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LIDR
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AEye to Report Fourth Quarter 2024 Financial Results on Thursday, February 20

1. AEye will release Q4 2024 financial results on February 20, 2025. 2. A conference call will follow the results to discuss performance metrics. 3. AEye's lidar solutions support advanced vehicle autonomy and smart infrastructure. 4. The company's financial disclosure may influence investor sentiment towards LIDR.

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$0.923502/03 08:14 AM EDTEvent Start
$0.898502/03 08:10 PM EDTLatest Updated
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FAQ

Why Bullish?

Positive earnings calls can drive stock prices up, as seen with similar firms like Luminar Technologies, which saw price appreciation after good financial results.

How important is it?

Earnings results impact stock valuation directly, as seen with consistent performance from competitors.

Why Short Term?

Market reactions typically happen immediately after earnings announcements; prior LIDR results have shown this pattern.

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LIDRLAZRVLDR
PLEASANTON, Calif.--(BUSINESS WIRE)--AEye, Inc. (Nasdaq: LIDR), a global leader in adaptive, high-performance lidar solutions, today announced that it will release its financial results for the fourth quarter ended December 31, 2024 after the market close on Thursday, February 20, 2025. A conference call and audio webcast will be held the same day, at 2:00 p.m. Pacific Time (5:00 p.m. Eastern Time). Supplemental financial information will be available on the company’s website prior to the earnings call. To access the conference call, please use the following links: Conference call: https://aeye.pub/42D3K1p Webcast: https://aeye.pub/40Dx9FZ About AEye AEye’s unique software-defined lidar solution enables advanced driver-assistance, vehicle autonomy, smart infrastructure, and logistics applications that save lives and propel the future of transportation and mobility. AEye’s 4Sight™ Intelligent Sensing Platform, with its adaptive sensor-based operating system, focuses on what matters most: delivering faster, more accurate, and reliable information. AEye’s 4Sight™ products, built on this platform, are ideal for dynamic applications which require precise measurement imaging to ensure safety and performance.

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