Tempus AI Inc.
Tempus AI Reports 75.4% Revenue Growth for Q1 2025
Summary
Tempus AI, Inc. reported a 75.4% year-over-year increase in revenue for the first quarter of 2025, reaching $255.7 million. The company also announced multi-year collaborations with AstraZeneca and Pathos, contributing an additional $200.0 million in data licensing and model development fees over the next three years. Tempus increased its full-year 2025 revenue guidance to $1.25 billion, reflecting approximately 80% growth year-over-year. The company reported a net loss of $68.0 million for the quarter, including $28.2 million in stock compensation expense. Adjusted EBITDA improved by $27.8 million year-over-year to $16.2 million. Tempus also disclosed supplemental financial information and a letter from its CEO and CFO on its investor relations website.
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About Tempus AI Inc.
Tempus AI Inc. is a pioneering technology company specializing in the development and application of artificial intelligence solutions across various industries. Its primary function is to harness AI-driven insights to enhance operational efficiency and decision-making processes for enterprises. Tempus AI Inc. is at the forefront of integrating machine learning into sectors such as healthcare, finance, and logistics, where predictive data analytics can provide substantial competitive advantages. The company delivers bespoke AI platforms that enable organizations to streamline complex data sets into actionable intelligence. Its expertise extends to natural language processing and computer vision, offering comprehensive AI tools that drive innovation and efficiency. As a significant player in the tech market, Tempus AI Inc. contributes to setting industry standards for AI deployment, impacting how businesses leverage intelligent technology to improve outcomes and strategic planning. Founded with a mission to propel the development of intelligent systems, Tempus AI Inc. remains a vital contributor to the digital transformation of multiple industries, facilitating the transition towards a more data-driven future.
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