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Ouster posts Q2 revenue beat but shares fall on softer Q3 outlook

Ouster posts Q2 revenue beat but shares fall on softer Q3 outlook

The lidar maker reported $54.63 million in second-quarter revenue, topping estimates, but guided third-quarter sales to a range that came in slightly below Wall Street expectations.

Fact Check
Both the official Ouster press release (Business Wire) and Benzinga confirm the specific claim details. Benzinga states Q2 revenue of $54.63M beat the $50.88M estimate, exactly matching the claimed revenue figure and 'beat.' The same source confirms Q3 guidance of $54.5M–$57.5M came in below the $57.48M consensus, and that OUST shares fell 8.51% after hours — consistent with the claim that shares fell on a softer Q3 outlook. The official press release independently corroborates Q2 revenue (~$55M, record product revenue) and the identical Q3 guidance range of $54.5M–$57.5M.
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Summary

Ouster shares fell in after-hours trading after the lidar maker reported second-quarter revenue above analyst expectations but posted a wider-than-expected loss and issued third-quarter guidance that was modestly light at the midpoint. The company reported revenue of $54.63 million for the quarter, ahead of the $50.88 million consensus estimate, while its loss of 27 cents per share missed expectations for a 20-cent loss. Total revenue rose 56% from a year earlier, with product revenue up 51% to $53 million. Ouster said it shipped more than 17,000 lidar and camera sensors during the quarter and ended the period with $263 million in cash, cash equivalents, restricted cash and short-term investments. CEO Angus Pacala said the results reflected momentum in the company's unified sensing and perception platform as customers increased investment in Physical AI. For the third quarter, Ouster forecast revenue of $54.5 million to $57.5 million, compared with analyst expectations of $57.48 million. Shares were down 8.51% in after-hours trading at $41.70 at the time of publication.

Terms & Concepts
  • lidar: Light detection and ranging, a sensor technology that uses lasers to map surroundings and measure distance.
  • Physical AI: Artificial intelligence applied to machines and systems operating in real-world environments, such as robots, vehicles or industrial equipment.
  • unified sensing and perception platform: A combined hardware and software approach for collecting environmental data and interpreting it for autonomous or machine-driven systems.