{"data":{"ticker":"AEVA","slug":"aeva-technologies","name":"Aeva Technologies","exchange":"NASDAQ","sector":"Technology","headquarters":"Mountain View, CA","ceo":"Soroush Salehian Dardashti","employees":239,"website":"https://www.aeva.com","founded":"2016","layers":[{"slug":"autonomous-vehicles","name":"Autonomous Vehicles"},{"slug":"robotics","name":"Robotics & Automation"},{"slug":"defense-ai","name":"Defense & Aerospace AI"}],"exposure":{"score":88,"tier":"Core","rationale":"Aeva's entire product line is perception for autonomous systems, a business that only exists because of AI-driven autonomy demand. Revenue is still pre-scale, so the thesis depends on automotive programs like Daimler Truck reaching production volume."},"quote":{"price":8.6,"change24hPct":-7.23,"change7dPct":-13.22,"change30dPct":-41.73,"change1yPct":-44.23,"high52w":29.29,"low52w":8.6,"marketCap":599469568,"peRatio":null,"eps":-2.72,"volume24h":18537300},"nextEarningsDate":"2026-11-04","summary":"Aeva Technologies makes 4D lidar sensors that use frequency modulated continuous wave technology, measuring instant velocity for every pixel along with distance. That extra dimension helps autonomous driving AI separate moving objects from static ones at long range. Aeva earns revenue from automotive programs, industrial sensing, and defense contracts.","explainer":["Aeva Technologies makes 4D lidar sensors that use frequency modulated continuous wave technology, measuring instant velocity for every pixel along with distance. That extra dimension helps autonomous driving AI separate moving objects from static ones at long range. Aeva earns revenue from automotive programs, industrial sensing, and defense contracts.","Its Atlas sensor targets passenger and trucking autonomy, including a production program with Daimler Truck, while Aeries II serves development fleets. The company builds its sensors on CoreVision lidar-on-chip modules, and has extended the same core technology into precision industrial measurement.","Founded in 2016 by former Apple engineers and headquartered in Mountain View, California, Aeva employs about 240 people and trades on the NASDAQ."],"buildoutRole":"Aeva sits in the Autonomous Vehicles, Robotics, and Defense AI layers of the AI buildout. Its FMCW approach adds instant velocity data to every lidar point, which helps autonomy AI classify moving objects sooner and at longer range. That has won it a trucking production program with Daimler Truck along with traction in industrial automation and defense sensing. The company's role in the buildout depends on those design wins scaling into volume production over the next several years.","faq":[{"q":"What does Aeva Technologies do?","a":"Aeva Technologies makes 4D lidar sensors using frequency modulated continuous wave technology, which measures instant velocity for every point along with distance. It sells perception sensors for autonomous vehicles, industrial automation, precision measurement, and defense applications."},{"q":"How is Aeva Technologies exposed to AI?","a":"Supercycle rates it Core with an AI Exposure Score of 88 out of 100. Its entire product line is perception hardware for autonomous systems, a market that exists because of AI. Revenue is still pre-scale, which keeps it just below the top tier."},{"q":"What makes Aeva's lidar different?","a":"Most lidar measures only distance. Aeva's FMCW approach also reads velocity for each pixel instantly, helping autonomy AI distinguish moving objects from static ones sooner and at longer range. The design also resists interference from sunlight and from other sensors nearby."},{"q":"Who are Aeva's customers?","a":"Its most prominent program is with Daimler Truck, which selected Aeva's sensors for autonomous trucking. The company also serves industrial automation and precision measurement customers and has won defense sensing work, spreading its technology across several autonomy markets."},{"q":"Who leads Aeva?","a":"Co-founder Soroush Salehian serves as chief executive officer. He started Aeva in 2016 with Mina Rezk after both worked at Apple. The company is headquartered in Mountain View, California, employs about 240 people, and trades on the NASDAQ."}],"history1y":[{"date":"2026-09-22","close":15.41},{"date":"2026-09-23","close":15.22},{"date":"2026-09-24","close":15.62},{"date":"2026-09-25","close":15.35},{"date":"2026-09-28","close":14.27},{"date":"2026-09-29","close":13.97},{"date":"2026-09-30","close":14.04},{"date":"2026-10-01","close":14.29},{"date":"2026-10-02","close":14.76},{"date":"2026-10-05","close":14.3},{"date":"2026-10-06","close":14.57},{"date":"2026-10-07","close":14.34},{"date":"2026-10-08","close":13.69},{"date":"2026-10-09","close":13.66},{"date":"2026-10-12","close":12.21},{"date":"2026-10-13","close":12.17},{"date":"2026-10-14","close":10.9},{"date":"2026-10-15","close":10.99},{"date":"2026-10-16","close":10.03},{"date":"2026-10-19","close":9.91},{"date":"2026-10-20","close":10.27},{"date":"2026-10-21","close":10.6},{"date":"2026-10-22","close":9.88},{"date":"2026-10-23","close":10.17},{"date":"2026-10-26","close":9.91},{"date":"2026-10-27","close":10.44},{"date":"2026-10-28","close":10.69},{"date":"2026-10-29","close":9.94},{"date":"2026-10-30","close":9.27},{"date":"2026-11-02","close":8.6}],"incomeStatements":[{"ticker":"AEVA","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":18079000,"cost_of_revenue":18739000,"gross_profit":-660000,"operating_expense":0,"operating_income":-127597000,"net_income":-145428000,"earnings_per_share":-2.55,"earnings_per_share_diluted":-2.55,"research_and_development":85424000,"selling_general_and_administrative_expenses":41513000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AEVA","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":9065000,"cost_of_revenue":12855000,"gross_profit":-3790000,"operating_expense":0,"operating_income":-146872000,"net_income":-152261000,"earnings_per_share":-2.85,"earnings_per_share_diluted":-2.85,"research_and_development":102667000,"selling_general_and_administrative_expenses":40415000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AEVA","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":4312000,"cost_of_revenue":10198000,"gross_profit":-5886000,"operating_expense":0,"operating_income":-147788000,"net_income":-149333000,"earnings_per_share":-3.3,"earnings_per_share_diluted":-3.3,"research_and_development":102503000,"selling_general_and_administrative_expenses":39399000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AEVA","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":4192000,"cost_of_revenue":8447000,"gross_profit":-4255000,"operating_expense":0,"operating_income":-151955000,"net_income":-147305000,"earnings_per_share":-3.4,"earnings_per_share_diluted":-3.4,"research_and_development":109587000,"selling_general_and_administrative_expenses":38113000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"AEVA","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":179701000,"current_assets":153525000,"cash_and_equivalents":72291000,"total_liabilities":166486000,"current_liabilities":35869000,"total_debt":102394000,"shareholders_equity":13215000,"retained_earnings":-757289000},{"ticker":"AEVA","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":147489000,"current_assets":123300000,"cash_and_equivalents":28864000,"total_liabilities":48137000,"current_liabilities":39159000,"total_debt":3759000,"shareholders_equity":99352000,"retained_earnings":-611861000},{"ticker":"AEVA","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":257385000,"current_assets":229225000,"cash_and_equivalents":38547000,"total_liabilities":28943000,"current_liabilities":18404000,"total_debt":7354000,"shareholders_equity":228442000,"retained_earnings":-459600000},{"ticker":"AEVA","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":356632000,"current_assets":335123000,"cash_and_equivalents":67420000,"total_liabilities":26706000,"current_liabilities":21827000,"total_debt":7456000,"shareholders_equity":329926000,"retained_earnings":-310267000}],"holders13f":[{"slug":"stanley-druckenmiller","personName":"Stanley Druckenmiller","fundName":"Duquesne Family Office","value":20683000,"portfolioPct":0.0047501044963277,"change":"new","period":"2026-06-30"}],"news":[]},"meta":{"version":"v1","asOf":"2026-11-02","builtAt":"2026-11-03T05:33:46.088Z","tier":"free","source":"https://supercyclehq.com/stock/aeva-technologies","disclaimer":"Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.","license":"Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."},"links":{"self":"https://supercyclehq.com/api/v1/stocks/AEVA","html":"https://supercyclehq.com/stock/aeva-technologies","md":"https://supercyclehq.com/stock/aeva-technologies.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}