Announcement • May 07
Tempus AI, Inc. Increases Earnings Guidance for the Full Year 2026 Tempus AI, Inc. increased earnings guidance for the full year 2026. For the period, the company expects revenue in range of $1.59 billion to $1.60 billion, which represents ~25% annual growth. Reported Earnings • May 06
First quarter 2026 earnings released: US$0.70 loss per share (vs US$0.40 loss in 1Q 2025) First quarter 2026 results: US$0.70 loss per share (further deteriorated from US$0.40 loss in 1Q 2025). Revenue: US$348.1m (up 36% from 1Q 2025). Net loss: US$125.9m (loss widened 85% from 1Q 2025). Revenue is forecast to grow 16% p.a. on average during the next 3 years, compared to a 9.6% growth forecast for the Life Sciences industry in Europe. Announcement • Apr 21
Tempus AI, Inc. to Report Q1, 2026 Results on May 05, 2026 Tempus AI, Inc. announced that they will report Q1, 2026 results on May 05, 2026 Announcement • Apr 14
Tempus AI, Inc. Launches Automated Active Follow-Up Service Tempus AI, Inc. announced the launch of an automated clinical update service designed to support guideline-concordant care by placing patients on an active follow-up track. This integrated workflow provides clinicians with ongoing therapy monitoring and context-aware notifications seamlessly delivered through Hub, Tempus’ secure, AI-enabled physician portal. Because NCCN guidelines, FDA approvals, and patient context can all evolve rapidly, an initial genomic report can quickly become outdated relative to a patient’s ongoing treatment journey. Tempus is addressing this challenge by automatically surfacing updated therapy recommendations when clinical guidelines change or new therapeutic options emerge—all without requiring a new patient sample. This ensures that patient insights remain as current as the science, supporting evidence-based decision-making throughout the patient’s treatment journey. Announcement • Apr 08
Tempus AI, Inc., Annual General Meeting, May 21, 2026 Tempus AI, Inc., Annual General Meeting, May 21, 2026. Announcement • Apr 01
Tempus AI, Inc. Announces Results from ALERT Trial Tempus AI, Inc. announced results from the ALERT (Addressing undertreatment and heaLth Equity in aortic stenosis and mitral regurgitation using an integrated ehR plaTform) trial, which were recently presented at the American College of Cardiology’s 75th Annual Scientific Session & Expo. The study, conducted in collaboration with Medtronic, found that automated electronic clinician notifications (ECNs) integrated into the electronic health record (EHR) significantly improve the timely evaluation and treatment of patients with significant aortic stenosis (AS) and mitral regurgitation (MR). Valvular heart disease is a leading cause of morbidity and mortality, yet it remains frequently undertreated. For patients with untreated symptomatic severe AS, mortality approaches 50% within just two years. Similarly, untreated severe MR carries a median survival of only five years. The ALERT trial was designed to determine if automated, AI-driven alerts could bridge this critical gap in care delivery. By leveraging the Tempus Next platform, which applies natural language processing to accurately extract findings from echocardiogram reports, the trial enabled real-time detection of significant disease and automatically delivered notifications with site-specific guideline-based care notifications directly to providers. The ALERT trial included 765 clinicians and 2,016 echocardiograms across five U.S. health systems and 35 hospitals. The study met its primary endpoint, demonstrating that automated ECN alerts were superior to usual care in a win ratio analysis (win ratio 1.27; P = .007), meaning patients in the alert group were 27% more likely to be evaluated by the multidisciplinary heart team or receive a valve intervention than those in the usual care group. By delivering actionable data directly to providers, the system facilitated a 40% relative increase in life-saving valve procedures (13.4% vs. 9.6%) and a 27% increase in multidisciplinary heart team evaluations (22.7% vs. 17.9%) within just 90 days. These alerts effectively reduced clinical inertia, prompting earlier specialist referrals and ensuring patients received interventions within established benchmarks for timely care. Beyond clinical efficiency, a central objective of the ALERT trial was to confront the persistent disparities that leave women, older adults, racial and ethnic minorities, and rural residents at higher risk of being undertreated. These findings suggest that EHR-integrated clinical decision support can serve as a powerful, scalable 'safety net,' standardizing care delivery to help ensure high-risk findings receive timely action regardless of a patient's demographics or care setting. While the ALERT trial was conducted in collaboration with Medtronic, the automated clinician notifications were designed to be device-agnostic to promote standardized care delivery, without requiring providers to use specific Medtronic devices for recommended evaluations or interventions. Announcement • Mar 11
Tempus Ai, Inc. Announces the Publication of A New Study in Jco Precision Oncology Tempus AI, Inc. announced the publication of a new study in JCO Precision Oncology highlighting how advanced features of comprehensive genomic profiling (CGP) expand treatment options for cancer patients in community oncology settings. The study, conducted in collaboration with The Oncology Institute (TOI), reveals that features such as tumor-normal matched sequencing, RNA sequencing, and liquid biopsy reflex identify actionable findings that are missed by more limited standard in-network testing. While organizations like ASCO and the NCCN strongly advocate for CGP to guide precision therapies, current guidelines often lack specificity regarding the exact composition or essential features required within these panels. This research demonstrates that CGP value extends far beyond simple panel size, highlighting the utility of advanced testing features to more fully capture clinically relevant findings. In the study, 12% (approximately 1 in 8) of patients across the pilot and expanded cohorts had potentially actionable findings associated with an approved therapy identified solely through advanced Tempus features—such as tumor-normal matching, RNA sequencing, and liquid biopsy reflex testing—that would otherwise have been missed by less comprehensive tests. Recent Insider Transactions • Feb 26
Executive VP recently sold €969k worth of stock On the 20th of February, Andrew Polovin sold around 19k shares on-market at roughly €50.73 per share. This transaction amounted to 58% of their direct individual holding at the time of the trade. This was the largest sale by an insider in the last 3 months. Insiders have been net sellers, collectively disposing of €16m more than they bought in the last 12 months. Reported Earnings • Feb 25
Full year 2025 earnings released: US$1.41 loss per share (vs US$6.23 loss in FY 2024) Full year 2025 results: US$1.41 loss per share (improved from US$6.23 loss in FY 2024). Revenue: US$1.27b (up 83% from FY 2024). Net loss: US$245.0m (loss narrowed 67% from FY 2024). Revenue is forecast to grow 18% p.a. on average during the next 3 years, compared to a 9.3% growth forecast for the Life Sciences industry in Europe. Announcement • Feb 18
Tempus AI, Inc. Announces Novel Pan-Cancer HRD-RNA Algorithm Tempus AI, Inc. announced the launch of its new HRD-RNA algorithm. This next-generation model represents a significant improvement in identifying Homologous Recombination Deficiency (HRD), providing a more robust, functional assessment of tumor biology compared to traditional static DNA-based assays. Tempus HRD-RNA is an AI-driven, 1,660-gene logistic regression model designed to identify patients likely to respond to platinum-based chemotherapy or PARP inhibitors. Unlike traditional DNA tests that analyze static "genomic scars"--which may persist even after a patient develops drug resistance--this RNA-based approach provides a dynamic, real-time assessment of a tumor's functional status. By analyzing gene expression rather than structural DNA damage, the algorithm can detect HRD in patients and cancer types where genomic scarring is rare or difficult to identify. This advanced methodology allows the model to capture HRD status in patients who might be missed by DNA-based assays, significantly expanding the population that can be identified for potentially life-saving therapies. A real-world validation study demonstrates that HRD-RNA positive metastatic pancreatic patients treated with first line platinum-based regimens showed a significant reduction in mortality risk compared to those receiving non-platinum first line therapies. These findings, including the complete supporting data, will be published later this year. HRD-RNA is currently available for research use only in the detection of HRD status within solid tumor patient populations and for the identification of patients likely to respond to platinum regimens or PARP inhibitor therapy. Clinical availability is expected later this year. Announcement • Feb 10
Tempus AI, Inc. to Report Q4, 2025 Results on Feb 24, 2026 Tempus AI, Inc. announced that they will report Q4, 2025 results on Feb 24, 2026 Announcement • Jan 27
Tempus Ai, Inc. Reveals Its AI-Driven IPS Test More Accurately Predicts Immunotherapy Benefit Compared to Conventional Biomarkers Tempus AI, Inc. announced results from a new study demonstrating that its algorithmic test, Immune Profile Score (IPS), more accurately predicts outcomes for patients receiving immune checkpoint inhibitors (ICIs) than conventional biomarkers, including tumor mutational burden (TMB) and microsatellite instability (MSI), and PD-L1. IPS is a multimodal biomarker that combines known and novel clinical and immune-related biomarkers from DNA and RNA analysis to predict a patient's response to ICI-based therapy. The new clinical validation results demonstrate that IPS consistently outperforms conventional biomarkers, highlighting its potential to change the way physicians can identify patients most likely to benefit from immunotherapy. In four independent validation cohorts of pan-cancer metastatic solid organ cancer patients, IPS was shown to be a more accurate predictor of ICI outcomes (HR=0.45) than TMB, MSS, and PD-L1, demonstrating prognostic utility that is independent of those conventional biomarkers. IPS identified 13% of patients with microsatellite stable colorectal cancer who demonstrated strong real-world overall survival with ICI treatment (HR=0.2), indicating that ICI immunotherapy may be a viable option for a key patient population that might have been overlooked with conventional biomarkers alone. Beyond colorectal cancer, the study's findings highlight how IPS could expand treatment options for patients with rare cancers. IPS classified 17% of patients with rare metastatic solid tumors as "IPS-High," despite these patients not falling within a cancer-specific FDA-approved ICI label. The significant difference in median real-world overall survival in "IPS High" versus "IPS-Low" patients (HR=0.26) shows that ICI could be a relevant and potentially life-saving option for patients that might otherwise be missed. The test is available as an add-on for clinicians ordering Tempus' xT (DNA) and xR (RNA) assays, helping to manage patients on immunotherapy by utilizing data already collected as part of a patient's standard sequencing. Breakeven Date Change • Jan 26
Forecast to breakeven in 2028 The 14 analysts covering Tempus AI expect the company to break even for the first time. New consensus forecast suggests the company will make a profit of US$12.0m in 2028. Average annual earnings growth of 50% is required to achieve expected profit on schedule. Announcement • Jan 21
Tempus AI, Inc. Announces the Launch of Paige Predict Tempus AI, Inc. announced the launch of Paige Predict, a suite of cutting-edge digital pathology applications that analyze hematoxylin and eosin (H&E) whole slide images to help inform testing decisions. The AI-powered solution is designed to predict the likely presence or absence of clinically actionable and relevant biomarkers directly from a single H&E slide, offering physicians insights even when tissue samples are insufficient for full molecular profiling. As the demand for next-generation sequencing (NGS) and immunohistochemistry (IHC) testing grows, so does the challenge of limited tissue availability. When a sample is "quantity not sufficient" (QNS), patients can face delays of days or weeks for testing results, waiting for repeat biopsies or alternative testing, ultimately prolonged uncertainty and potentially impacting treatment options. Paige Predict's ability to use an H&E image to identify biomarkers that are more or less likely to be present in the specimen can be used by clinicians to inform the sequence in which they will order confirmatory tissue-based tests, maximizing the likelihood of receiving an actionable result before exhausting tissue. Leveraging Tempus and Paige's intelligent digital pathology platform and proprietary AI products, Paige Predict identifies critical biomarker information from even scarce amounts of tissue and analyzes H&E images to predict the likelihood of 123 biomarkers and oncogenic molecular pathways in 16 cancer types, including NSCLC, prostate, breast, pancreatic, colorectal, and more. Results are automatically delivered with the clinical report to ordering physicians. Paige Predict was built using Paige's foundation model and a combined, multimodal cohort from Tempus and Paige, which contains de-identified data on over 200,000 patients. The model has been rigorously validated to demonstrate performance, generalizability and robustness across multiple, diverse datasets, including a large-scale cohort from Tempus. Breakeven Date Change • Jan 01
Forecast to breakeven in 2028 The 14 analysts covering Tempus AI expect the company to break even for the first time. New consensus forecast suggests the company will make a profit of US$17.7m in 2028. Average annual earnings growth of 44% is required to achieve expected profit on schedule. Announcement • Dec 09
Tempus AI, Inc. Announces Ten Abstracts Accepted for Presentation at the 2025 San Antonio Breast Cancer Symposium Tempus AI, Inc. announced that ten abstracts have been accepted for presentation at the 2025 San Antonio Breast Cancer Symposium (SABCS). The meeting takes place December 9-12 at the Henry B. Gonzalez Convention Center in San Antonio, Texas. Tempus will highlight its latest scientific and clinical research findings via ten poster presentations: Integrative Modeling of Multimodal Real-World Data for Improved Risk Stratification of First-Line CDK4/6 inhibitor plus endocrine treatment and identify predictors of response. This study demonstrated that multimodal real-world data collected during routine care can provide valuable insights into the biology of response to CDK4/6 inhibitors in patients with metastatic breast cancer and help improve patient stratification. Distinct Transcriptional and Immunosuppressive Microenvironment Signatures in PIK3CA-mutant Hormone Receptor Positive (HR+)/HER2- Metastatic Breast Cancer (MBC). Date/Time: December 10, 2025, 12:30 p.m. - 2:30 p.m. CDT. Presentation Number: PS1-11-08. Summary: This study compared transcriptomic and immune profiles in HR+/HER2- metastatic breast cancer across wild-type, PIK3CA-mutants, ESR1-mutant, and co-mutant groups. SFRP2 downregulation was specific to ESR1-mutant tumors, while SCGB2A2 was robustly upregulated in PIK3CA- mutant and co-mutant tumors, suggesting its potential as a diagnostic and therapeutic target. Immune analysis revealed increased M2 macrophages and regulatory T cells in PIK3CA- mutualant and co-mutant tumor, with the most pronounced immunosuppressive microenvironment in PIK3CA-Mutant cases. A notable percentage of patients with localized and de novo metastatic disease displayed TMB high status and/or PD-L1 positivity. Additionally, TMB-high and PD-L1 positive patients with de novo metastatic disease treated with first-line chemotherapy or anti-HER2 therapy had significantly worse real-world overall survival (rwOS), suggesting a potential therapeutic benefit of incorporating immunotherapy into the treatment paradigm, in both localized and metastatic disease settings. Furthermore, observed ethnic HLA polymorphisms in the cohort may contribute to differences in outcomes and could potentially guide the development of population-specific immunotherapeutic strategies. Real-World Data (RWD) Outcome Analysis of ESR1 Mutation Emergence in HR+/HER2 - Metastatic Breast Cancer through the Continuum of Standard of Care Hormonal Therapy. Date/Time: Friday, December 12, 2025, 12:30p.m. - 2:00 p.m. CDT, Presentation Number: PS5-05-02. Summary: This large multimodal RWD outcome analysis from longitudinal molecular surveillance testing (xF) in HR+/HER2. mBC patients treated with AI+CDK4/6 inhibitor (ER)-Positive/Human Epidermal Growth Factor Receptor 2 (HER2)-Negative Metastatic Breast Cancer. Date/Time: December 12, 2025, 12; 12:30 p.m., 2:00 p.m., CDT and Presentation Number: PS5.05-02; Summary: This large multimodAL RWD outcome analysis from longitudinal Molecular surveillance testing (xF)in HR+/HER2- mBC pts treated with AI+ CDK4/6 inhibitors treated with AI+CDK 4/6 inhibitor plus end endocrine treatment and resistance. These insights are essential for pinpointing patient populations who may benefit from novel therapies and for optimizing treatment strategies to ultimately improve outcomes for those with advanced disease. Recent Insider Transactions • Nov 26
Co-Founder recently sold €7.9m worth of stock On the 20th of November, Eric Lefkofsky sold around 130k shares on-market at roughly €60.21 per share. This transaction amounted to less than 1% of their direct individual holding at the time of the trade. This was the largest sale by an insider in the last 3 months. Eric has been a net seller over the last 12 months, reducing personal holdings by €206m.