Tempus AI Q1 2026 Earnings Call - Data Licensing Revenue Surges 40% as Pharma Shifts to AI Model Partnerships

Casey Woodring, Analyst, J.P. Morgan1: Ladies and gentlemen, thank you for standing by. At this time, I would like to welcome everyone to the Tempus AI 1st quarter 2026 financial results conference call. All lines have been placed on mute to prevent any background noise. After the speaker’s remarks, there will be a question and answer session. If you would like to ask a question during this time, simply press star followed by the number 1 on your telephone keypad. I will now turn the conference over to Lee Scruton-Hollo. You may begin.

Lee Scruton-Hollo, Investor Relations, Tempus AI: Thank you. Good afternoon. Welcome to Tempus’ first quarter 2026 conference call. This afternoon, Tempus released results for the quarter ending March 31st, 2026. The press release and overview of the quarter and our latest presentation are available on our IR website. Joining me today from Tempus are Eric Lefkofsky, Founder and CEO of Tempus, and Jim Rogers, CFO. Before we begin, I would like to remind you that during this call, management may make forward-looking statements that are subject to risks and uncertainties that could cause actual results to differ materially. For a discussion of these risks, please refer to our 10-K and other subsequent filings with the SEC. During the call, we will discuss non-GAAP financial measures, which are not prepared in accordance with generally accepted accounting principles.

Definitions of these non-GAAP financial measures, along with reconciliations to the most directly comparable GAAP financial measures, are included in our earnings release, which is available on our IR page. I would now like to turn the call over to Eric.

Eric Lefkofsky, Founder and CEO, Tempus AI: Thank you. Welcome, everybody. We had a great quarter. Revenue was $348.1 million, up a little over 36% year-over-year. Our diagnostic revenue was $261.1 million, representing almost 35% growth, driven by particular strength in our oncology business, which had unit growth of about 28%. It was strong across the board with our solid tumor and liquid biopsies performing well and our MRD volume performing even better. Hereditary slowed down a bit, which was to be expected given that we’re lapping some extreme growth rates from a year ago. We expect that business to return to mid-teens in the second half of the year. Our data and applications business did extraordinarily well.

$87 million of revenue representing 40.5% year-over-year growth, with particular strength in our data licensing and modeling business insights, which grew over 44%. This is our third straight quarter of bookings north of $100 million, with TCV rising and visibility in the best place it’s been for our data and apps business in quite some time. All in the business is doing extremely well. Our main businesses are performing at or above plan. We’re on track for a great year. As a result, increased our guidance to now a range of $1.59 billion-$1.6 billion for the year, with adjusted EBITDA of about $65 million. With that, happy to take questions.

Casey Woodring, Analyst, J.P. Morgan1: Thank you. As a reminder, to ask a question, you will need to press star, then the number 1 on your telephone keypad. If you would like to withdraw your question, press star 1 again. We do request for today’s session that you please limit to 1 question only. Your first question comes from the line of Kallum Titchmarsh with Morgan Stanley. Your line is open.

Kallum Titchmarsh, Analyst, Morgan Stanley: Great. Thanks for the question, guys. Eric, I wanted to start with insights, just given some of the recent updates. Can you maybe just talk about how discussions with large pharma customers have been trending so far this year, particularly as interest in AI appears to be evolving? I’m curious where de-identified data is sitting in their hierarchy of needs. investors are obviously cognizant of contract closing and renewal dates for your larger agreements. really looking for your latest thoughts on, you know, longevity and extension potential here. Thank you.

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah, I mean, I would say that all of our core big data relationships are very strong. We have a long history of renewing these agreements at or above where they historically stood. We feel great about that trend continuing. I think equally important, if not more important, is that we’re adding just some really big new names to that prestigious group. This quarter alone, we added Merck, who signed a very large strategic collaboration with us. We expanded our relationship with Gilead. We’re in late stages on others. We just have a really strong and robust pipeline.

As I called out in the letter, you know, it’s First of all, I don’t think anyone thought our data business and modeling business would get to this scale, would be growing this quickly at this scale or would be this durable. One of the, to me, one of the most amazing parts about it is to get to these very large levels where, you know, people are signing $100 million plus agreements with you to license your de-identified data over multiple years. It would be, I think, you know, pretty impressive to do that with one pharma, even more impressive with two. We now have almost half a dozen folks at that level where people are signing these very large strategic agreements with more coming.

I would suspect over time, that becomes the vast majority of all big biotech and big pharma. We’re seeing this migration where people aren’t just licensing our data. More and more, they’re actually building models with us, whether those are foundation models, as is the case with AstraZeneca, or they’re building smaller models leveraging our data. We have a very large database now in excess of 500 petabytes of data. It’s all connected to this analytics and model building platform that’s now connected to not just CPUs, but GPUs. People are increasingly building proprietary models to get smarter about their own internal R&D programs, and that trend seems to be up into the right.

Casey Woodring, Analyst, J.P. Morgan1: Your next question comes from the line of Ryan MacDonald with Needham. Your line is open.

Casey Woodring, Analyst, J.P. Morgan0: Hey, thanks for taking the question. This is Matthew Shea on for Ryan MacDonald. Eric Lefkofsky, maybe just jumping off on that last question, is there anything in terms of either the recent Gilead or Merck deal that you would call out in terms of size or scope that’s maybe different from some of your other strategic collaborations or just anything notable to call out with those two wins in particular? Jim Rogers, as we layer the Merck and Gilead wins on top of the $350 million of TCV that was already earmarked for revenue in 2026, how much visibility and confidence do you have in hitting the implied $410 million of data revenue guidance, and what are the potential levers for upside there?

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah, I can start. Merck was a very large strategic data and modeling collaboration. We have very large collaborations with people like AstraZeneca and GSK and BMS. It’s another very large collaboration of that magnitude. It’s unique in that there’s only so many of these that we have, but it’s, as I mentioned a minute ago, you know, far more than others. It’s just nice to see people getting to that size and scale where they’re really leaning in a strategic level with dedicated teams and lots of data and broad access and, you know, AI model building and all the great stuff that you want to see for a long-term sticky relationship. Gilead is a bit, you know, it’s a bit different.

It’s quite large, smaller than Merck, but quite large. What’s cool about it is it represents a very significant step up from their historic levels. We’re monitoring here two things, right? We wanna obviously get to a point where we’ve got, you know, $100+ million agreements with as many big pharma as we can, big biotech. We also wanna see the growth of these accounts because we typically don’t get to that strategic level up front. It takes us time. We have to, as we’ve talked about historically, we tend to start with one project, maybe in one subtype, and then we’re doing a few subtypes and a few different projects.

Eventually people realize they can use our data to be far more intelligent in terms of which compounds they actually want to interrogate, how they design phase I and phase II trials for the greatest likelihood of success, how they ultimately enroll patients and make sure their product is fit for commercial viability. They’re using our data across that entire spectrum and it takes time to get people comfortable, and so it’s nice to see someone like Gilead stepping up in such a big way from their historic levels.

Jim Rogers, Chief Financial Officer, Tempus AI: Yeah. In terms of the visibility, obviously, we mentioned on the year-end call that, you know, we had about $350 million of TCV that was related to 2026. That gave us a tremendous amount of visibility into kind of the guide. On top of that, we had visibility into a very strong pipeline. Merck and Gilead are obviously part of that pipeline that closed in the first quarter. That increases the level of visibility, and the pipeline remains strong as well as Eric noted. You know, the insight business is really performing incredibly well at this stage. We’ve never been at this point in the year with this level of visibility into kind of the overall number.

It’s exciting for 2026, but also for 2027 and beyond. As Eric noted, our TCV actually increased in the first quarter, which is incredibly impressive considering, you know, you’re delivering $80+ million of revenue that you’re still growing kind of that backlog that will contribute to revenue for the balance of the year and over the next several years to come.

Casey Woodring, Analyst, J.P. Morgan1: Your next question comes from the line of Subbu Nammi with Guggenheim. Your line is open.

Casey Woodring, Analyst, J.P. Morgan2: Hey, guys. Thank you for taking my question. 1 for Jim. Are there any updates on your xF FDA submission? I know it was reiterated that it was submitted, but any realistic timeline for an ADLT pricing update on this test? Second, could you break down for us what percentage of your data licensing comes primarily from oncology and what has come from other areas like Rare Disease, cardiovascular? Longer term, where do you see that mix shaping out?

Jim Rogers, Chief Financial Officer, Tempus AI: Thanks, Subbu, I’ll start with the FDA submissions, then Eric can take the question on kind of the data breakdown. kind of I’d say no update on the xF submission that was made earlier this year. We’re awaiting feedback there. As we previously noted, we don’t expect that to have any impact on pricing or ASPs in 2026. The other thing that we called out in our letter relates to an amendment that we’re making to our xT FDA-approved assay or the submission. We submitted an amendment there that will cover tumor only, so cases where we no longer get or we don’t get a normal sample.

That will allow us to kind of accelerate the migration over to the ADLT version of the assay. We’re expecting a decision there kind of imminently. Those are the two big updates or one big update from an FDA standpoint. Eric?

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah. In addition to driving ASP higher on the diagnostic side, on the data side, the vast majority of our data licensing today is oncology and almost entirely, if not entirely, comes from our therapy selection business. We, you know, we built a de-identified data business off of the combination of matched clinical molecular data, predominantly from therapy selections, so our liquid biopsy test, our solid tumor profiling test, and that database, which sits at over 500 petabytes, drives the vast majority of our data business. It has been nice to watch some recent wins in neurology and in particular, we were just engaged to begin building a multimodal model on Alzheimer’s disease.

That was a multi-million-dollar project that we’re in the middle of right now that we’ll finish up the middle of this year. We do have people that are starting to tap the database in other areas, but I think for us, that represents really significant long-term growth drivers. We can see the data business in the especially the data and modeling business in the U.S. getting to, you know, $ multi-billion. I would suspect as we get into other disease areas, there’s, you know, all kinds of opportunity there, just in the U.S. alone, let alone international. Lots of leg room.

Casey Woodring, Analyst, J.P. Morgan1: Thank you, guys.

Next question comes from the line of Dan Brennan with TD Cowen. Your line is open.

Dan Brennan, Analyst, TD Cowen: Great. Thank you. thanks for the questions. Maybe just one on cash flow in the quarter. Just, you know, how do we think about, you know, cash flow from operations was down about $70 million plus or minus. I think you guys said free cash would kind of approximate EBITDA, which was, I think, a $3 million loss. How do we think about the progression of kind of free cash as we go through the year? Maybe just one related or actually unrelated, apologize, you know, you’ve got xT FDA approved, you’re gonna seek to get xT- xR FDA approved.

Does that change at all, you know, the ability to bill both of those separately, you know, to your local MAC if whatever reason jurisdiction changes and you have both of those FDA approved, like, how do we think about, you know, the durability of that going forward? Thank you.

Jim Rogers, Chief Financial Officer, Tempus AI: Yeah, I’ll take the first one and then Eric can take the second one. In terms of free cash flow, was a little bit elevated in Q1, which is pretty typical for us over the last couple years. A few things kind of going on. One is just timing of payables plus kind of bonuses get played out in Q1. As we note in the letter, we would anticipate kind of a significant improvement in Q2, driven by, one, normalization of those payables, but then two, a number of our large insights contracts that kind of had prepayments or deferred revenue that were burning down, kind of flip over to quarterly payments. Again, we would anticipate significant improvement in the second quarter, and then from there, just continued improvement as adjusted EBITDA improves.

With that, I’ll turn it to Eric for the second one.

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah, we’re in a good spot in that, given that we’re expecting to generate about $65 million of positive EBITDA with every quarter significantly improving performance. We now have, I don’t even know, 5, 6, 7, 8 quarters in a row of every quarter improving EBITDA pretty dramatically on a year-over-year basis. We feel great about our cash position. We don’t need more cash. We don’t need to do anything. For us at this point, the quarterly fluctuations of cash flow aren’t that critical. We’re gonna generate cash, we’re gonna be EBITDA positive. We don’t need alternative financings in terms of like funding the business. At this point, we’re in a pretty good spot.

As it relates to XT, XR, and XF, I would suspect that over time, all of our main assays are FDA-approved. We have one approved today, which we’re expanding, as Jim mentioned, in solid tumor profiling. We have another that’s in front of the FDA now in liquid biopsy. We’ll take RNA to them as well. I don’t think these things will impact how the tests are ultimately ordered or billed. They’re ordered and billed on an individual basis and based on medical necessity. When they’re ordered and billed, they get paid for how they get paid for. We do believe that ASPs are likely to rise for years by virtue of the fact that our current ASP sits at around $1,740 or something like that, somewhere in that range, $1,720.

We would suspect there’s about $500 worth of incremental ASP lift over the next, you know, year or two as we get all these things FDA approved. From everything we can see, nothing about the current trend is anything but significantly positive.

Casey Woodring, Analyst, J.P. Morgan1: Next question comes from the line of Bradley Bowers with Mizuho. Your line is open.

Bradley Bowers, Analyst, Mizuho: Great. Thank you for the question. Just maybe wanted to get to oncology genomics trends. I feel like we see, you know, maybe some more news headlines from competitors just on companion diagnostic status wins. I just wanted to think about the impact to Tempus, kind of as therapy selection gets more widely, you know, formally included into labels as diagnostic, you know, companions to pharmaceuticals. Maybe just an update on, you know, what inning of adoption we’re in on therapy selection and, you know, is there still rising tides for, you know, all companies or do you know, maybe need some more formal partnerships to keep driving that 20% volume growth, you know, on that business? Appreciate it.

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah, I mean, we have seen no I mean, CDXs have been part of therapy selection for years. There are many of them. They’ve had no impact on physician ordering in the U.S. at least, by virtue of both how drugs are paid for in the U.S. and how the diagnostic tests are ordered. In other markets where you can’t get the drug without that particular companion being ordered, it may have an impact. In the U.S., we don’t have a system that is set up that way. In fact, the migration’s been the other way, where people have been kind of looking to move away from companions as a precursor to ordering.

I would suspect that whether we win more CDXs or not, regardless of who wins CDXs, it won’t have any impact on the amalgamation of companies that represent the vast majority of external sequencing. I would suspect we’ll all be just fine. The differential in growth rates, the fact that we’re growing faster than others or than most others in therapy selection, is predominantly related to the technology platform we built, which is, you know, comprehensive and allows physicians to kind of do their job well, and we see no sign of that slowing down. I think CDXs won’t have an impact on it. In terms of where we are, you know, it still feels to us like we’re, I don’t know, maybe early to the middle of the game in terms of therapy selection.

There’s been some papers published recently that there’s a significant volume of physicians that still aren’t ordering a comprehensive genomic profiling when they’re treating cancer patients. There’s lots of patients historically that haven’t been profiled. I would suspect there’s pretty decent unit volume growth for the industry over the next, let’s say, 3 to 5 years. I think we’ll grow faster because of all the advantages we’ve built into our platform. It does feel like it’s a healthy space in terms of solid tumor profiling, liquid biopsy, and then even healthier on the MRD side, given that it’s still fairly new.

Bradley Bowers, Analyst, Mizuho: Thank you.

Casey Woodring, Analyst, J.P. Morgan1: Next question comes from the line of Kyle Mikson with Canaccord Genuity. Your line is open.

Kyle Mikson, Analyst, Canaccord Genuity: Hey, guys. Thanks for the questions. Can you talk about how important Rare is going to be to the hereditary testing business kind of remaining or getting back to the mid-teens? On that note, can you just elaborate on the growth profile of xG that grew 50% year-over-year in Q1, I think? Thanks.

Eric Lefkofsky, Founder and CEO, Tempus AI: The, I mean, xG, the germline assay for us, the percentages are meaningful, right? It’s small. I mean, our MRD assay grew 500%, but it was only 6,500 a test, so it’s awesome, but the percentages can be a bit misleading. The vast majority of our HCT volume is obviously on the Ambry side, given the amount of volume they do in hereditary. We suspect and because the units are so high, really nothing Rare can do can move the unit volume metric, right? It moves the revenue metric ’cause you get reimbursed significantly more per test, but it’s hard to move the units.

The fact that we expect to get back to mid-teens is a function of the fact that we long called out, or at least, you know, have called out for some time, that we expected that business to kind of be a mid-teens grower. It’s lapping periods of much higher growth last year when that assay was growing at, like, 40%. It’s just, it’s a bit lumpy. You know, their growth has been lumpy, when you’re lapping periods of lumpy growth, it’s still lumpy. I suspect as we get into the back half of the year, the growth rates will return to kind of mid-teens. I think Rare will also do well. We had a slower start to the first half of this year.

I think as GeneDx called out, they’ve migrated a bunch of volume to whole genome, which has some ASP impact for them. We were a bit later to actually get that product in market, and so for us, it’s been more of a volume issue. We haven’t been selling a bunch of tests. As our product enters market, we expect to have some of the, you know, some of the volumes pick up, and obviously, even at $3,000 or whatever it is ASP, it’s still gonna be ASP accretive to us. I would say the back half of the year looks much better for our hereditary business, as we are lapping slower periods of growth last year, as Rare starts to really take hold.

I would bet that by the end of the year, that business is feeling pretty good.

Casey Woodring, Analyst, J.P. Morgan1: Next question comes from the line of Mark Schappel with Loop Capital Markets. Your line is open.

Mark Schappel, Analyst, Loop Capital Markets: Hi, thank you for taking my question. Eric, it was highlighted in the prepared remarks that roughly you have a 40% attach rate for your algos, I think it was on your solid tumor assays in oncology. I was wondering if you could just break down a little bit further which products are driving, you know, the higher attach rates there, and maybe what gives you confidence of even expanding that within the next 12 months or so.

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah. We have a variety of algorithms that we’ve built over the years. Some of them, for example, are our homologous recombination deficiency algorithm, our Tumor Origin algorithm, where, you know, in about 5% of cancer patients, we don’t know the site of primary diagnosis. We, off of our transcriptomic assay, our RNA assay, we can actually predict that with super high fidelity. We have an Immune Profile Score that basically You know, typically you’d have a litmus test like tumor mutational burden, and if you were TMB high, you’d get a checkpoint inhibitor. If you weren’t, you wouldn’t. That test is not perfect, our Immune Profile Score actually refines that test.

It turns out that there’s a significant population of people that would actually do well on an immunotherapy that don’t get it, and likewise, a population that looks like they’re gonna do they would respond to immunotherapy that doesn’t, so we can predict that. As these algorithms basically get more and more pervasively ordered, they’re just another tool in this overall bag of, you know, kind of technology-enabled assets that our physicians increasingly rely on. They can just do all kinds of things that they can’t do with others. When you look at We called this out years ago.

We said to people, like, "We will experience significant growth rates over time." I think it, you know, a couple of years ago that people were like, "I don’t see it," but, you know, now it’s like years in the rearview mirror. As much as we called out years ago, technology was going to drive a bunch of ordering behavior, I think we’ve just demonstrated that. Physicians are overworked, they’re seeing a ton of patients, they don’t have time in the day to do their job, and those companies that can help them make decisions, analyze real-time data, get to the right answer, so on and so forth, they’re just gonna flock to that platform, no different than you and I flock to Amazon.

If it’s convenient and easy, and I get everything I need, that’s gonna drive my behavior. We don’t see that trend slowing down. In fact, one of the reasons that we entered the MRD space, and one of the reasons we entered the hereditary space, is we actually believe that that will hold true across all major assays in oncology, from is my patient at risk, to how should they treat them when they get disease, to how do I monitor them post-treatment. We wanna be comprehensive, we wanna be, you know, embedded within the workflow, and we wanna help physicians make real-time data-driven decisions, all of which is driving our growth.

Mark Schappel, Analyst, Loop Capital Markets: Thank you.

Casey Woodring, Analyst, J.P. Morgan1: Next question comes from the line of Casey Woodring with J.P. Morgan. Your line is open.

Casey Woodring, Analyst, J.P. Morgan: Great. Thank you for taking my questions. Maybe a related one to Dan’s earlier question, you know, you’re guiding to adjusted EBITDA to hit $65 million this year. This quarter it was negative $3 million. Maybe just walk us through how you see EBITDA progressing over the course of the year and the cadence of gross margins and operating expenses. Secondly, on MRD, just I would be curious to hear your latest thoughts on when you really expect that to start ramping up in terms of volumes. Thank you.

Jim Rogers, Chief Financial Officer, Tempus AI: I’ll start on the adjusted EBITDA, and then Eric can take the MRD question. You know, similar to last year, the phasing will be kind of growing throughout the year. We had about, you know, $13+ million of improvement year-over-year in Q1. We would expect similar trends in Q2. Obviously the back half of the year is a bigger period for data, which leads to kind of expanded margins and more that drops down to the bottom line. As we kind of highlighted at the beginning of the year, we are fortunate that we’re generating a lot of gross profit dollars that allow us to make many of the investments that will allow us to generate long-term growth.

We wanna continue to show improvement in operating leverage, and we feel like we’re set up to do so.

Eric Lefkofsky, Founder and CEO, Tempus AI: In terms of MRD, you know, the growth is really robust. I mean, as we called out, I think, last quarter, we’re generating these kind of results with a very small sales force dedicated to MRD. We have not unleashed this to our entire sales machine, which is hundreds of people. And in part it’s because the unit economics until reimbursement is better and, you know, roughly 97% of our tests are tumor-informed, so Personalis is really carrying the burden of that reimbursement. They have a few indications approved, but they’re in the midst of getting many more.

As they get a more rounded reimbursement package that looks and smells and feels a bit closer to Natera, you know, it’s very hard to kind of unshackle all that volume because we would just be generating massive loss for them. Like, if we dialed it up 10x, their cash burn would go up a lot. We have to meter it, which we’re doing, which we’re doing in close coordination with them. As reimbursement improves over time, you’ll see us continue to roll that out more aggressively. I would suspect if you can just, you know, you can kinda do the math, right? I mean, if we really put a bunch of wood behind this, we would be a very, very formidable MRD player in the U.S.

Casey Woodring, Analyst, J.P. Morgan1: Next question comes from the line of Daniel Arias with Stifel. Your line is open.

Daniel Arias, Analyst, Stifel: Yeah. Hi, guys. Thanks for the questions. Eric or Jim, I’m just looking at your slide deck here, you have one in there that has a slide that talks about expecting 25% top-line growth over the next 3 years. You also have a slide in there, though, that talks about ASP potentially being 30% higher. You know, I know it’s illustrative, and I think the point is really to emphasize the EBITDA trend, but what is either an underlying volume trend or just a revenue trend that kind of takes into account some of these ASP items that we should think about? Is that 25% that you’re talking about inclusive of some ASP increase?

Eric Lefkofsky, Founder and CEO, Tempus AI: Yeah, I mean, we always have puts and takes. I mean, one of the things that’s, I think, great about our business is, if you look at, for those that have been tracking us now for three or four years, I know, you know, it’s like whatever, now we’re going to do, you know, I think our guidance is around $1.6 billion. Like, you know, it shouldn’t be lost on people that three or four years ago we were doing $300 million-$400 million. We were quite small. We’ve had significant growth that we’ve been able to manage. For a long time we’ve called out our guidance. Now we have a small range, historically just a number.

The reason that we can be, I think, relatively precise in this is we have a highly durable business with lots of levers that we can control. Some go our way, some don’t go our way. You know, Jim and I, we’ve been at this for a long time. We’ve never had a quarter where everything goes our way. Something always doesn’t go our way. The good news is, in the aggregate, more things are up and to the right than aren’t, and that’s the benefit of having a diversified business where you’ve got lots of different growth engines and growth levers. We, I think, for us, we felt comfortable enough to say to the world, we expect 25% growth, not just in one year, but over three years.

At our scale, that’s not a small number. I mean, I haven’t done the math, but $1.6 billion goes to like $2 billion and 2.5 or 3, and it becomes a pretty big number. There will be ASP lift, there will be unit and volume lift. Some things will go our way, some things won’t. There will be trends, there will be weather, there will be this, there will be that. In the aggregate, we built a business that’s durable enough across a comprehensive portfolio in diagnostics that touches lots of different areas from hereditary to therapy selection to MRD, to other disease areas like Rare Disease and so on and so forth, to a very robust data and applications business. We’re just fortunate that regardless of what happens, we feel pretty good that we can sustain good growth.

Jim Rogers, Chief Financial Officer, Tempus AI: The only thing I would add, Dan, is there’s nothing implied by given the upside that we do have in reimbursement, there’s no implication on a volume perspective. Obviously, the increases in reimbursement are difficult to pinpoint exactly when they’ll occur. You know, our volume trends continue to be very strong. There’s nothing implied by those two, those two statements in the deck.

Casey Woodring, Analyst, J.P. Morgan1: There are no further questions at this time. I will now turn the call back over to Liz Puertohilo for closing remarks.

Lee Scruton-Hollo, Investor Relations, Tempus AI: Thank you all for joining us today. We look forward to speaking with you again in a few weeks at our Investor Day. Have a great day.

Casey Woodring, Analyst, J.P. Morgan1: Ladies and gentlemen, that concludes today’s call. Thank you all for joining. You may now disconnect.