Tempus AI came into this Q3 2026 report on a tear, with the share price up sharply over the past three months. Yet the stock slipped 0.9% to about US$77.80 in the first full session after the numbers. That small pullback masks what actually mattered. Revenue reached US$411.5m and adjusted EBITDA turned positive at US$25.6m, which is a key moment for a business still reporting losses on a basic earnings per share basis.
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Data & Applications jumped 33% on long-term pharma deals. Ask Charlie what makes Tempus AI’s data deals so sticky.
Tempus AI’s core promise is that its data loop is turning into a real business engine, not just a story.
"Every new test and partnership adds more data, making its AI models more valuable and creating opportunities to cross-sell additional products and services. This data moat is what makes the business interesting."
Q3 shows that idea starting to show up in numbers. Diagnostics revenue of US$303.5m and Data & Applications revenue of US$108.1m both moved higher, while adjusted EBITDA swung to a US$25.6m profit. Raised 2026 revenue guidance to about US$1.6b indicates that management expects that loop to continue scaling.
On the flip side, the original worries around leverage, execution, and AI hype need to be checked against this quarter.
"There are still meaningful risks. Tempus carries significant debt, is not yet consistently profitable, and expectations for AI remain high."
The latest figures partly ease, but do not erase, those concerns. Losses narrowed to US$14.9m and basic EPS loss improved to US$0.08, yet profitability is not steady. Personalis remains loss making at the test level and will weigh on margins until reimbursement and volumes improve. With the stock up about 67% over 90 days, expectations still run hot.
Not everyone reads the same price the same way. → See the lower figure this Narrative lands on, and how it gets there.
Tempus AI recently highlighted how sentiment can adjust when reported results align with expectations. The real opportunity could sit in stocks that could be undervalued before the market closes that gap.
That is three of the list. See the full list of 34 companies trading below our fair value estimates →
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