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Tempus AI Inc.
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Tempus AI Inc.

Tempus AI reports Q4 and Full Year 2024 Results with strong revenue growth

| 8-K |Healthcare

Summary

Tempus AI, Inc. reported financial results for Q4 and Full Year 2024, highlighting year-over-year revenue growth of 35.8% in Q4 and 30.4% for the full year. The company's genomics segment revenue grew by 30.6% year-over-year in Q4 and 24.4% for the full year, while the data and services segment saw growth of 44.6% in Q4 and 43.2% annually. Tempus ended 2024 with a Total Remaining Contract Value of $940 million and a net revenue retention rate of 140%. The company closed the acquisition of Ambry Genetics on February 3, 2025, and has increased its revenue guidance to $1.24 billion for 2024, anticipating full-year 2025 Adjusted EBITDA of approximately $5 million.

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General Statement Regulation FD Disclosure No viable tag

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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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