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Aeva Technologies (AEVA) investor relations material
Aeva Technologies Q3 2025 earnings summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Executive summary
Completed joint development with a top 10 global passenger OEM and entered late-stage contract negotiations for a series production award, targeting multiple geographies excluding China.
Progressed Daimler Truck production program with initial vehicle builds completed and Atlas C sample deliveries planned for 2026, supporting a 2027 market entry.
Expanded precision sensing product line with Eve 1D and 1V sensors, targeting the manufacturing automation market, and received initial customer orders.
Announced $100 million investment from Apollo Global Management via convertible notes, strengthening liquidity and supporting scaling and FMCW adoption.
Released AevaScenes, the industry's first FMCW 4D LiDAR open dataset, to advance autonomous vehicle perception research.
Financial highlights
Q3 2025 revenue was $3.6 million, up 57%-59% year-over-year, driven by sensor shipments and NRE for Daimler Truck.
Non-GAAP operating loss declined to $27.2 million, reflecting targeted expense reductions.
Gross cash use was $33.6 million, higher than prior quarter due to payment timing and working capital.
Cash, cash equivalents, and marketable securities totaled $48.9 million as of September 30, 2025, with an available equity facility of $125 million.
Pro forma liquidity, including Apollo investment, stands at approximately $270 million.
Outlook and guidance
Positioned to finish the year strong, with expectations to close the top 10 global passenger OEM production program decision.
Confident in momentum to continue into 2026 and beyond, leveraging differentiated technology and strong balance sheet.
Daimler Truck program remains on track for 2027 market entry, with scaling planned for 2026 and Atlas C sample deliveries in 2026.
Targeting production of Eve 1V for manufacturing automation in 2026 and building out manufacturing capacity ahead of expected volume increases.
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