% in Motion Capture, supported by international contract wins and demand in entertainment and engineering

  • VISION METROLOGY DELAYS - Vision Metrology revenue fell 17% due to timing of customer projects and delayed repeat orders

  • COST DISCIPLINE - Improved gross margin and narrowed adjusted EBIT loss attributed to cost control and higher Motion Capture revenue mix


Company press release: ID:nRSQ5745Ia


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Basic EPS

-GBP 0.007

H1 Pretax Profit

-GBP 1 mln


Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the software peer group is "buy."

  • Wall Street's median 12-month price target for Oxford Metrics PLC is GBp87.50, about 87.2% above its June 16 closing price of GBp46.75

  • The stock recently traded at 18 times the next 12-month earnings vs. a P/E of 19 three months ago


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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