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Automakers and their suppliers buy Hesai Group’s LiDAR sensors to help vehicles sense their surroundings for advanced driver assistance. Autonomous vehicle fleets and robotics customers also use its sensors for navigation and collision avoidance. Hesai manufactures and tests the products in its own facilities. LiDAR sales generate nearly all revenue, automotive applications contribute a substantial share, and the AT series brings in most revenue.
Revenue depends on customers taking vehicles and robots from testing into commercial production, then ordering sensors for those products. Selection for a vehicle model does not guarantee orders: customers can delay or cancel projects, and sales ultimately depend on demand for the equipped models. A small group of major customers supplies most revenue. Large automotive buyers also press for lower prices, so Hesai needs production-cost savings to offset those reductions.
Hesai remains on the U.S. Department of Defense’s Chinese Military Companies List, a designation it is challenging in court. The designation restricts direct Defense Department contracts and bars contracts or funding from the Department of Homeland Security; it is not a blanket ban on commercial U.S. sales. Certain exports of its LiDAR products to the United States also face elevated tariffs.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
Hesai’s results hinge on automotive LiDAR adoption, production volumes and pricing against rivals such as RoboSense, an important competitor missing from this list.
Innoviz Technologies Ltd. competes with Hesai to sell automotive LiDAR sensors to carmakers and the suppliers that provide their vehicle systems. Watch its passenger-car programs for advanced driver assistance and autonomous driving for signs of adoption and competitive pricing pressure in Hesai’s market.
Ouster competes with Hesai to sell LiDAR sensors to customers building automotive, robotics and industrial systems. Its robotics and industrial sales offer a window into demand beyond cars, where Hesai sells sensors for delivery robots and automated warehouses.
MicroVision competes with Hesai for carmakers and their system suppliers buying LiDAR for advanced driver assistance and autonomous driving. Watch its high-volume automotive supply agreements and anticipated production royalties to distinguish progress toward production from one-off development revenue.
Aurora Innovation uses Hesai LiDAR alongside its own sensing technology in its autonomous-driving platform, linking Hesai’s opportunities to deployment of its subscription-based driverless trucking service. Watch truck rollout news and restrictions on Chinese-origin LiDAR, which could affect Aurora’s access to components and deployment plans.
Serve Robotics Inc. uses Hesai LiDAR in its sidewalk delivery robots, so expanding its fleet creates sensor demand for Hesai. Watch fleet expansion in its food-delivery business rather than treating delivery-order growth alone as new sensor demand.
Aurora Innovation, Inc. earningsAUR
Aurora Innovation's report will show how its driverless trucking service is progressing and whether deployment or component restrictions are affecting a customer platform that uses Hesai LiDAR.
Watch the rollout of driverless trucks and whether restrictions on Chinese-origin LiDAR affect deployment or component access. More trucks entering service would point to progress toward commercialization and potential sensor demand, but would not establish that Hesai has received orders; delays or a switch to other sensors would put that demand channel in doubt. The takeaway is whether Aurora's fleet expansion can translate into sensor demand Hesai can serve.
Microvision Inc earningsMVIS
MicroVision's report will show whether automakers are moving its LiDAR programs from development toward production, revealing how far the market for Hesai's automotive customers is progressing.
Separate revenue tied to production from one-off development revenue. More production-linked revenue would show automakers moving programs closer to vehicles on the road and LiDAR adoption advancing; revenue still centered on development work would mean production progress is less established. MicroVision competes for the same kinds of automotive customers as Hesai, so the conclusion is whether customer programs are reaching production—not whether Hesai won them.
Ouster, Inc. earningsOUST
Ouster's report will show whether robotics and industrial customers are buying LiDAR, offering a read on demand for Hesai's sensors in uses such as delivery robots and automated warehouses.
Look at Ouster's sales in robotics and industrial applications, not just its automotive business. Stronger sales would show non-automotive customers buying LiDAR for uses such as delivery and warehousing, supporting the demand case for Hesai in those markets; weaker sales would show that interest has not necessarily become purchases. Because Ouster competes with Hesai for these sensor customers, the conclusion is whether non-automotive demand is translating into sales.
Hesai Group earningsThis company
Lower-priced ADAS products make up more of Hesai Group's LiDAR business, and this report will show whether sales can grow without eroding gross margin.
Read LiDAR revenue alongside gross margin. Growing revenue with a steady margin would show that scale and cost savings are offsetting pressure from lower-priced products; growing revenue with a falling margin would show that pricing or product mix is outweighing those savings. The question is whether Hesai Group can turn more sales into profitable growth.
Serve Robotics Inc. earningsSERV
Serve Robotics' report will show whether the fleet of sidewalk delivery robots using Hesai LiDAR is expanding; growth in delivery orders alone does not establish greater sensor demand.
Focus on whether the operating fleet of delivery robots is expanding; more delivery orders alone do not mean more sensors are needed. A larger fleet would put more robots using Hesai LiDAR into service and could create additional sensor demand; a flat fleet would not show that demand even if orders grew. The takeaway is whether Serve's expansion brings more robots into deployment, not simply whether its delivery business is busier.
