PAR Technology Corporation (PAR) Earnings Call Transcript & Summary

September 10, 2026

NYSE US Information Technology Software conference_presentation 34 min

Earnings Call Speaker Segments

Unknown Speaker

unknown
#1

Thank you. All right. We're going to start with the next session.

Unknown Speaker

unknown
#2

Next up, pleased to have Savneet Singh, President and CEO of PAR Technology. Savneet, thanks for joining us again. It's a pleasure to have you yet again at the conference.

Savneet Singh

executive
#3

Thanks for having me.

Unknown Speaker

unknown
#4

So before we get into the details, I think it's level-set for the room. Anyone maybe newer to the name, PAR Technology has been on a 40-year-old journey to reinvent themselves from a hardware company to a software company. Can you give us a snapshot of who PAR Technology is today and what the platform does across front of house and back of house.

Savneet Singh

executive
#5

Sure. PAR Technology is a platform to run enterprise restaurants and convenience stores. We are everything from loyalty and online ordering all the way to point of sale and back office. Our platform really sort of starts with, plant the flag with point of sale, and then we look to upsell you, back of house, online ordering, and loyalty. We've been sort of deep in software for 6, 7 years now, expanding rapidly. Today we cover over 100,000 restaurants and 25,000 convenience stores.

Unknown Speaker

unknown
#6

Got it. Okay. So, the numbers, the reportable [ sponsor ], and bottom line.

Unknown Speaker

unknown
#7

And then on second quarter numbers, you reported last month, you raised full-year on both top and bottom line. And this is, you know, it's not, you haven't been given guidance for a while, so I think that's notable. What stood out to you in the quarter? Anything you'd like the group to focus on?

Savneet Singh

executive
#8

I think it's our second... We started guidance this year, so this is our second time giving guidance. Probably the biggest takeaway is we continue to significantly outperform our EBITDA targets. And I think, you know, I hope that continues for some time. So I think that there's a really strong operating leverage story here, alongside really durable growth. So I think probably the biggest takeaway was that we are over earning, and I don't think it's over earning, I think we're earning into a continual growth. So I think every dollar of future revenue will come out sustainable higher margin than when we started. And so I think as our, and that is really a direct result of a platform strategy. Whereas when we're now selling 2, 3, 4 products per customer, the increment in the margin per customer is much, much higher than it was in the past. And so I think there's a little bit of under appreciation of how much that is flowing through the bottom line. And the second thing that's interesting to take away is we're crossed over 20,000 sites that have our PAR Intelligence platform on it now. And I think that's really exciting for us, because, you know, we're selling to enterprises. It's not like a tool we can just flip on and say, surprise, you have it. We have to get approvals, we got to get it signed up. And I think gets us really excited about the potential future monetization of of what we're doing there.

Unknown Speaker

unknown
#9

Yep, I'll come back to that in a second. But maybe talk for a second about the decision to give guidance. What was the thought process?

Unknown Speaker

unknown
#10

You know, what changed in terms of visibility? And then secondly, how are you thinking about the philosophy around guidance go forward, about how you set the bar and, you know, evaluate over the course of the year?

Savneet Singh

executive
#11

Yes. I think guidance for us was probably twofold. One, when we took over the company, we were like less than $10 million of ARR. And we used to get asked to give guidance. And I'm like, how many Series A companies give guidance? Yes. It wouldn't be public. And so I think it was always hard. And I think when we were building up our platform, part through acquisition, part organically, it was very hard to kind of give guidance that I think was instructive. I think we got to a point now where the business is mature enough where we felt comfortable giving guidance. And I think the second part was we had a lot of visibility coming this year. And so we didn't want to come out with guidance and be wrong. And so we felt like we had a lot of visibility this year and thought it was a good time to come.

Unknown Speaker

unknown
#12

Kick things off. Got it. Okay. That makes sense.

Unknown Speaker

unknown
#13

And just philosophy going forward on that. Um,

Savneet Singh

executive
#14

How you set that bar? Yeah, I mean, I think we try to sort of, you know, put a bar we can hit and hopefully exceed. You know, the first 2 quarters we beat pretty substantially. You know, I don't think we want to beat by that much all the time, but I think we're, our goal is to kind of put numbers we can achieve and, you know, give reasonable expectations.

Unknown Speaker

unknown
#15

Yes, got it. OK.

Unknown Speaker

unknown
#16

All right, so let's talk a little about AI and how that's impacting the business. Can you talk through how AI is actually changing how PAR Technology operates internally and how you're kind of separating structural cost takeouts from what I think you called AI washing cost savings programs?

Savneet Singh

executive
#17

Yes, I think we went into this about AI really like department by department, job by job. And I think it took a little bit longer, but I think it really worked in our favor. So as we, you know, our, the exclude our, the one sort of set of assets that we acquired in Q1 of this year, our organic OpEx is down something like $15 million or $20 million. And the substantial portion of that came from cost takeouts leveraging AI. I think an example is probably helpful. Our finance department today is down 25%, maybe 30% from where it started this year. And our goal is to take it down to 40% by Q1 2027. And so we've been able to take out a huge portion of our finance costs because we've been able to leverage AI in areas that we were manually doing stuff. So a couple good examples are things like internal audit, where an agent can pull things that look fishy or needs to reconcile stuff. You know, areas of billing where we were doing a ton of stuff manually, collections, you know, really aggressively put AI to work, and it's dramatically helped us cut costs. Same thing within HR. You know, all the queries that you send to HR, we've now made those agentic. Within our operations. Our hardware team now has something called Hey PAR, where literally any question they have about a product, whether it's from 1985 or 1995 or now, they're able to query it, and so that allows us to cut the team down, but also get rid of all this old software we had. We got rid of Smartsheet with some of our demand planning because we were able to use a tool we build on on cloud. And so I think we've been constantly going function by function to see what we can potentially automate away.

Unknown Speaker

unknown
#18

Got it. Makes sense.

Unknown Speaker

unknown
#19

And then just on the product side, you mentioned the 20,000 live sites on PAR Intelligence. Maybe talk about that product, what it actually is, what are customers doing with it today, and how you think about it.

Savneet Singh

executive
#20

Kind of roadmap for that product? Yeah, so it's really exciting for us. You know, PAR Intelligence is a single dashboard for all of your PAR Technology products and hopefully your third-party products as well. But what what I think is unique about it is, you know, today what we're doing is what I expect every company in the world will do in software, which is it's it's like ChatGPT for your for your for your restaurant. You can say, what are 10 things that today's sales like, how did they compare last week, last year, did that promotion work, what store is working, how's my inventory looking, your ability to just run reports. You know, um, and that is actually really valuable today. And we're not charging for that. The idea is, hey, let's just, you know, we call it Assist. a really good example where one of our customers shows a screenshot where his CEO had asked, you know, can you tell me the percentage of transactions between 0 and 10, 10 and 20, 20 and 30? And normally he's like, listen, I would have to download some stuff, run some stuff, you know, because he wanted to see how that trended over the last period of time. It's actually kind of complicated, right? Because you're like, okay, how did this, that bucket of 10, you know, 0 to 10 compared to last year or whatever. And he literally just copied it, put it into our PAR Assist, and sent it to the CEO within like 10 minutes or whatever. And so that we call Assist. The next step in our evolution is Advise, which is instead of you prompting it, it starts prompting you. And so it says, hey Will, did you know that drive-thru sales are down, or the drive-thru's backed up 30 seconds? FYI, it's sort of giving you, hey, there's too much inventory. Hey, this labor schedule isn't going to be working for you. And so it's actually predicting stuff for you just for you to go take action. So more valuable new prompting there. And then our third, our next third iteration of the product, which is coming out early 2027, is the ability to take actions. And so in that example about the drive-through, hey the drive-through's backed up 30 seconds, do you want to shut off DoorDash so that the in-store can funnel the drive-through faster? And you press the button and it takes the action. And the idea is that over time we just automate that. So hey, any time the drive-thru's backed up by 30 seconds, just shut off DoorDash so we can add staff there or whatever it may be. And so when we get that last point where we're going to take actions to help you optimize your store where you literally don't have to do anything but press a button, that's when we tend to start monetizing it. So our goal is to get 50,000 stores on a single day by the end of this year, or they have this beautiful experience to kind of pull the data, get a bunch of customers on sort of advice, and then we'll just start monetizing it. So our goal is by the end of this year to have 50,000 stores.

Unknown Speaker

unknown
#21

Yes, okay, and talk about where you are currently and just when you get to that Advised state. How long does that take and what should we be thinking about for a timeline to monetization?

Savneet Singh

executive
#22

On Assist, this is our first version, we're using it pretty extensively. And then through 2027, our goals then get to this last point of Action, so hopefully we'll have real revenues in 2027 that we can tie back to this product. And we think over time, this product becomes how you interact with us for everything. There's no more point of sale loss, I can hear back, it's all just in this one place. And that's really the major vision that we're pushing towards.

Unknown Speaker

unknown
#23

And how does this, you know, we've seen similar products across our coverage, most of them in the SMB space. What's different about rolling out AI-enabled products into the enterprise ecosystem? You know, you've got corporate approvals, cyber reviews, longer cycles. I would imagine, though, that they focus on finding efficiencies and running businesses more efficiently that there's more of a focus on that in some of the bigger enterprise organizations?

Savneet Singh

executive
#24

Different. Like I think, you know, when I look at the SMB, a lot of the SMB AI stuff is like, hey, I'm going to grow your sales, you know, 10% to 40%, you know, imagine going to McDonald's and say, I'm going to use AI to increase your sales 10% to 40%. You just sound silly. It's just a, you know, it's not, you know, no one's going to go get a, you know, multiple thousand-store restaurant chain and grow their sales by 40%. And so they are, and that's just to give you a perspective like how different the SMB is from the enterprise. Because SMB will say, I can grow my sales 25% by using AI. Whereas, you know, that's just not reasonable to assume in any large business. The other part of it is kind of what you talked about, which is, okay, so what can you figure out? And in the enterprise where there's massive focuses on the back of house, how do I optimize the inventory, my labor, my schedule, etcetera, food costs, all that. And then it's on the loyalty side, which is how do I segment it? So how do I How do I actually say Will is a father of 2 that every week this week comes home super exhausted and needs a Big Mac or whatever? How do I segment down to you as an individual? Um, and so those are the 2 areas you see in the enterprise, whereas the SMB is all about at the moment like customer acquisition and, you know, juicing your business pretty quickly. Structurally, it's also very different, where when we go sell something to the enterprise, we've got to actually convince the CIO that this is a product. We've got to get it tested with a bunch of the brands and the stores, the cyber stuff, you know, it's a pretty robust process. But once you go through that, you know, it is a huge moat between you and the next person because, you know, how many times do you want to go through that again and again and again? And so, you know, I think us being first is really important.

Unknown Speaker

unknown
#25

And then how does the AI strategy extend to the C-store side?

Savneet Singh

executive
#26

So the C-store side, we're actually a little bit further ahead. We are in 15,000 C-stores already leveraged and so we're seeing tremendous use cases. As an example, one of our customers, our first customer actually, the beta customer, was actually able to use PAR Assist to realize they had a I think a $1 million ad buy being funded by one of their suppliers, that they they didn't use. And so, you think about, okay, a $1 million ad buy, what's your cost of production? That's a huge amount of, we just paid for the product for years that way. So they're using it to predominantly engage on the marketing side. They're trying to figure out how do I segment, how do I target, um, And so we've got a lot of traction there. We're going to test out a ton of other stuff. So as an example, we're testing with a customer, how do they use voice to interact with PAR Assist? So instead of you typing it, can it be in the headset and you can say hey, you know, like how are we looking in the kitchen, or whatever, of a C-store. And so the C-store, we've had a lot more engagement and a lot faster. I think it's our standing in the category. We are the very dominant loyalty provider, but we've created a ton of value back to our customers. And so when we bring them something, they don't really have a strong competitive alternative, and then we've kinda got this relationship. Whereas in restaurant, we've done

Unknown Speaker

unknown
#27

Yes, why is that? Why are they so much more willing to engage?

Savneet Singh

executive
#28

Job but there's competitive alternatives, they're being called on all the time. You know, in C-store you don't really have a lot of nearly the innovation and or VC $ that have flown into it like restaurant has.

Unknown Speaker

unknown
#29

Okay. All right. Let's pivot over to Bridg. You closed earlier on this acquisition. Maybe you could provide an overview of the deal and the acquisition and how it fits into the Better Together thesis.

Savneet Singh

executive
#30

Yes, we closed on Bridg in Q1 of this year. Bridg is an IDR solution. You know, essentially it's a tool that allows you identify who a guest is, whether they're in your loyalty program or not. And so it sort of takes matching data and figures out, okay, that's Will. He lives in this zip code. He's got this demographic data. And then obviously over time, the goal is to sort of target those customers. It is an incredibly powerful tool that historically was sold to the, you know, the largest, you know, Walmart down. Like, it is the biggest, the biggest. And it was... Bridg was originally acquired for $350 million in 2021 by a company called Cardlytics. You know, post-earn-out, Cardlytics paid almost $0.5 billion for the business. And then we bought it for like $27.5 million to $30 million in Q1 2026. And so we thought we got a steal. And the idea was, can we take this Bridg product and combine it with our loyalty solutions so we go to our customers and say, hey, not only do we have all your loyalty customers and all every transaction that are done and how they think about you, we have your non-loyal guests along alongside that so we can then find ways to bring those guests to be loyal or vice versa, but also figure out, you know, how much of our spend it how much of spend is happening outside. So if Will's a loyal customer, and he of XYZ restaurant, like how much is he spending on ABC restaurant or anywhere else? And so it is a really fascinating tool for our customers to demo because they're like, oh crap, like I don't have any information. And so we We have a ton of interest. We signed our largest restaurant loyalty customer onto it just a couple months after we bought it. We have a pretty strong pipeline of of deals coming through. So, Bridg is pretty exciting and I think will be the crux of our AI monetization going forward in that we can create really unique outcomes with stuff they couldn't do before.

Unknown Speaker

unknown
#31

And what's the sales process or upsell motion look like on that?

Savneet Singh

executive
#32

So it's very much pushed in conjunction with those that have our loyalty product. So when you're selling loyalty, it's so much about data, data, data, and incredibly powerful data product I didn't have before. It's also very unique and hard to get to, and so it we sort of sell it within that core buyer persona. We haven't yet.

Unknown Speaker

unknown
#33

Have you talked about pricing relative to the base of what used to be Punchh?

Savneet Singh

executive
#34

And pricing does vary pretty significantly, and we're going to narrow in on this, but you should expect a doubling of ARR of a loyalty customer when we turn this on, but it does vary depending on the

Unknown Speaker

unknown
#35

Okay. All right.

Unknown Speaker

unknown
#36

Papa John's, this was a major win for this year. Can you talk just a little bit about how that came together, how competitive was the process, and what role did the Burger King win as a reference customer play in achieving that outcome?

Savneet Singh

executive
#37

Papa John's is a big deal for us for a couple reasons. One, it's our first pizza chain, so we've never done pizza before. And pizza is a little different than our traditional QSR business in that you've got modifiers, you've got this pizza going through the oven stuff that Domino's pioneered, and it's heavily delivery, heavily third party, heavy promotional base. But there are core product differentiators versus uh quick service and fast casual. It was a big deal for us to move into a new vertical, kind of like an adjacent vertical, and then do it super fast. At the time. I think the core reason we won the deal is that Papa John's um is, from a tech perspective, is run by a really innovative team that came out of Domino's. It was the team that sort of did a lot of the really cool stuff that Domino's is known for. And so they want to be viewed as tech forward. They want to be viewed as cutting edge. And so they wanted a partner and a vendor that matched their values and their goals. And so I think they took a huge leap of faith on us because we've never done what they're looking for them to do so they're literally betting on us to do something we've never done before. But I think they felt it from our culture. They felt it from our roadmap. They saw the results. And then I do think a huge part of it was the success we had at Burger King gave them massive confidence we could scale and handle the volumes and quantity of stores that they have have today. So I think that was a huge, huge part of it.

Unknown Speaker

unknown
#38

Yes. So then I have talked about pizza as a new vertical. You talked about how it's.

Savneet Singh

executive
#39

First major win in that category. Yes, absolutely. I mean, we've had to build a lot of that piece of functionality for Papa John's, but what we've been lucky about is then we were able to go monetize that into other customers. In Q2, we announced we want a business called Pizza Factory. And then we want a third chain, a small chain after that. And so we've been making great progress. And pizza's kind of interesting in that there isn't an enterprise vendor that is serviced it before. So most of these pizza chains have actually custom-built software from a decade or sometimes decades ago go that they've been trying to figure out how to work. And so there's an incredible amount of excitement in the category because no one's ever gone after that category before. And so we think it could be a nice... a place for us to expand. We've got 3 customers on a standing start. And a lot of that functionality we can now use over and over again. And I think that a lot of it, too, is just stuff where I suspect, Pizza's always an innovator. And as far as first to delivery, first to DoorDash, first to Uber Eats, there'll probably be stuff that comes out of that that.

Unknown Speaker

unknown
#40

Into the rest of our base over time. Yes. During the Burger King process, there was a period of unlawful upsell where you end up winning additional products. Like, do you see similar opportunities here? And what can make sense over time?

Savneet Singh

executive
#41

Yes, and we already did. So we sold them on 2 products at the time we won the deal. Again, I think that was because they saw what happened over there and said, okay, why don't we do that now? So that was kind of exciting because we were able to launch with 2 products, not 1, and not have to pause and restart. I think that they saw the value add there. That it also started becoming the norm in Q2, every single deal we did was multi-product, literally every deal. And then the prior 4 quarters or 3 or 4 quarters, it's sort of been 70%, 80% of our deals were multi-product. And so I think we've been able to convince more and more customers to go that way. And I absolutely think it's tied to the success of us that working from these bigger, more complex brands.

Unknown Speaker

unknown
#42

Yes. And just remind us where.

Savneet Singh

executive
#43

You are in the implementation of that. I think you sized it in the past as kind of like mid-teens millions of ARR once it's fully rolled out.

Unknown Speaker

unknown
#44

Papa Johns?

Savneet Singh

executive
#45

Yes. And we have a majorly at 2027 event for us.

Unknown Speaker

unknown
#46

Do you think you can get it done in 2027? That's the hope.

Unknown Speaker

unknown
#47

Similar question on Burger King. I know that one's farther along. Where are you in the Burger King rollout? You've been running north of 400 stores a month. How should we think about the remaining contribution into next year?

Savneet Singh

executive
#48

I think we'd be pretty much done by the end of this year. I don't think there'll be a small contribution for next year. Some laggards, but for the most part it'll be done. And so 2027 will be a lot more about upselling the back office product and getting that going in the rest of the rest of the chain. So it's been super successful, ahead of schedule. You know we suspect that no one's ever launched as many sites in a single year so you know.

Unknown Speaker

unknown
#49

Yes, that's great. I know there's been a lot of conversation around just the market opportunity of other brands, like the pizza industry, that ran a lot of in-house software and are looking to modernize. We've been talking a lot about potential Tier 1 RFPs out there. What's the level of confidence in PAR Technology's positioning in some of those processes and any updates you can share?

Savneet Singh

executive
#50

We continue to make progress. We're careful not to give update on stuff that hasn't announced or signed yet, given our customers are this is kind of their private info. But the volume of RFPs has increased pretty significantly the last 12 months in our business. I think we are clearly in a replacement cycle of point of sale at least. And so I think, you know, we should, given our win rates, we should, you know, continue to see hopefully above average growth. Just the quantity of RFPs has increased. The only, I believe the only department at our company that has grown headcount has been sales engineers, which are folks that do demos and architect around that. We're just seeing a lot of RFP volume there, too. So I think we continue to make inroads into these big deals, and as I said, our guidance Our business is, you know, a guidance isn't assuming any of that. So if it happens, it's just a great upside for us to have.

Unknown Speaker

unknown
#51

What does the process of pitching and winning such a large customer like that look like relative to your standard sales process?

Savneet Singh

executive
#52

Man, the big ones are just, they're very, it's just impossible to sort of like say the one is like this or not. You know, some firms run a super strict RFP process where they bring in Accenture, Deloitte, or something like that and say, you know, blind RFP response, don't talk to us, just work with a consultant. Other folks will, you know, sort of date you for, or 2 and then sort of say okay let's do a quick abbreviated thing other times you know Honestly, with Burger King and Papa John's, you know, we were the last to the party, but we'd won those very quickly because I think they'd kind of gone deep on other vendors and just were like, this is not going to work, and then we came in and solve all their problems very quickly. So unfortunately it's not there, but again, there's a very small group of people that are in that very, very super, super large brands, whereas our traditional process is, You know, you're obviously have account coverage across every restaurant chain in America, but, you know, by the time you get that RFP, it's like, you know, start to finish relatively, you know, smooth.

Unknown Speaker

unknown
#53

So just zooming out, I mean, there's a lot of, I think there's been a lot of focus on, particularly early in the year, that AI may make companies manage more of their own software in-house. And so it's interesting you're saying that you're seeing a lot more RFPs coming to market, people looking to move to out-of-house vendors. So what is the market like right now for some of these big opportunities? Are you seeing an acceleration in people looking to do kind of refreshes of their tech stack? And then how do you think AI plays into those decisions?

Savneet Singh

executive
#54

I'll say that the, you know, 99% of restaurant chains do not have their own tech stack now. So it's not so much a move to external, it's always been external. There are a couple, you know, McDonald's, um, There's a handful that have done stuff themselves, but everyone else has bought. And so I just think it's a continuation of that bought. And I think even more so, what we're seeing is some of these firms that have built their own now look at AI as a way for them to get off their own. Where I think a lot of them are like, man, we're going to be stuck on our own clunky homegrown thing with AI or something. It's like, OK, now we can actually get off the thing we built that's clunky as resources. And so I'm not seeing any customer come to us and say, I want to go build a point of sale system. I don't think that's going to happen. And you know, if you think about it, if I'm I'm a, almost all large restaurant brands are franchised. If I'm that franchisor, I'm not sure I wanna build like the payment engine, the transaction engine, the point of sale system to my franchisee, it's just going to be a massive point of friction for saving how much, point of sale you're paying $200 a month, it's like, is the ROI really worth the headache? Of giving your franchisees another thing to complain to you about. And so I'm not sure there's an ROI there, given that. And I've always said this, but to me, it's like the equivalent of us saying, I want to go build my own CRM system, because I don't want to use whatever Gong or Salesforce.com or whatever we've developed. Why would I ever want to distract our team to build the best CRM? the CRM system. You'd only do that if you felt there was a massive competitive advantage. And I don't think that exists. And, you know, or if you can build the best product for your store today, I doubt that lasts because these technology changes, integrations change, all of a sudden AI comes and you're like, I gotta rebuild it. I just don't think you want to be in that business. So the main driver of the movement, of this aggressive sort of growth in our fees, I think is really just down to the same exact stuff, which is, holy crap, our customers are more digital, we gotta meet them where they are, we gotta manage our operations more dynamically, because all of a sudden, I gotta deliver, I gotta have Uber Eats, I gotta have pick up, I gotta be available on all these channels all these times, I gotta manage labor. I'm doing it from the exact same four walls that I did 20 years ago. The only way to solve that is with technology.

Unknown Speaker

unknown
#55

Okay, let's maybe pivot to talk about the competitive landscape. I mean, you sit behind, or I guess between, a lot of legacy enterprise vendors, Oracle, Micros, NCR, Global Payments.

Savneet Singh

executive
#56

Yes.

Unknown Speaker

unknown
#57

There's also a lot of SMB players who are trying to move up market. What's kind of stayed the same? What's changed over time on the competitive landscape?

Savneet Singh

executive
#58

The biggest players in the enterprise are NCR, Oracle, and Global. That hasn't changed. I think they still have the most market share. Most of the customers we get are from those 3 or some other legacy provider. And I think that will continue for a long time. I don't think uh this is a priority business for any of them and for the 1 that is a priority business, I think they just have too heavy of a product to fix to really be competitive. So I just think it's just it's hard even if they wanted to change, you're talking about products that are 15, 20 years old, millions of lines of code, that's really hard to do it. And even if you want to do it, it's like the innovator's dilemma. How do you tell your customers that, tell your employees that? I think it's tough. You know, from the, you know, competitors from sort of outside the enterprise, there's always been SMB people that wanted to come up market. It's never really worked successfully. I think it's really hard to take an SMB product and make it enterprise. I don't know if there's a good example. I don't know if I've ever seen that. You know, there's, There is Intuit and there is SAP. There is an SMB product and usually an enterprise product. And I think it's really hard to make that the same product. And so you've got to almost completely change your stripes to go to that market. Specifically, we have incredible respect for Toast. I love those guys. I love those products. But I think the enterprise is still not – I just don't think there's enough TAM and opportunity to make it worth their time. And so at some point, I suspect economic rationalization comes in and it's like, what are we doing here? I think there's a few startups here and there, but honestly, not a ton has changed since we probably lost it last year.

Unknown Speaker

unknown
#59

Yes. Does having more people at least looking at the space, does that change any of the dynamics in competitive situations?

Savneet Singh

executive
#60

Not really. You know, it's funny. It's been almost exactly 4 years since GPT-2.0 came out. We have not seen 1 new company in an RFP since that time. So whether it's loyalty online ordering, point of sale, really not 1. And so we have not seen like tremendous change on pricing or pricing. Sales cycle, it's it's only thing that changes is the quantity of RFP has increased.

Unknown Speaker

unknown
#61

Got it.

Unknown Speaker

unknown
#62

One thing I wanted to talk about, payments was something the company has been investing in, I think more so for the table service part of the business, but probably applicable across the business. Any updates on where that product stands and how you're thinking about roadmap?

Savneet Singh

executive
#63

CHRISTOPHER COLEMAN- Yes. Still less than 10% of our net revenues, but, you know, it's growing. Uh, you know, when we sell to the enterprise, it's tough to always have payments because they've got their own deals with Fiserv or whoever to, and, but where I'm super excited about payments actually is leveraging payments in a CDP system like we've talked about. So, how do I take that, get you on our payment rails, then I can take that data, put it into our CDP, and give you incredibly high fidelity information about Will and Lance so that I can target the hell out of you and make you a loyal customer. And so a lot of times I think about how do we not sell it as payments, but sell it as a robust CDP system. And that's where I think we'll do more and more with with these larger brands. And they look at it as, I'm not getting a payments product. I'm getting something else out of it. I think we see pure payments growth is actually in online ordering. So 1 of the exciting parts of our business is we've kind of built an online ordering product that's going after our base customers. This year, 2026, it's got a 50% win rate. And that's nuts for us. Every quarter, we're winning 5 or 6 logos. About half of those come from the big legacy provider. And every single 1 of those deals has payments associated to it. And so that will be a nice driver because card-not-present transactions are very lucrative. And I think because it's the assumption, all those deals are like, you know, they go hand-in-hand. Hand-in-hand the ARPU is very very high so I think we'll continue to have good stable growth and payments but I think the online side is actually we're going to have the opportunity to do more than in the in-store can we build out the CDP idea you know, we'll see where that is in the year from now.

Unknown Speaker

unknown
#64

Got it makes sense maybe a.

Unknown Speaker

unknown
#65

A couple more financial oriented questions. You've roughly doubled EBITDA year over year. We talked about you raised the guide. How are you thinking about margin expansion and the trajectory towards a kind of Rule of 40 model?

Savneet Singh

executive
#66

Yes, I mean, I think we've said, you know, our goal was to go to kind of double EBITDA, double it again. And so, you know, last year we did [ 24, 25 ]. This year we guided, you know, I guess now we're guiding above that. So, you know, we'll hopefully do that again this year. And then, you know, we think there's a potential path to do it again next year. A lot of that is coming from the stuff we talked about, continued growth and then holding OpEx and taking out OpEx. We're obviously ahead of our expectations on EBITDA. Um and I think a lot of that is some of this AI work just became more uh more lucrative to us than than we expected, faster than we expected. Um And so, you know, to me, I don't think it takes a gigantic leap of faith to see how we can get to a really robust EBITDA number there. And then I think it's just about growth and getting us closer and closer to that Rule of 40.

Unknown Speaker

unknown
#67

The other one I had was just on capital allocation. You've got a buyback authorization. You've done a lot of M&A historically. You've done work on the capital structure to turn that out. How are you thinking about capital return, M&A, versus reinvesting in the business?

Savneet Singh

executive
#68

I think we do not need to use cash on the balance sheet to reinvest in the business. The business is self-sustaining and operating leverage is growing. So we're going to be sending out more cash than we need. And today, I mean, I think capital allocation is a dynamic question, it's not static. And so I think today, I would suspect the best use of our best return on our capital is our own shares. But that can change if a great unique acquisition comes up. Like Bridg, I would do Bridg instead of buy back our shares, because we think Bridg will unlock a lot more over time. So I think it's just where you are at the time and what generates the highest return. But we still don't want to be sitting on it, because I think our shares would provide a really substantial return. So we'd probably look to do something there.

Unknown Speaker

unknown
#69

Got it. OK. All right, just in the last minute or 2 here, how are you thinking about big picture, what is next for the company, specifically for PAR Technology of the next 12 to 18 months?

Savneet Singh

executive
#70

For us, it's pretty simple. We want to drive the profitability we talked about and deliver that return to our shareholders and become a cash flow story. And then we want to prove the power of Intelligence story. We've got to prove that AI is a growth accelerator for us. I think that if we can do that, I think we'll have a multiple re-rating that hopefully will reward the patients of what's going on now. But it's pretty simple. We've got to drive super high ROI on our AI spend, and then we've got to deliver on the cash flow numbers.

Unknown Speaker

unknown
#71

All right. Well, Savneet, thanks for joining us. Today.

Savneet Singh

executive
#72

Thanks Will. Really enjoyed the conversation. This live transcript is auto-generated without human intervention or review. This live transcript is auto-generated without human intervention or review.

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