Eric Lefkofsky
Analyst · Piper Sandler
Yes. I mean -- so look, when we think about the business, and if you look at the kind of guide we laid out the longer-term guide of growing at 25% for the next 3 years, we build that guide almost entirely looking at the growth we can see in our diagnostic business and our data business because those are big businesses, predictable, operating at scale, really good growth rates, really good margin. We understand them. We have a very hard time predicting the growth rate of some of these algorithms we have in market, effectively, to your point, this dry lab CPT code stuff. We have a hard time predicting the revenue associated with that because at the present moment, it isn't well reimbursed, if at all. We believe at some point, that will change. We believe at some point, that has to change or the health care system in this country is in danger of real problems. We just can't afford $5.7 trillion a year, growing at 7.5%. Their only solution to this problem is some amount of intelligence, call it AI, that allows us to understand where error is occurring, where waste is occurring, where mistakes are occurring, where we can be predictive and preventative, that's going to have to be paid for or it isn't going to scale. When that's paid for, Tempus is in a really unique position because we have a lot of this. We invest a lot of money embedded in our results, even with positive EBITDA, generating a ton of algorithms. I mean a lot. We have algorithms in digital pathology, radiology, cardiology, neuropsych, oncology, up and down the spectrum. And so when these things are paid for, we can distribute them across the over 5,000 hospitals connected to our ecosystem very quickly. And many of these things are already FDA approved, and so we suspect our path to reimbursement will be very quick if there is a path to reimbursement. And if -- and I've said this historically, if Tempus ever has its NVIDIA moment or whatever that moment is, it's going to be because one of these things starts to get paid for or 2 of them or 3 of them, and they just scale rapidly. So in the wet lab, you might go from $100 million of revenue to $150 million of revenue, that would be a very heavy lift. But in the algo world, you go from $100 million of revenue to $1 billion of revenue overnight because you're distributing zeros in 1s instead of having to kind of collect biospecimens and run a test and distribute it. So it just scales differently. So I'm hopeful they will get paid for. I can't see any other way out of this mess, and we're well situated.