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Seeing Machines
Seeing Machines (SEE) investor relations material
Seeing Machines H1 2026 TU earnings summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.H1 2026 TU earnings summary18 Feb, 2026
Executive summary
Entering a pivotal phase ahead of the July 2026 EU General Safety Regulation deadline mandating camera-based DMS for all new vehicles.
Business reshaped for scale, with focus on positive cashflow and operational leverage as regulatory and commercial inflection point nears.
Financial highlights
H1 FY2026 revenue expected between $23.4m–$24.0m, down from $25.3m in H1 FY2025 due to lower NRE activity and absence of prior license revenue.
Annualised Recurring Revenue (ARR) increased to $14.0m from $13.5m at June 2025, driven by Guardian connections.
Adjusted EBITDA loss narrowed to $13.1m–$13.7m from $17.7m in H1 FY2025.
Operating expenses reduced year-over-year, reflecting benefits from FY2025 strategic reorganisation.
Cash at 31 Dec 2025 was $3.4m, with a post-period $14.1m royalty payment received.
Outlook and guidance
Automotive production volumes expected to rise materially as GSR implementation approaches.
Anticipates accelerating royalty volume, expanding recurring revenues, and improved operating leverage.
Adjusted EBITDA expected to turn positive in Q3 and H2 FY2026; focus on generating positive cashflow in H2.
Trading in line with market expectations, with continued momentum.
Future cash flow sustainability beyond H2 FY26
How do new program wins accelerate royalty growth?
How do new tech launches differentiate the company?
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Next Seeing Machines earnings date
Q2 202620 Mar, 2026
Seeing Machines
Next Seeing Machines earnings date
Q2 202620 Mar, 2026
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Frequently asked questions
Seeing Machines Limited develops advanced computer vision technologies designed to improve safety in transportation and industrial sectors. The company specializes in driver and operator monitoring systems, which leverage AI-powered eye, face, and head tracking technologies to detect and respond to signs of drowsiness, distraction, or impaired attention. Its solutions are applied in industries such as automotive, aviation, rail, and fleet management, helping enhance safety and operational efficiency. The company is headquartered in Canberra, Australia, and its shares are listed on the AIM.
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