RingCentral, Inc. (RNG) Earnings Call Transcript & Summary

September 10, 2026

NYSE US Information Technology Software conference_presentation 30 min

Earnings Call Speaker Segments

Unknown Analyst

analyst
#1

Okay. All right. Good afternoon, everybody. We have RingCentral here this afternoon, Vladimir Shmunis, CEO; and Vaibhav Agarwal, CFO. Welcome back to the conference guys.

Vladimir Shmunis

executive
#2

Thank you.

Unknown Analyst

analyst
#3

Awesome. Let's start with you. So how do you define the next chapter for RingCentral? And what are the 2 to 3 priorities that will matter most to making it successful.

Vladimir Shmunis

executive
#4

Next chapter is to AI across the whole portfolio externally, internally to become just like an AI-native company. Obviously, the predate AI as we know this, but we were a satiated company, and we will tie that and I think we have a very good chance of doing this again, leveraging the best of AI. And again, that will be both customer-facing as well as major revamp of all internal operations to become substantially more efficient and to better serve the needs of the market.

Unknown Analyst

analyst
#5

Okay. All right. Good level set. So ARR from customers using at least 1 of your native paid AI products now represents 13% of ARR. I think it's doubled over the past year. I guess what's driving the adoption today? And what needs to happen for it to broaden meaningfully across your customer base? Maybe we start with you a and then we'll move to Vladimir and move to Vaibav.

Vladimir Shmunis

executive
#6

Yes. Look, I mean we're happy with this progress, but there is a lot more to do. It's only 13%. It's not 30%, it's not 90%. Over time, we see touching the internal portfolio. doubling year-over-year is good. Hopefully, that will continue and maybe even accelerate. Look, there is a lot of demand. AI is absolutely becoming the new reality. For everyone, certainly for the vast majority of our customer base. It's how do you get to them? We have 600,000 companies, logos on the platform. So that's a lot. So to get through to all of them, it's the right time. So many times, we just get to talk of them around renewal times or the sorting PLG type motions as well. So we just think as a result of goodness to come. And I think we shared before, but about half of our new business, if you're looking at new logos, are taking AI. So ROA, okay? So I would say that, that would be the goalpost is to get from 13 to at least 50%, and then we'll go from there.

Unknown Analyst

analyst
#7

Is there any sort of anything to read across in terms of like the types of customers that you're landing in these earlier stages, like within the installed base or even from a new logo standpoint.

Vladimir Shmunis

executive
#8

Yes. Look, so firstly, so far, our AI has been skewing more down market. There are some very notable exceptions. But majority, I think we announced 16,000 logos last quarter. I can tell you it's meaningfully more than that now. So most of them are smaller businesses -- what -- where it plays the best but tend supply to almost our entire base anyway is there like B2C businesses, which makes us a B2B2C, okay? So where Brink shine is when we're serving businesses, whose customers are consumers who are calling or testing. And we have massive amounts of traffic on our network. Some of the numbers we shared, $40 billion minutes. We're sitting on billions of and recordings. We're processing billions of test SMS messages. So these are -- that's the cost -- and as long as consumers are calling other service providers, business providers, we are in a very good position to get in the middle of those transactions and to apply AI before a human picks up, assist the human if there is a human transfer and then do pulse processing and generate insights after the call is done. Okay. So basically, back to your question is, so what makes this customer special is there's the one dealing with consumers. And there are the ones who need help putting an AI agent at every stage of this consumer provider interaction. And we're very strongly positioned there.

Unknown Analyst

analyst
#9

Okay. Great. I want to talk about air. I was at Enterprise Connect, I think, last year when you guys introduced that product, I got to see the demo. It was really compelling fast forward to today, more than 16,000 paying customers. So maybe talk to us about like once a customer adopts error, like what does expansion typically look like? Is it primarily greater usage, deployment across more parts of the organization, adoption of additional RingCentral products and by Vaibav, feel free to opine as well.

Vladimir Shmunis

executive
#10

No, I'll start yes. Look, like I say, for now, it's been most SMB. So expansion is usage. Okay. And this is absolutely expansion, there's a lot more usage. So it's in the wake of an outcomes-based approach. But it also resulted in stickier customers. Stickier customers over time will take more products, okay with larger enterprises, sky is the limit because they can be deploying multiple agents. So we have various business models that we offer. But in the end, it is about outcomes, and there is just more outcomes to be had with larger enterprises.

Unknown Analyst

analyst
#11

And then by Bob, maybe just to expound here. You've highlighted stronger ARPU and net retention among customers that are adopting at least one AI product. How should we interpret those benefits today? And what additional proof points would demonstrate that AI is becoming material to RingCentral's overall growth?

Vaibhav Agarwal

executive
#12

No, that's a good question, and thanks for hosting us always good to see you. So look, that's a key metric for us, the RCAI adopting customers. And the reason for that is, as we are selling more bundled products, that metric shows paid AI adoption. It's showing product penetration, and it's kind of, frankly, showing quality of growth that Vlad talked about. So that metric is showing importantly that it's showing the monetization potential of AI, and it's showing that customers are more sticky because that cohort of customers have better ARPU than higher net retention rates. It's also demonstrating that customers are not just experimenting with AI. They are paying for these AI products. They are expanding the use on the platform. They are getting benefits of it, and they are staying longer. So as the adoption of AI products increases over time, it will start becoming an increasing driver of growth.

Unknown Analyst

analyst
#13

Understood. Saad, let's talk about customer engagement bundle. I think that's now 10,000 customers in a relatively short period of time. What unmet need was that addressing? And how do you see it roll alongside Rene, in CX and more of the traditional contact center offerings.

Vladimir Shmunis

executive
#14

Yes. No, it was 1,000, like I say, a bit more than that now, we're late in the quarter. Yes. No, it's our fastest-growing product ever. It's actually has a lot of AI in it as well. And it sits between an it's efficiently part of the EX, we call it a bundle. But what it is, is it's a lightweight contact center for generally speaking, with some exceptions, but generally speaking, for smaller businesses. could don't have dedicated human contact center agents. So that's a rapidly emerging category, and it's actually fairly well protected sort of call it, from the AI threat because everyone are self included with the formal dedicated contact center, what you just want to have less agents. -- cars the and AI agents can do as do a job, maybe a better job, corporate, and this is why we're investing so much into agent who is -- but with the bundle, people who pick up the phone, they're not -- they have other jobs they can be dental technicians. They can be realtors, maybe junior realtors, right? Any work of life insurance agents. They have things to do and yet people are calling them, and they're growing their business number or texting their business. Somebody needs to pick up, not necessarily with that particular in person. Many times, the interaction can be handled by an AI agent and progressively more so. So that's kind of where it sits in the portfolio. So it's basically for our higher-end PBX customers who are not yet full enterprise, and that's just a sweet spot.

Unknown Analyst

analyst
#15

Okay. Viabav, let's switch back to you. The newer AI-led products are growing rep we've talked about it extensively. But subscription revenue growth is still holding in sort of the mid-single-digit range. What needs to happen for that product level momentum to begin moving the company-wide growth rate more meaningfully?

Vaibhav Agarwal

executive
#16

Yes. Look, first of all, we've gotten growth -- the growth rates at a stabilized at a sustainable level. If you look at the last 5 or 6 quarters, we've been in a similar range in terms of subscription revenue growth. So I think that's point number one. Number 2 is we have a durable core base that is a recurring revenue model with strong retention rates and higher ARPU. So that's the foundation. And our AI portfolio, like Vlad mentioned, is growing strong. It's growing rapidly, and it's showing customer traction. Having said that, it's growing off a small base relative to the overall company, which is at $2.8 billion in ARR. So look, as AI adoption grows across the base and as we acquire new logos, it will become a more meaningful portion of the overall ARR. And be an incremental layer for growth in the future.

Unknown Analyst

analyst
#17

Okay. Great. Vlad, a bigger picture 1 for you. As communications contact center and AI come together, customers have more choices across established platforms and AI native point solutions. What is owning the underlying voice network create a meaningful advantage or where does it create a meaningful advantage? And where does RingCentral still need to improve its differentiation in the market?

Vladimir Shmunis

executive
#18

Look, so that's where the magic is. There is a network -- there is also traffic on that network, and there is data that's going -- flowing through this network. Some of it is transient, but especially with AI gets transcripted. So what's transient, how becomes fit and then the reporting like that. So it's really a combination of those. It is -- if you were to ask me in then what is your 1 differentiator is the fact that we can seamlessly combine AI agents with human agents with human representatives and we can make them work together as a cohesive team. And some of this team, again, is just a human and some of the team is new AI agents, which are obviously very rapidly evolving. So if you look at that, you have AI native purely agency companies. That's all great. They only have so much traffic, most of them. But tech-wise, they simply don't have -- they cannot light up human facing end points. And that's a very heavy lift. It took us a couple of decades, for example, okay? Anybody who drive, you're talking years, if not a hit. So that's it. That's the differentiator. And then you have people coming in from the human side, your contact center providers. And that's fine. They're kind of trying to do the same thing. Thing is, they don't have the breadth of the base. So what we're seeing is pretty competitive up there. In the enterprise, it's very, very competitive. And we have our head in ring too, but it's just -- we just find it easier to grow and to deliver value at scale in lower segments of the market with SMB, which is like 40% of U.S. economy is there. And you talk about growth being, say, still stuck in single single digits. That is true. But about 2/3 of our business is double digits and rule of 40 plus, which is exactly enterprise portion. And look, we're hoping that we can turn to send the pricing around the other than later. But the backbone of the business, we started out as an SMB company. That backbone is alive and well and healthy and double-digit growth, Rule 40 plus. So I also want to make sure that people don't get that.

Unknown Analyst

analyst
#19

Absolutely. Now you recently expanded the nice partnership and restructured the Avaya relationship as well. So how do those changes strengthen rings position in the enterprise market your point? And what would make these partnerships meaningful contributors to growth?

Vladimir Shmunis

executive
#20

Yes. Look, so with Avaya, basically, we're transitioning this ACO base to our nature rink EF. So it's just a customer-friendly gesture. Look, we speak for Avi, a very different company now than it was when we started out by the I think -- so kind of going on 9 years. And look, we're still the site provider for UCaaS so as much as there is a need, it would be met through us. But they seem to be retrenching into the very high-end enterprise on-prem and welcome that. okay? With a nice context, it's different. We've been reselling in context part of -- it's been very, very successful. We've built a multi-hundred million dollar portfolio on that. And the latest announcement was is there now saying, "Hey, why can't we also offer this complete solution as well. And it's a solution. It's still clear industry leaders coming together with best-in-class UCaaS, which is us and best-in-class CAS, which is M. And having this combined solution out there, which is otherwise not available. So it's been early. And again, they are playing also higher in the enterprise, so very long sales cycles. But they are now enabled, and we continue to be enabled with them. So we'll see what.

Unknown Analyst

analyst
#21

Okay. Good. Vaibav, let's talk about margins and investment philosophy. RingCentral has been investing more than $250 million annually in R&D but you're also expanding margins. So how do you balance investment in the core platform with the opportunity across newer AI products? And where do you see the greatest potential returns today?

Vaibhav Agarwal

executive
#22

Yes, absolutely. So yes, look, I mean, the strength of the cash flows and our expanding operating margins allow us to both invest in product and innovation and show a better profile. So and we are doing it at scale. In terms of how we are able to do it, it's a very deliberate and effort, like every investment decision in the company goes through very strict ROI criteria, whether it's time to pay back or LTV at type metrics or gross margin. So everything goes through a hurdle before we make the decision. And in terms of balancing the investments between core and AI Look, we have a large core base of customers, over 0.5 million customers we have. Look for is the foundation of the telephony infrastructure, security and reliability upon which AI is built and that's a very unique asset for us. So we continue to kind of assign dollars to that to protect and strengthen that portfolio, if you will. And increasingly, we are making more investments in the AI product portfolio, Air EVA, at an Air Pro that Vlad touched on earlier. So I think but essentially for us, it's not a choice between core and AI, like core is what the AI is built on and AI is strengthening the value of the core. So look, at the end, we have strong free cash flow is a strong margin profile, and that allows us the flexibility to make these investments.

Unknown Analyst

analyst
#23

Okay. And then as usage-based AI products start to scale and compute and model costs become a larger part of that equation, right? So how are you thinking about pricing and model optimization to preserve attractive unit economics while continuing to deliver a compelling ROA to the customer.

Vladimir Shmunis

executive
#24

Now -- we'll be doing more of it. look, so we are arbitration models as of late, more and more open source comes in. My general belief is that token pricing will be coming down, at least effective token pricing, and there always will be bleeding edge misses or whatever it is they come up with next that will be worth about the mine has issued. But at least an hour use case, you don't necessarily need that much of that stuff. Maybe you do get to Mars or something but that's not our -- that's not our thing. So we are able to do quite a bit with frontier models, but cost effectively and more and more will be looking at open source and different price.

Unknown Analyst

analyst
#25

What does that look like today, like just in terms of the complexion of sort of open sources versus Frontier. And even on the Frontier side, it almost sounds like maybe you're not using OPUS 5, but you might be using OPUS 4.6 for some of?

Vladimir Shmunis

executive
#26

So how do -- what does it...

Unknown Analyst

analyst
#27

Yes, like in terms of like the...

Vladimir Shmunis

executive
#28

We experienced. And we see, look, again, we want to do a world-class job and present world-class experience as they as possible customer. So there is constant experimentation research. And it helps that every couple of months, something new comes out, and something that was bleeding age is not being that anymore, so prices drop down. So we think it's a good thing.

Vaibhav Agarwal

executive
#29

And I'll make maybe 2 other points. So when you talk about unit economics, there are really 3 drivers, right? That is pricing. -- there is the cost associated with LLM and infrastructure that Vlad talked about. And then there is the GTM scale and the cost, right? So on pricing, look, we are being very deliberate. The idea is value-based monetization customers are paying for what they are consuming and the benefits they are getting. And frankly, a lot of customers are paying list prices for these products because there, the ROI is very tangible, both from a revenue standpoint and from a cost efficiency standpoint. And that's visible in the metric, the RCI metric wherein both ARPUs and net retention rates are higher. So that's the pricing part. On the cost part, like Vlad said, we are doing model orchestration, there is inference kind of efficiency that's getting built in and the infrastructure cost. So over time, with scale, I think these costs will come down as the models are training, inference is getting better and the price per unit is coming lower and expected to come down even lower with open source model. And then on the GTM side, our current GTM infrastructure is selling multiproducts now. So we don't need to add incremental sellers. So there is further efficiency that we are seeing from a go-to-market standpoint.

Unknown Analyst

analyst
#30

Yes, maybe expound on that a little bit. Like talk to us about a little bit of how you're deploying AI internally, like how mature that motion is relative to maybe 6, 12 months ago.

Vladimir Shmunis

executive
#31

It's a little more mature, but we had a press release on this, we actually ensured that entire product and technology workforce, that's all of the PMs plus all of the engineers, QAs included. They had to complete an AI-native project. So that's actually an effort proud of...

Unknown Analyst

analyst
#32

Anything cool come out of that?

Vladimir Shmunis

executive
#33

Yes, the cool stuff came out of that. I tell you, not everything that they were doing was ring related just first -- moving forward, everything we do is AI native because now we'll establish the baseline. And -- now there is no excuse, well, he's no hard work, they know how to extract from Jira and then to back in, if it's generated. So there's just a lot of sort of friction just education -- this is a friction because people are fighting just because like how they do this. So we're doing a lot of education. We are working closely with open AI to this day, we're working with X with and X cursor -- just to name a few, we're always pretty close to Google. So there is absolute stuff steps up going on. And more and more -- not more and more, but P&T is OAI today, okay? Analytics is AI both generated by eye and consumed by eye, okay? Other parts of the world work in progress, but next time that I'm sure I'll have more to report there. And we're seeing major efficiencies, major, major efficiencies.

Unknown Analyst

analyst
#34

Vaibhav, let's talk about margins. You expect to reach 20% GAAP operating margin, I think, in 2 to 3 years. How much of the remaining improvement comes from underlying operating leverage versus lower SBC and other factors? And how much flexibility do you retain to reinvest if the growth opportunity develops faster?

Vaibhav Agarwal

executive
#35

Thanks for the call out there. And look, our GAAP operating margins are growing faster than North GAAP. And the reason that's happening is there are 3 drivers for it. There is operating leverage in the business, which -- and then there are structural efficiencies that we are gaining with the use of AI that Vlad touched on. And then we are being very disciplined on SBC and dilution. So it's a combination of those 3 things that are allowing us to improve operating margins. If you look at our history, we've improved margins, call it, about 200 basis points every year. And again, we haven't laid out targets for '27 and beyond, but our expectation certainly is that, that will continue on that journey. In terms of SBC, we are very focused, disciplined on grants and focused on getting to the 3% to 4% target that we've laid out for the medium term. So it will be a combination of improvements in operating margins over time, SBC reduction as we go on and continue the discipline on shared rent so the 2 things put together kind of give us the confidence to be able to achieve the 20% GAAP operating margin.

Unknown Analyst

analyst
#36

Okay. And then I know free cash flow per share has become central to how you manage the business. So as you look over the next several years, I mean, what gives you the confidence that can continue to compound from here?

Vaibhav Agarwal

executive
#37

So I'll maybe answer that. I'll give you 2 perspectives. One of which is, look, we are absolutely confident in the compounding free cash flow and free cash flow per share model. Again, the drivers that are -- we -- if you look at our base, we have a large base of customers. It's a durable revenue model, recurring revenue model with strong retention rates and gross margins. So that's number one. Then a lot of operating leverage in the business, like we have 80% gross margins. So our fixed cost base doesn't need to grow in the same proportion as revenue. So as operating margin increases, that will drive more free cash flow. And on the other side, we are managing SPC and dilution and being very disciplined on capital allocation in terms of buyback paying down debt and dividends, which are incremental ways of compounding free cash flow. So when you put the top line, expanding margins, discipline on capital allocation, that's resulting in over $7 of free cash flow per share, which is where we've guided for this year, and I believe that's the best amongst our peer group. And frankly, that gave us the confidence to introduce the dividend and then expand the dividends this past quarter. So I think that's 1 perspective. The other perspective is, look, illustratively, and again, we haven't given out long-term guidance, but if I were to project the current run rate of this year's guidance of over $600 million. Over the next 3 years, we can generate close to $2 billion of free cash flow. That's 30% of the enterprise value of the company gives us a lot of flexibility. We can become debt free. We can certainly pay dividends, expand dividends over time. And keep investing in the growth of the business. So net-net, there's a lot of flexibility. We are very confident in continuing to compound free cash flow and free cash flow per share over time.

Unknown Analyst

analyst
#38

Okay. Very clear. Vlad, maybe to close out here, we've talked a lot about AI. But stepping back, what do you think changes most about how businesses communicate with their customers over the next 5 years? And where do you want RingCentral to sit in that ecosystem?

Vladimir Shmunis

executive
#39

Yes. But again, lots and lots of B2B and in particular, B2B2C communications is going sort day. And we're still a 20% shareholder. That hasn't changed it -- so we intend to build on this. How it will change qualitatively? , there will be a lot more -- and AI is not only deflecting calls or resolving calls, but it's also making humans smarter about how they do deal with things. And what we're seeing is there are just lots and lots of learnings that are coming out now once you expose to AI, it's just really, really good at pattern matching. AI is and better than as humans, even today. So who knows was going to be come out, but I think that in the end, businesses who embrace it, not just ring, but our customers and customers of our customers. But population that embraces that will be at a major competitive advantage. And certainly, we the company to be on that side of the equation. So the future is very interesting. I think it's pretty bright. It's got a bit different.

Unknown Analyst

analyst
#40

Okay. Well, that's a great place to leave it. Really appreciate both of your time. Thanks for coming out.

Vladimir Shmunis

executive
#41

Thank you.

Vaibhav Agarwal

executive
#42

Thank you.

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