What happened with INVZ today?
No read yet
Uses news and trading volume to explain the day’s move and how it relates to the market.
Stop guessing. Get the call, a three-month target price, the best and worst cases, and a source for every claim.
Innoviz Technologies supplies vehicle makers and automotive suppliers with sensors that use laser light to measure distances, known as LiDAR, and software that turns the readings into information for automated-driving systems. Customers pay for sensors, components and engineering work to prepare their programs for production. Engineering services currently bring in more revenue than hardware sales. InnovizTwo is a key automotive platform; InnovizSMART serves newer markets such as security, traffic management and robotics, where initial commercial sales have begun.
The business depends heavily on Volkswagen programs through Cariad SE, Mobileye programs and the recently announced Daimler Truck North America program. Being selected for a vehicle program does not guarantee production orders: revenue depends on customers completing integration and bringing vehicles to market.
Innoviz uses contract manufacturers and is still building its ability to supply at scale; it has not yet manufactured LiDAR at mass-production scale for any program. Customer deployment also depends on autonomous-vehicle rules, which differ across markets and can restrict where vehicles using its products operate.
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.
Innoviz’s results hinge on LiDAR program development and production ramp-ups at Volkswagen, BMW, Mobileye and Daimler Truck, so watch those customers even though several are absent from this list.
Hesai competes with Innoviz for automakers’ and major automotive suppliers’ spending on LiDAR for driver assistance and autonomous driving, putting Innoviz’s sales and margins under pressure. Watch adoption of Hesai’s AT and ET sensors for Level 2 and Level 3 systems.
Innoviz depends on Mobileye’s Drive program for a significant source of current and projected revenue: Mobileye selected InnovizTwo LiDAR for that autonomous-driving platform. Watch Drive’s progress specifically, since substantially all of Mobileye’s fiscal 2025 revenue came from commercially deployed driver-assistance solutions.
Aeva competes with Innoviz for automotive and industrial customers’ LiDAR and development spending. Nearly all of Aeva’s revenue since inception has come from partnerships and development arrangements supplying prototypes and engineering work, so watch whether those programs yield production orders rather than treating development revenue as proof of commercial adoption.
MicroVision competes with Innoviz to sell LiDAR sensors, software and engineering services to automakers and major automotive suppliers building advanced driving systems. Watch its high-volume automotive supply agreements and anticipated production royalties for evidence that customers are moving toward production.
Ouster competes with Innoviz for customers buying LiDAR and software that interprets sensor data in automotive, robotics and smart infrastructure. Its Gemini and BlueCity software business is worth watching alongside InnovizSMART’s push into robotics and intelligent traffic management.
AEye competes with Innoviz for automakers’ and major automotive suppliers’ purchases of LiDAR, software and development services. Watch its customer development contracts, which pay for software changes, customized scanning and improved interpretation of sensor data.
Magna both makes InnovizOne LiDAR for BMW’s Level 3 program and buys the components from Innoviz, tying Innoviz’s component sales to that production program. Watch BMW-program manufacturing progress at Magna, rather than Magna’s broad sales of vehicle parts and contract-built vehicles to automakers.
Arbe offers high-resolution radar as a competing sensing choice to Innoviz’s LiDAR for automakers and major automotive suppliers. It primarily sells radar chipsets to suppliers that build radar systems for automakers, making chipset adoption by those suppliers the business to watch.
Mobileye Global Inc. earningsMBLY
If Mobileye reports on its Drive program, the update will show whether the platform that selected InnovizTwo LiDAR is moving toward deployment.
Look for production or customer-program updates specifically on Drive, not Mobileye’s total revenue: substantially all of its 2025 revenue came from commercially deployed driver-assistance solutions. Clear Drive progress would support a path for Innoviz’s selected LiDAR to reach production; delays or no reported progress would leave this important revenue source less certain, even if Mobileye’s other business grows.
Magna International earningsMGA
If Magna reports on BMW Level 3 program production, its update will show how the program that uses its InnovizOne LiDAR and Innoviz components is progressing.
Look for production or other progress in the BMW Level 3 program, not Magna’s overall vehicle-parts sales. More program progress would show that the program using InnovizOne is advancing and support the route for Magna to buy components from Innoviz; delays or weaker progress would put sales from this business further out.
Hesai Group earningsHSAI
Hesai’s report can show whether automakers and major suppliers are adopting its AT and ET LiDAR sensors, which compete with Innoviz for driver-assistance and autonomous-driving programs.
Look for adoption of AT and ET sensors in Level 2 and Level 3 systems. Rising adoption would show automotive LiDAR demand advancing, but also that Hesai is winning more deployments and could put more pressure on Innoviz’s sales and prices; weak adoption would mean less immediate competitive pressure, but could also show that the market itself is scaling slowly.
Innoviz Technologies Ltd. earningsThis company
Innoviz’s report will show how much revenue comes from LiDAR sensor sales versus engineering services, and whether that mix is improving gross margin.
Compare LiDAR sensor sales with non-recurring engineering (NRE) service revenue, then read gross margin alongside that mix. Rising sensor sales with improving margin would show customer programs translating into production sales with better economics; if engineering services remain the main source of revenue and margin stays weak, growth would not yet show that sensor production can scale profitably.
