Analyst Ratings February 17, 2026

Baird Starts Coverage of Tempus AI With Outperform, Sees Modest Upside as Firm Highlights Data-and-AI Strategy

Analyst initiation pairs an Outperform rating and $59 price target with a Speculative Risk label, while company reports strong contract growth and launches AI pathology tool

By Ajmal Hussain TEM
Baird Starts Coverage of Tempus AI With Outperform, Sees Modest Upside as Firm Highlights Data-and-AI Strategy
TEM

Baird has begun formal coverage of Tempus AI Inc (NASDAQ:TEM), assigning an Outperform rating with a $59.00 price objective, roughly 14% above the current share price of $51.95. The research note accompanies a Speculative Risk designation and comes as Tempus reports preliminary, unaudited commercial milestones including a record total contract value above $1.1 billion and double-digit revenue growth across application and data licensing businesses. Baird cites the company’s therapy selection capabilities and differentiated use of data and AI as reasons for the positive view, and frames the recent share pullback as a buying opportunity.

Key Points

  • Baird initiated coverage on Tempus AI with an Outperform rating and a $59.00 price target, implying roughly 14% upside from $51.95; the firm also assigned a Speculative Risk designation.
  • Tempus reported preliminary, unaudited results: record total contract value exceeding $1.1 billion as of December 31, 2025; application revenue of about $316 million for the year, up 31% year over year; and Insights data licensing revenue up 38% year over year.
  • Company developments include the launch of Paige Predict following the 2025 acquisition of Paige, plus multi-year collaborations with NYU Langone Health and Northwestern Medicine; the IPS test showed stronger immunotherapy outcome prediction than conventional biomarkers in a clinical validation study.

Overview of coverage initiation

Baird has opened formal coverage of Tempus AI Inc (NASDAQ:TEM) with an Outperform rating and established a $59.00 price target. That price goal implies approximately 14% upside from the reference share price of $51.95. The firm also applied a Speculative Risk designation to the company alongside the Outperform rating.

Market context for the stock

Tempus shares have declined by more than 7% over the past week and are trading well below their 52-week high of $104.32. Baird characterizes the recent decline in the share price as creating a buying opportunity given its view of the company’s positioning.

Business model and revenue mix

Tempus AI operates as a commercial-stage precision medicine company that pairs molecular information with artificial intelligence capabilities. The company’s Genomics segment provides the bulk of its revenue, with a concentration in oncology testing. Tempus’s Data and Services segment primarily earns revenue through licensing de-identified data to pharmaceutical and biotechnology customers.

Baird’s perspective

In its initial rating, Baird signaled that it views Tempus as having built an attractive franchise for therapy selection and taking a differentiated approach to combining data and AI. The firm’s initiation note says the combination of those capabilities and the recent stock pullback underpins its Outperform stance, while the Speculative Risk label signals elevated uncertainty inherent to the company’s profile.

Recent company disclosures and commercial milestones

Tempus disclosed preliminary, unaudited results showing a record total contract value exceeding $1.1 billion as of December 31, 2025. The company reported application revenue of roughly $316 million for the full year, a year-over-year increase of 31%. Its Insights segment, which centers on data licensing, grew at an even faster pace, rising 38% year over year.

Product and partnership developments

Following its 2025 acquisition of Paige, Tempus launched Paige Predict, an AI-driven digital pathology solution designed to infer biomarkers from H&E whole slide images. The tool is intended to support clinical decision-making in cases where tissue samples are limited.

Tempus also announced a multi-year strategic collaboration with NYU Langone Health focused on molecular profiling and data analysis. That partnership will support NYU Langone’s Center for Molecular Oncology in starting a study titled "Serial Molecular Profiling and Monitoring of Human Cancer." Separately, Tempus and Northwestern Medicine are collaborating to broaden genomic testing availability for cancer patients across Northwestern Medicine’s network.

Clinical validation

In addition to commercial and partnership news, Tempus reported clinical validation results showing that its Immune Profile Score, or IPS test, more accurately predicts patient outcomes for immunotherapy than conventional biomarkers in a recent study.


Implications

The combination of revenue growth in both application and Insights lines, a large contract backlog, product launches such as Paige Predict, and multi-year collaborations with major health systems are the facts central to Baird’s initiation. The Speculative Risk designation and the preliminary, unaudited nature of some disclosures are also core elements of the current picture.


Bottom line

Baird’s first formal coverage of Tempus pairs optimism about the company’s therapy selection franchise and data-and-AI approach with a cautious risk classification. The research house views the recent share weakness as an entry point, while the company continues to report contract and revenue momentum and to expand its AI-enabled product set and institutional collaborations.

Risks

  • Baird assigned a Speculative Risk designation to Tempus, indicating elevated uncertainty tied to the company’s profile - this impacts healthcare and biotech investors.
  • The company’s recent share price decline of more than 7% over the past week and its trading well below the 52-week high point to market volatility and investor sensitivity in the healthcare technology space.
  • Some of Tempus’s reported commercial milestones are described as preliminary and unaudited, which introduces additional uncertainty around the figures and could affect investor assessments in the life sciences data and AI sectors.

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