Innoviz Technologies Ltd Stock Price, News & Analysis

Innoviz Technologies (NASDAQ: INVZ) was selected by Daimler Truck and Torc Robotics as the Short-Range LiDAR supplier for series production of SAE Level 4 autonomous Class 8 semi-trucks, announced Dec. 2, 2025.

Innoviz will supply its InnovizTwo Short-Range LiDAR sensors and collaborate on joint development to integrate LiDAR into the autonomous Freightliner Cascadia alongside Torc's virtual driver, with deployment planned across highway and regional routes in North America.

Innoviz (NASDAQ: INVZ) reported Q3 2025 results and commercial progress on Nov 12, 2025. Q3 revenue was $15.3M versus $4.5M a year earlier, and year-to-date revenue reached $42.4M (~2.3x 2024). Q3 operating expenses fell 30% to $18.1M. Cash and equivalents and short-term investments totaled $74.4M at Sept 30, 2025. The company reiterated FY2025 targets of $50–$60M revenue, 1–3 new program wins and $30–$60M NRE bookings.

Commercially, Innoviz began shipping InnovizTwo units for data collection to a major commercial vehicle OEM selected for future L4 Class 8 series production, is expanding L3/L4 automotive programs and unveiled the smaller, lower-power InnovizThree.

Innoviz (NASDAQ: INVZ) will release third quarter 2025 results for the period ended September 30, 2025 on Wednesday, November 12, 2025 before market open.

The company will host a conference call and webinar the same day at 9:00 a.m. Eastern Time to discuss operational and financial results, followed by a Q&A for investors. A press release with results will be issued prior to the call. Investors must register in advance to attend; registrants will receive relevant access information. A replay of the webinar will be available in Innoviz's Investors section for 90 days.

Innoviz Technologies (NASDAQ: INVZ), a Tier-1 automotive LiDAR supplier, has achieved ISO/IEC 17025:2017 certification for its hardware qualification testing laboratories. This certification validates the company's in-house testing capabilities and positions Innoviz among select LiDAR companies with accredited testing facilities.

The certification enables faster testing, parallel product development, and accelerated time-to-market for customers. Innoviz's laboratories offer comprehensive testing including temperature, humidity, stone impact, weather resistance, and mechanical vibration testing. This achievement complements the company's existing certifications in automotive quality management (IATF 16949:2016), environmental management (ISO 14001:2015), and occupational safety (ISO 45001:2018).

Innoviz Technologies (NASDAQ: INVZ) has been selected by a major commercial vehicle OEM to supply InnovizTwo LiDAR sensors for Level 4 autonomous class-8 semi-trucks. The company will initially provide units for the OEM's data collection trucking fleet while developing software modifications to meet specific vehicle integration requirements.

The autonomous trucks will be deployed across highway and regional routes in North America, aimed at helping fleet operators reduce costs, improve uptime, and enhance road safety. This selection follows Innoviz's earlier SAE L3 development program with a Top 5 passenger vehicle OEM, reinforcing its position as a preferred 3D sensing partner for global OEMs and AV providers.

Innoviz Technologies (NASDAQ: INVZ), Cron AI, and D2 Traffic Technologies have announced a strategic collaboration to accelerate LiDAR adoption in intelligent transport systems. The partnership combines InnovizSMART LiDAR sensors, Cron AI's senseEDGE perception platform, and D2's infrastructure expertise.

The solution features impressive technical capabilities, with InnovizSMART delivering 5.76 million points-per-second and 450-meter range. Initial deployments are planned for three key intersections in Atlanta, with demonstrations scheduled at the ITS World Congress in August 2025.

This initiative targets the growing intelligent transportation system market, projected to reach $73.76 billion by 2034, with North America accounting for $16.67 billion in 2024 and expected to grow at 6.65% annually.

Innoviz Technologies (NASDAQ: INVZ), a Tier-1 supplier of automotive LiDAR solutions, reported strong Q2 2025 results with revenues of $9.7 million, up from $6.7 million in Q2 2024. The company's H1 2025 revenues have already surpassed full-year 2024 levels, with Q2 cash burn reduced to $7.3 million.

Key developments include a Statement of Development Work agreement with a Top 5 passenger automotive OEM for a 2027 production program, commencement of unit shipments from Fabrinet's high-volume production line, and the launch of InnovizSMART for industrial applications. Operating expenses decreased 20% to $18.5 million.

The company maintains its FY 2025 revenue guidance of $50-60 million and raised its NRE bookings target to $30-60 million, with over $20 million already booked year-to-date.

Innoviz Technologies (NASDAQ: INVZ), a Tier-1 supplier of automotive-grade LiDAR sensors and perception software, has scheduled its Q2 2025 earnings conference call for Wednesday, August 13, 2025, at 9:00 a.m. ET.

The company will release its financial results for the quarter ended June 30, 2025, before market opening. Following the results announcement, management will host a conference call and webinar with a Q&A session for investors. Interested participants must register in advance online, and a replay will be available in the Investors section of Innoviz's website for 90 days.

Innoviz Technologies (Nasdaq: INVZ) announced the integration of its InnovizSMART Long-Range LiDAR with the NVIDIA Jetson AGX Orin platform. This collaboration enhances the performance and efficiency of Innoviz's LiDAR solutions through NVIDIA's advanced AI processing capabilities.

The integration enables improved real-time decision-making for applications in mobility, aerial robotics, and intelligent traffic management. InnovizSMART Long-Range offers high-resolution 3D point cloud detection up to 400 meters, featuring low power consumption and uniform field of view. The partnership aims to streamline data processing and reduce operational costs for smart application deployments.