Workflow
oncology foundation model
icon
Search documents
TEM Shares Surge on New AI Breakthrough: Should Investors Jump In?
ZACKSยท 2025-07-17 20:01
Core Insights - Tempus AI (TEM) experienced a 7.3% increase in stock price after receiving FDA 510(k) clearance for its ECG-Low EF software, marking its second AI tool approved in cardiology [1] - The company reported a 75% increase in revenues and nearly doubled gross profit in Q1 2025, alongside a $200 million foundation model deal with AstraZeneca and Pathos [1][8] Stock Performance - Over the past three months, TEM stock surged by 48.3%, significantly outperforming the Medical Info Systems industry (11.9%) and the Medical sector (1%) [2] - The S&P 500 index rose by 18.7% during the same period, indicating strong relative performance for Tempus AI [2] Strategic Developments - The FDA clearance for the ECG-Low EF software enhances Tempus AI's clinical diagnostics portfolio, enabling earlier detection of heart failure risks through standard ECGs [5] - A $200 million partnership with AstraZeneca and Pathos aims to develop a large oncology foundation model, increasing Tempus AI's total contract value to over $1 billion [6][8] Revenue Growth - The hereditary testing segment, bolstered by the integration of Ambry Genetics, generated $63.5 million in revenue, reflecting a 23% increase in testing volumes [9] - This growth indicates a successful expansion into inherited disease risk assessment, tapping into a larger market of at-risk individuals [9] Valuation Metrics - The average price target for TEM suggests a potential increase of 19.3% from the last closing price of $66.70 [10] - Currently, TEM is trading at a forward 12-month price-to-sales (P/S) ratio of 7.34, higher than the industry average of 5.56 and peers like iRhythm (5.78) and SOPHiA GENETICS (2.80) [13] Long-term Outlook - Despite impressive momentum and growth, the stock's high valuation relative to peers suggests a cautious near-term approach [14] - Long-term fundamentals remain strong, with ongoing innovation and execution in diagnostics, data licensing, and AI platform development [16]