TEMNasdaqServices-Computer Programming, Data Processing, Etc.US GAAP · USD

Tempus AI, Inc.

Tempus AI, Inc. is a U.S.-based healthcare technology company that combines diagnostic testing with data and software products for clinical and research use. Its business centers on genomics testing, de-identified data licensing, clinical trial matching, and AI-enabled applications built around a large clinical and molecular dataset.

Revenue1,272m USD
+83.4 %y/y
Operating profit (EBIT)-253m USD
+63.4 %y/y
EBIT margin-19.9%
+79.8 ppy/y
Net income-245m USD
+65.3 %y/y
Free cash flow-239m USD
−13.2 %y/y

Fiscal year 2025 · change from previous year

Development 2022–2025

-1,000-50005001,0001,500m USD2022: 321 m USD2022: EBIT -265 m USD20222023: 532 m USD2023: EBIT -196 m USD20232024: 693 m USD2024: EBIT -691 m USD20242025: 1,272 m USD2025: EBIT -253 m USD20251,272-253
RevenueOperating profit (EBIT)

Business

Share of revenue
Genomics / Diagnostics75 %

Laboratory testing services including oncology, PCR profiling, hereditary cancer risk, and rare-disease profiling.

Data and Services25 %

De-identified data licensing, analytical services, and clinical trial matching for biopharma customers.

AI Applications / Next0 %

AI-driven applications that route patients to therapy options and support clinical and research workflows.

Products

Reported · share of revenue
75.1%20.3%FY2025100 %
  • Diagnostics75.1 %
  • Insights Product20.3 %
  • Trials Product3.0 %
  • AI Applications1.6 %

Source: 10-K FY2025, revenue the company reports per product line (SEC XBRL). Shares are of the lines shown and add up to 100 %.

Customers

Tempus sells primarily to healthcare providers and life sciences companies. Physicians, hospitals, genetic counselors, academic centers, and research institutions buy testing and clinical tools, while pharmaceutical and biotechnology companies buy data, trial-matching, and analytical services to support drug development and research.

Healthcare providers

Physicians, hospital systems, and genetic counselors buy genomics tests and clinical tools to support diagnosis and treatment decisions.

Pharmaceutical companies

Drug makers license de-identified data and use trial-matching services to improve research, development, and patient recruitment.

Biotechnology companies

Biotech customers buy data, analytics, and matching services to support discovery and clinical development programs.

Academic and research institutions

Universities and research centers use testing and datasets for translational research and clinical studies.

Strategy

Tempus focuses on expanding adoption across both product lines by increasing use among existing customers and adding new ones. Its strategy is to deepen the value of its data platform, launch additional AI-enabled products, and use network effects between diagnostics and data to strengthen customer retention and product performance.

Increase adoption across existing customersShort term

Higher utilization and upsell activity improve monetization of the installed base and strengthen retention.

Launch and commercialize new AI productsMedium term

New applications extend the platform and create additional monetization paths from the same underlying data asset.

Deepen network effects from data accumulationLong term

More clinical and molecular data can improve test performance and make the platform more valuable to researchers and clinicians.

Geography

Tempus is primarily a North American business, with the majority of revenue generated in North America. The company also conducts business in foreign jurisdictions, but the disclosed reporting emphasizes the U.S. base and North American concentration rather than a broad global footprint.

Risks

Tempus depends on continued access to de-identified patient data, customer renewals, and successful commercialization of AI and diagnostic products. It also faces competition from established diagnostics, data, and clinical research providers, while reimbursement, regulatory, privacy, and AI-related risks can affect adoption and monetization.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Customer renewal and contract concentration risk1Dependence on de-identified patient data2AI model and data governance risk3Reimbursement and payer coverage risk4Competitive pressure from established providers5
Impact is the risk’s severity and likelihood how probable it is over the next few years, both assessed from the company’s reports. Numbers match the list.
  1. Customer renewal and contract concentration riskImpact: HighLikelihood: Medium

    Data and services revenue depends on renewals and expansion of existing agreements, and a few customers can represent a meaningful share of revenue.

    Exposure: Data and applications product line

  2. Dependence on de-identified patient dataImpact: HighLikelihood: Medium

    The platform’s value and monetization depend on continued access to large datasets and the ability to use them commercially.

    ExposurePlatformData licensingAI training
  3. AI model and data governance riskImpact: HighLikelihood: Medium

    AI products can create liability or reputational harm if outputs are inaccurate, biased, or based on improperly used data.

    ExposureAI ApplicationsNextAlgos
  4. Reimbursement and payer coverage riskImpact: HighLikelihood: Medium

    Diagnostics adoption depends on coverage and reimbursement decisions by commercial and government payers.

    Exposure: Genomics / Diagnostics

  5. Competitive pressure from established providersImpact: MediumLikelihood: Medium

    Competitors may have greater resources, broader sales forces, or alternative diagnostic technologies.

    ExposureDiagnosticsData servicesClinical trial matching

Accounting

Judgemental items
Revenue recognition by product line

Diagnostics, data licensing, and analytical services may recognize revenue differently, affecting quarterly comparability.

Impact: Mix shifts can change reported growth and margins

Seasonality in data revenue

Data revenue is described as back-weighted toward the second half of the year based on customer budgeting cycles.

Impact: Quarterly results may be uneven and not directly comparable

Business combinations

Acquisitions can create valuation judgments for acquired intangibles, goodwill, and related amortization or impairment risk.

Impact: Can materially affect assets, expenses, and future impairment charges

Deferred tax valuation allowance

Management maintains a full valuation allowance on U.S. deferred tax assets, reflecting realizability judgments.

Impact: Affects reported tax benefit and effective tax rate

Debt and convertible note accounting

Interest expense, extinguishment gains/losses, and embedded features can affect earnings and balance sheet presentation.

Impact: Can create volatility in non-operating results

Publicly listed companies with a comparable business focus.

Last updated: 24/09/2026

Tempus AI, Inc. (TEM) Revenue, Earnings & Financials 2025 – Clarifo