Elliptic Labs (ELABS) Q4 2025 earnings summary
Event summary combining transcript, slides, and related documents.
Q4 2025 earnings summary
26 Feb, 2026Executive summary
Full-year 2025 revenue was NOK 102.7 million, down 23% year-over-year, impacted by revised milestone revenue recognition and restated Q3 results following the audit process.
Q4 2025 revenue reached NOK 42.3 million, down 12% year-over-year, with milestone laptop contract revenues recognized in the quarter.
EBITDA for 2025 was NOK -20.7 million, including NOK 11 million in one-off items in Q4; Q4 EBITDA was NOK 1.4 million.
Strategic review led to targeted cost reductions, a focus on leveraging the existing portfolio, expanding into new verticals, and productizing the AI platform for embedded devices.
Leadership transition occurred in November 2025, with Ola Sandstad appointed as interim CEO.
Financial highlights
Q4 2025 revenue: NOK 42.3 million, including NOK 16.1 million from milestone laptop contracts; full-year revenue: NOK 102.7 million, down NOK 31 million from 2024.
Operating loss for Q4 was NOK 5.9 million; net loss after tax was NOK -95.1 million for Q4 and NOK -138.2 million for 2025, mainly due to derecognition of deferred tax assets.
Operating costs in Q4 totaled NOK 41 million, with NOK 25.3 million in employee benefits and NOK 15.7 million in other expenses; trade receivable losses were NOK 7.7 million.
Cash and cash equivalents at year-end were NOK 43.1 million, with negative operating cash flow of NOK 3.3 million in Q4.
Equity at year-end was NOK 189.8 million, down from NOK 325.3 million, mainly due to derecognition of deferred tax assets and net loss.
Outlook and guidance
Backlog of NOK 31.8 million from multi-year laptop contracts to be recognized evenly over 2026-2027.
Cost efficiency initiatives implemented to reduce personnel and operating costs by around 15% and capitalized development costs by 12%.
Focus on profitable growth in laptops and smartphones, expansion into adjacent verticals, and productization of the AI platform for embedded edge AI markets.
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