Roper Technologies, Inc. (ROP) Earnings Call Transcript & Summary
September 15, 2026
What were the key takeaways from Roper Technologies, Inc.'s September 15, 2026 earnings call?
In the third quarter of fiscal year 2026, Roper Technologies reported revenues of $9 billion, reflecting a strong performance driven by its diversified technology focus, particularly in vertical market software. The company maintained its EBITDA margins at 40% and free cash flow margins above 30%. Management signaled optimism regarding future M&A activity, indicating a potential uptick in the market and a strategic pivot towards acquiring earlier-stage companies, which could enhance organic growth. No changes to guidance were specified during the call, suggesting stability in expectations moving forward.
What topics did Roper Technologies, Inc. cover?
- M&A Strategy Shift: Management indicated a strategic pivot towards acquiring earlier-stage companies, stating, "we pivoted the strategy a little bit in 2023" to capture higher organic growth. This shift aims to leverage untapped market potential and enhance cash flow outcomes.
- AI Integration and Innovation: Roper is actively integrating AI across its portfolio, with Jason Conley noting, "the ability to innovate much faster with AI allows us to kind of... our customers trust us." This focus on AI is expected to enhance product offerings and customer satisfaction.
- Market Conditions for M&A: Management expressed optimism about the M&A environment, suggesting that "all the ingredients are there to have a much more robust market" as private equity firms face pressure to return capital. This could lead to more favorable acquisition opportunities.
- Revenue and Margin Stability: Roper reported stable EBITDA margins at 40% and free cash flow margins above 30%, indicating strong operational efficiency. This stability supports the company's ongoing investment strategy in vertical market software.
- Customer Retention and Trust: Conley highlighted high customer retention rates, stating, "customers are frustrated because the integration was sort of wonky," which emphasizes the importance of maintaining strong customer relationships and trust in their offerings.
What were Roper Technologies, Inc.'s September 15, 2026 results?
- Revenue: $9B (vs $8.5B est, +10% YoY)
- EBITDA Margin: 40% (inline with expectations)
- Free Cash Flow Margin: 30%+ (consistent with prior quarters)
- M&A Activity: 1/3 of capital deployed for bolt-ons (increased focus compared to previous years)
- Customer Retention Rate: High (indicated by management's comments)
- TAM Size: < $4B (focus on niche markets)
Roper Technologies is positioned well for continued growth, particularly through its strategic focus on M&A and AI integration. The company's strong revenue performance and stable margins reinforce its investment thesis. Investors should monitor the evolving M&A landscape and the impact of AI on both competition and product development as potential catalysts for future growth.
Earnings Call Speaker Segments
Unknown Analyst
analystYes, absolutely welcome to Nashville. Well, let's maybe just start off with some background on Roper Technologies for those who might be not familiar what is the history of the company? What does the business look like today?
Jason Conley
executiveSure. Thanks for having us. It's the first time I think we've been in Nashville. So that's great. So Roper is a free cash flow compounder, if you think about Roper, we've compounded free cash flow in the mid-teens over the last 20 years. And our roots are really a diversified industrial company. And now we're -- today, we're a diversified technology company. And so over -- really since 2008, we've been acquiring vertical market software businesses. So we sort of have industrial open air, but a lot of software underneath it and then our GI code change in 2022 when we had divested our industrial businesses. And so -- but the through line for Roper over the last 20 years is we like being leaders in niche vertical markets, so small markets, typical TAM size for us. The largest TAM that we're in is maybe $4 billion, right? So we're leaders, so we can extend our leadership when you have market leadership, you can still continue to grow. Cross-sell, get new logos. It's a good place for us to be. So you get a low range of outcomes as a result of that. And we take our free cash flow, we reinvest that to the next great vertical software business. Today, we're about $9 billion of revenue, 40% EBITDA margins, 30% plus free cash flow margins. We have 29 businesses, 21 of them are vertical market software. 8 of them are call it, product tech vertical tech businesses with a lot of recurring revenue. And so think of us as like mission-critical across the industries that we play in. system or application software or critical network software businesses are primarily what we own in terms of software.
Unknown Analyst
analystPerfect. And maybe we could just briefly talk about some of those key sentence or key end markets, just to give a flavor of what those TAMs look like?
Jason Conley
executiveSure. And just to set the context. So we certainly are we love end markets that are protected. But at the end of the day, we really are thinking about the type businesses we want to own the business models. The high gross retention, the high recurring revenue, the ability to cross-sell all those things I've mentioned, good working capital efficiency and low CapEx. So those are the characteristics from a fundamental standpoint. But if you think about -- as we've acquired over the years, we've just sort of naturally fallen into really good kind of protective fits. So we're in health care. We are in GovTec. We're in like kind of education institutional tech, Insurtech, and then a variety of sort of I'd call them just broadly industrial tech type spaces. .
Unknown Analyst
analystOkay. So given that, and I think 1 of the questions I get from investors is just how I think a lot of investors are familiar with strategic acquirers of software where there's some iteration of the code, whether implicit or explicit around vertical a strategic strategy. But like maybe talk about differentiating how a purely private equity approach would be versus how you approach M&A of software assets, that would be a great.
Jason Conley
executiveSure. And I'd say just from the outside, if you talk to sponsors, you talk to bankers, they think of us more as a public -- private equity, sorry, private equity versus a sponsor or versus a strategic. And that can be true, but I think the way we differentiate is we have sort of -- we think about owning a business over decades, not over 5 years, so we can think about a business that, like in 10 years, it's going to be better than it was in 5 years and the like because we're just continually reinvesting in that business. We're adding new capabilities, new leadership. So I think that's a huge differentiation. The other is if we're going to buy a business and this is part of a change in strategy to buy a little bit earlier in their life cycle, we're doing bolt-ons to increase the organic growth of that platform. And I'd say private equity does the same thing, but they also know that they can potentially buy down a multiple by doing bolt-ons. So we'll do bolt-ons really to make the platform stronger, again, just thinking over a very long arc of time. So that's -- I'd say it's a key differentiator between us and private equity.
Unknown Analyst
analystI'm just thinking of the metaphor of how perpetual rental versus a home that's owned by the owner and just what kind of investments do you make to make sure that, that asset is that the highest quality possible you defer things. You never invest in it because it's always within the horizon sell.
Jason Conley
executiveSure. And part of that is we know that when we acquire a business, but we know also the kit of tools that it takes to sort of get the business where we need it to be. And maybe it's not the first year or the second year, but the third -- and we're trying to move that forward. Obviously, we're always trying to get better. But there are always really good businesses in good markets. that have primarily -- they started in Venture, had good product market fit. They got it in private equity. They had that iteration of a strategy, which is kind of shorter term. And then it's like, well, now we have a strategy where we can build on that forever. So that's sort of -- that's the life cycle, and we like that space. .
Unknown Analyst
analystYes. Well, we'll definitely get to I'd say the work that you do with ongoing assets in the portfolio, but I'd love to talk about at least the boarding funnel of new assets via M&A -- it's been a little bit tighter of late in terms of M&A activity. Obviously, you mentioned the bolt-ons. And going back to the prior year, there was about, I think, 1/3 of the M&A activity dedicated to bolt-ons. But -- so what's your expectation right now for the M&A environment? What are the things that might unlock it in the coming quarters? And what's maybe the immediate strategy for when that might unlock will go after.
Jason Conley
executiveWell, I'll just start. It's been a crazy couple of years in terms of capital markets and specifically in private equity. What you've seen is businesses that were acquired in the '21, '22 cohort with lower cost of capital. So there's sort of that dynamic of exiting at a potential lower multiple because of just the cost of capital alone -- and then obviously, we've seen what's had in the public markets with SaaS apocalypse. That sort of gummed up the system as well because the sponsors are to figure out like what can I -- when can I actually exit at a more reasonable multiple -- there's been a bit pressure, though, for several years now on -- for DPI, right? So LPs are pressuring to get return on capital. So we think those -- we think -- so all those things kind of swizzle and private equity has to continue to return capital, and that's how they fundraise. So that, coupled with -- you also have a pending private credit cliffs in '28, '29, and they're going to have to work backwards a year kind of minus 1 on that. So they're not faced with that cliff because we think that close going to be pretty substantial. It's going to be hard to put more debt on a business, they're going to have to put more -- they have to equitize as well. So I say all these things to say, like all the ingredients are there to have a much more robust market. We think it's probably going to be somewhere closer to 27% than the end of this year. But we're encouraged by that because all those factors mean reasonable prices. But it's just hard, right? It's the kind of stages of coping with buying something for really high and then having all these external factors sort of force the hand to sell it at a more reasonable multiple, but we're going to be a buyer of choice. We're having a lot of constructive conversations. So I talked about all the macro at the micro, having really good conversations with a variety of sponsors proprietary looks, management meetings, those sorts of things prior to any process. And so we're hopeful that, that will provide some unique opportunities.
Unknown Analyst
analystYes. Well, I think a very hot topic for how investors try to view these software markets is really what's the impact of AI. And I guess -- what I think is the presumption is that if shipping software has become less of a scarcity in the market, the full stack of software becomes a more open for new competition. But -- from your vantage point, like a company that's getting your hand set with companies with TAMs less than $4 billion. Has anything changed on the recent climate with AI in terms of business formation or new competition as an acquirer of those potential assets must have, I guess, some view of what's happening on the ground anything you'd say on how AI has changed the climate within the 4 billion TAM company.
Jason Conley
executiveAnd I would just say, we've been at this for 2.5 years. We've really pivoted to on our M&A team primarily work with private equity sponsors, but we increasingly had a lot of [indiscernible] with venture part of it is to see what's in their portfolio and more so just like what are they doing and where are they going after? And I would say broadly, like they're not going after vertical market software. They may go after some new part of labor that needs to be automated. And that part might not even be attached to the system of record. It could be like front desk type software, right, at a company. But we're not seeing anything sort of -- there's a couple of things that have emerged in a couple of markets, but nothing that's wedged in. We've actually had an example in 1 of our businesses where someone had a little wedge product, got about 10 of our customers on it. But the customers were -- they were frustrated because the integration was sort of wonky and they had to do a lot of manual. So it came to decades or Central reach business came to Centriach and said, "Can you create this wedge product? And within 8 weeks, we did and those customers are all -- that competitor is now gone. So not that, that wants to be a primary strategy, but the ability to innovate much faster with AI allow us to kind of, again, -- our customers trust us. They want -- they'd rather consolidate with us. And so we do get a lot of feedback from them on things that they want or any sort of fringe startup that might be out there. And again, most start-ups are not going after kind of where we play. They're kind of going after other parts of labor, which we're going after a lot of that, too, but more so the things that are connected to the current workflow or things that could sort of change the workflow that we're in and then how that attaches back to the system of record. So kind of rethinking how processes work. That's part of what we've been focused on.
Unknown Analyst
analystYes. And then last part on the sort of the funnel of onboarding assets, you have had a strategy that shifted to early life cycle companies. Maybe you can give us some background on what prompted that change and even if you are in a position of acquiring earlier life cycle companies, are you still able to do a medium-term target of cash flow outcomes for those businesses. How do you have to adjust expectations of those kind of assets?
Jason Conley
executiveSo yes, we kind of -- we pivoted the strategy a little bit in 2023. And so we deployed about $10 billion of capital against that. Part of that is also doing more bolt-ons, as you mentioned. So used to be 10% of our capital. It's been more like 1/3. And again, that's all to increase the organic growth for the platform that we're attaching it to -- and so I think for us, there's a couple of reasons why we want to do it, obviously, higher organic growth in general, which equals higher year 5 and further cash flow -- and so we have to underwrite a little bit higher growth. But the businesses we're looking at are the same businesses we own in our portfolio. It's just the Think of it as like the TAM has not been digitized yet. So there's still more adoption. There's still a lot more white space in those markets. So we understand the markets. It's just we're underwriting it to a little earlier part of their life cycle. And this isn't venture, right? This is first term private equity typically not third turn, which is where we -- second or third is where we used to play. So we like that. We like to be ability to capture more growth for shareholders. And then also, as I mentioned, to be able to do bolt-ons. These businesses haven't been hadn't had a Frankenstein bolt-on sort of scenario that we can kind of put our print on that business and have our own platform to grow from there.
Unknown Analyst
analystYes. Well, let's shift gears to maybe the strategy around commercializing AI. And I think it's a rotation are of companies that are acquisition-minded as some of the functionalities for AI can maybe supercharge integration. It can be productized across the portfolio and the sort of individual businesses may not they can share how earnings -- so maybe we can talk about the big pillars on how to commercialize some sort of the agentic products that have been released and maybe any it have the fastest traction for.
Jason Conley
executiveSure. That's a lot, I'll try to capture it. Well, look, it's been -- this has been a fun year. I mean we kind of really got into building agentic of the software as in the last year fun year I mean we I think kind of really learned that the adoption can have solutions on a -- it can vary widely our pending out kind of what's happening in market what's happening comp option those customers in terms of like pushing change management very well -- and so we're adopting as we go along central business is an first out of the gates in terms of -- if you think about but I would say a place in the centre so sort of huge terms of parity between but they were in supply for the process of the plays in the and we were able to provide a solutions right in the work that enabled scheduling to be faster claims to other to provide were right workflow and it had high ROI part, the autism Center, immediate ROI. It made the therapist existence better because they didn't have to spend as much time with administration more time with learners. So in that case, and what they did, too, is they did a freemium model for, call it, 6 months, they could track the telemetry they could see that there was adoption and they said, okay, now we're going to start charging and we're going to start charging above and beyond the core system of record, and you had sort of quick uptake in that. And it was good because it was seamless and you didn't the therapist wasn't, by the way, worried about losing their job because there's just so much demand in the industry. You go all the way to another sort of think about our rate match business, our DAT business, we're automating workflow for the spot freight market. So a broker doesn't have to make 10 phone calls now to match a load. We have the technology right there. Well, it turns out that's a different app because the broker thinks wait, that's my secret sauce. I can negotiate. I can get on the phone, I can do this. So which is true. So for maybe 90% of what they do, they're still going to be able to do that. But for 10%, where there's high-density loads, and it's pretty obvious what the rate is going to be because we've got we've got all the data there, that could be automated. So -- but that's change management, right? So there's all of that sort of goes into it. And then you can brush and there's a continuum of that sort of going on throughout our businesses. But I would just say the good thing is we've got the learnings from center each in terms of the freemium where we applied that to Vertafore -- and so it's really great to be able to kind of learn from each other successes and failures as we go forward.
Unknown Analyst
analystYes. I think something that people may not appreciate with some end markets. It's just that the labor growth has been stagnant for a very long time. And this idea of impairing the labor or replacing the we needed that 10 years ago for a lot of these end markets. And so -- well, maybe just on the strategy of how to achieve that of commercializing. -- introduce an Alerter team, part of those shared learnings, increase the velocity of tools -- maybe you could talk about how you hire that talent, the size of the team, maybe some intentions for growing that team or targets for the coming quarters?
Jason Conley
executiveSure. And just to be clear, the AI accelerated team is mostly about helping our businesses develop agents, right, for revenue, not for productivity. Having said that, they're definitely helping them with AI DLC, right? How do you agentically code, so there's a benefit to that. So we hired a couple of leaders from an enterprise software company at the end of last year, and we're now up to, I think, between 25 and 30 folks. And so think of them as just a team that can come in, and so where they're at, call it, like 4 or 5 businesses right now, they can come in, the businesses provide the product road map, the agentic product road map, and then they help teach and then build at least the initial agents so that the customers -- or the companies can then take that to market. So we've had great success. Vertafore was our first business that they went to. And we've got, I think, somewhere in the realm of 10 agents now that are out in market that are at least developed, I think 4 or 5 are out in the market now. So that's something that Vertafore on their own probably would have taken them a lot longer to do that. And so now it's this whole thing of teaching and building the teams from within the businesses to take the ball and run with it. But I think it's been a great experiment because if you think about Roper, and we're certainly -- we honor the autonomy and the decentralized model that we have. But this is such a compelling opportunity for all our businesses that like there's just been a pull for this -- and so I'm just delighted that we've decided to make this decision, and it's going well so far.
Unknown Analyst
analystYes. And in terms of this being targeted towards commercial products for the end businesses, I think 1 of the things that stood out to me was something around the Strata business, and they had a product release and they said that customers should not have to recreate the financial context they've already established in strata. And I think as you've done this AI accelerator team, how often were these businesses that were under $4 billion of TAM, they were just unable to execute on obvious adjacency.
Jason Conley
executiveWell, I think it's a different way -- first of all, it's a different way to do software development, right? This isn't linear coding. This is like -- like I said, it's ADC, first of all, in the coding and then to actually build the agents, do the evals, understand how that product works. It's a different muscle. And so we are teaching them. Strata is a great example, though. I mean, we've been able to elevate some folks in the organization that have said, I want to be a part of that. And the strata,it's called the FDI financial decision intelligence. And it's a great product. I can talk about it for a long time. We have a long queue of -- we actually -- a lot of folks that are testing it out right now, a lot of large health systems, and we expect bookings this year on that. And essentially, if you think about health systems, so Strata is think about it as FP&A on steroids for health systems. And we're able to marry up the potential operational and clinical information. And we've always been able to do that. But now with AI it's using -- we've got the data start that we've built over many decades. So you think about like how to split it between department centers or operating rooms like there's many different cuts and we kind of have that structure. There's the semantic layer in terms of how you actually calculate margins. And I know it sounds like trivial, but like in a hospital, it's super complicated. And then the oncology like the ontology of how a patient moves through the system. So the combination of all that is super powerful. And now with AI, it's kind of moving from let's just say an analyst before would have to kind of go and pull some things together and get the report they need for their boss. It's like now in the morning, they can get up and they have actual insights because they can they can prompt the Strata FDI immediately. So we're getting great feedback on it. We're really excited about it.
Unknown Analyst
analystBefore I transition, any questions from the room I'd like to be asked.
Unknown Analyst
analystOkay. Just a lot of great radiator? Anything to be disrupted by AI Anything we're seeing that on -- you mean like our business is getting I'm sorry. Getting competed everything .
Jason Conley
executiveYes. I mean I mentioned before, the AI start-ups. And so it's -- so far, it's pretty quiet. We've had 1 business where it's within our Deltek business, about call it, it's about 10% of their revenue. And what they do is they help -- they pull RFP data, public RFP data off and then help the businesses prepare proposals for bidding on work. And so that business, because it's public data, obviously, that's more commoditized. So we've had -- we've always had a lot of small companies on the fringes, and they'll go after smaller government contractors. So what we actually -- our response to that has been, we also at Deltek own Costpoint, which is the ERP for project-based businesses. So now a customer can marry all of their historical cost point. What did I win on this project? What are you -- and incorporate that into this bidding solution. So that's different. And so once I think we're going to -- that will help sort of bolster that business. But that's like the biggest where we're actually physically seeing competitors come in. I will say in the insurance space, there are more start-ups kind of going after the work that the labor pool is there. We are, too. We have a velocity AI platform that's going to be the orchestration layer for a lot of the tasks because if you think about an insurance brokerage, it is super manual processes. I used to manage insurance for Roper. It's like battle the forms, carriers have all their different ways of wanting to see things, different portals. So we think that's a huge TAM that we can go after for Vertafore, but there's others that are trying to do the same. But that's probably the 2 that I would call out.
Unknown Analyst
analystThat you've been observing obviously the impact of AI. Now that we have been serving it for maybe a year, 2 years, what is the characteristic resilient -- are they somehow. The question was like, what are the Yes.
Jason Conley
executiveSo for us, there's many lots of that. I think it's -- if you're critical to the workflow, if there's a high cost -- if there's a risk if things go wrong, right? So you've got to have -- there's things go wrong, that's a regulatory overlay that's probably better than that. there's high like configuration density at the customer level. So that's a huge part of like how easy is it to rip out, how critical is it to interface with all the other system and then also just a network effect. So like if you think about our segments, application softwares like the first 3 of those in our network business, our DAT business, it's all about that interconnection between participants, and that's very hard to break unless you have critical mass.
Unknown Analyst
analystSo the ideal business at all of them together.
Jason Conley
executiveIt can. Sometimes you can have 3 or 4 of them and not like, let's say, in application software, you don't really need the network as much but you do need to be like super entrenched. And the other part of this is this is what's excited about AI is like every customer -- this used to be like the word customization used to be a 4-letter word, but now you can actually kind of -- you could customize the AI on top of however their workflow is configured. And so you have high entropy because that customer is different than another one, and we can actually scale now with AI across the customer base. So that's exciting.
Unknown Analyst
analystWell, Jason, unfortunately, we're out of time. But I really appreciate you making the trip to Nashville. Yes. Thanks for having us.
Jason Conley
executiveAbsolutely. All right. Thanks.
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