Arlo Technologies, Inc. (ARLO) Earnings Call Transcript & Summary

September 9, 2026

NYSE US Information Technology Electronic Equipment, Instruments and Components conference_presentation 33 min

Earnings Call Speaker Segments

Unknown Analyst

analyst
#1

Covering tech services here for Citi Research. Matt McRae here from Arlo Technologies. Great to have you here, Matt. Welcome to the conference.

Unknown Analyst

analyst
#2

This is a name that's a little bit new to me as well. So for investors, I think are new to the story, maybe let's dig into what you believe the market opportunity is today for Arlo and where does Arlo fit in the broader connected home ecosystem?

Matthew McRae

executive
#3

Yes. So Arlo -- for those that are very unfamiliar with the story, we are a spin about 8 years ago from a company called NETGEAR, who was in the home networking business. And they were looking to develop products that would utilize a lot of the wireless networks at home to try and trigger upgrades for people to buy the latest wireless router standard and hit upon video as a use case that would eat up a lot of bandwidth and drive people to a new router. And decided that there was -- Roku had just started and there were some streaming set-top boxes and figured that wasn't the right area and hit upon the idea of DIY, do-it-yourself security and built the first Arlo camera nearly, I think it's over 11 years ago now, maybe 12 years ago. And it took off like a rocket. So the market since then has really been going through a transition from what we call DIFM or do-it-for-me, meaning installers coming and building home security systems in your home to DIY, which is do-it-yourself. So the technology that Arlo created in the market segment that we actually created was really around simplicity, powerful visual-based security and driven from the idea that you could take 2 or 3 cameras and install them in 20 minutes. So that market that was 100% DIFM 10, 12 years ago is now about 16-plus sometimes as high as 70% DIY, and the rest of the market is now about 1/3 of the market. So that's the shift. Now the other thing I would tell you about the size of the market is independent studies and surveys show that about 20%, it's anywhere from 18% to 22% of broadband households in the United States now have a camera or some kind of visual-based security that they can access through the Internet. And we always -- I've been in the consumer space a long time with -- across multiple companies. And right around the 15% to 20% is when you move from early adopter, maybe tech-forward type customers and market segment into mass market. And so we think we entered that transition about 1.5 years ago. And we're seeing that in many ways. One is we're seeing a new group of customers coming and buying the product. But we're also seeing the transition of -- for instance, we're seeing Walmart be a bigger part of the market than was historical over the last 3 years, and that's usually a signal that's going in mass market. So our view is the next 30 million households in the United States alone will probably come on and become connected with digital-based security in the next 3 to 5 years.

Unknown Analyst

analyst
#4

Services make up roughly 60% of the business right now. What are some of the important strategic decisions that enabled that transition? And I guess, how do you think about expanding that base going forward?

Matthew McRae

executive
#5

Yes, it's a great question. And again, it goes to the history of the company. So when we spun, we were really a hardware company at that time. So we were -- it's all about the hardware margin and just trying to sell as many widgets as you could in any quarter. But it was clear at that moment that home security is really a services business, right? You're providing an ongoing value proposition to that end user. And so after we spun, we set about basically transforming the company from a hardware first to a services first organization. And that was a change in the culture. It was a change in the road map. It was a change in finance and accounting practices and which metrics we're chasing, it changed everything in the company. So I'd say the genesis of that transition happened probably right at our IPO, which was in the middle of 2018, took about 2.5, almost 3 years to actually really transform the company at its DNA into a services company. And if you look, we crossed over not only service revenue being a bigger portion of our revenue than hardware, but from a profitability perspective, probably about 2 years ago, and it's just been a rocket ride ever since. So you're going to see that continue. Certain metrics you look at, we're looking at our service revenue growth year-over-year, approaching -- we want to stay around 20%. So still be one of the fastest-growing companies in the space. We've also seen gross margin, so blended gross margin across the company has gone from 30% to 40% to 50%. And we think we're on our way to 60% is where we want to target over the next couple of years. Operating margin as a company, too, was negative when we were a hardware company, broke through into positivity, and we hit almost 20% in the last quarter. So I would say we're in that 15% to 20% positive operating margin headed towards 25%-plus over the next few years.

Unknown Analyst

analyst
#6

Should we think of hardware, and we've seen this other companies that have transitioned into more of a service-based model. Is hardware more of like a customer acquisition tool?

Matthew McRae

executive
#7

Yes. So the way we look at it, it was a dial we turned slowly as we transition the company to services. But once we hit about 2 million -- 2 million to 3 million paid subscribers, I think it was around 2.5 million, the economics and the profitability of the company transformed to the point where we could really look at hardware as CAC. So as part of our customer acquisition cost, we measure ourselves on hardware unit sales because that brings new households into the funnel. We measure ourselves on blended gross margin. So even if the hardware goes negative margin, what we're always doing is looking at the blended gross margin expanding. So it's a good way to be disciplined around the overall profitability of the company growing. And then we measure ourselves on things like LTV to CAC ratios to make sure that our CAC is still at a very healthy level against the value of the customers that we're actually bringing to the table from a shareholder value perspective. And just to give you a couple of numbers, our LTV is approaching $1,000. I think it was $976, $967 last quarter. And typically, our CAC is anywhere from $200 to $300. So our LTV to CAC ratio at the beginning of the year was about a 4x which is considered world-class, and we'd like to keep it between a 3 and a 5 and it moves up and down depending on promotions in that.

Unknown Analyst

analyst
#8

And $300, I'm sorry, $300 CAC.

Matthew McRae

executive
#9

Yes. $200 to $300 CAC on $1,000 LTV. So you can see every time we lean in and produce additional households, the shareholder return is actually very, very high.

Unknown Analyst

analyst
#10

And how do you think about pricing on the services? Is that -- do you have a tailwind there? Is there a sensitivity? Can you just walk through some of those?

Matthew McRae

executive
#11

Yes. So a couple of things. When we made our transition, one of the things that we tested early on was the pricing elasticity on hardware versus service. And what we quickly found out is that consumers are much more sensitive to the upfront cost of the hardware. So making that initial purchase. So how much value are they getting? How many cameras can they buy for a certain budget? How hard is it to install as well. So do they have to hire somebody to install or not is part of the cost equation. But once they're a subscriber, they're relatively insensitive to price because of the amount of value we're providing. So our ARPU right now on average on our retail and direct is just over $15. A couple of years ago, that was closer to $11. So we've had ARPU increasing substantially over time. But most of our competitors in the broader security space are typically anywhere from $40 to $60 or even $70 a month. So we feel we're nowhere near the kind of the ceiling of where we can go. And our typical road map is, we will produce a lot of new functionality, new services, new features into our service tiers and then look to earn a price increase in that following year. So it's a little bit of a tick-tock type timing. So this year, you'll see us introduce a lot of new features in the coming weeks and something we call Arlo Secure 7, which will be a new version of our subscription services, setting us up for potential ARPU enhancement increases next year.

Unknown Analyst

analyst
#12

I definitely want to get into the platform in a bit here. But I guess before we get to that point, I want to position Arlo against maybe some very large brands out there that are very platform-centric, have lots of bells and whistles, DFIM (sic) [ DIFM, ] even DIY. How should we think about Arlo's wedge in the market here? What are some of the differentiating factors that Arlo has?

Matthew McRae

executive
#13

Yes. So if you look at the competitive landscape, it's really, I would say, in 2 major buckets and one of the buckets has a little sub bucket maybe. So if you look in the retail and direct space, you've heard of names like Ring or Nest, and then there's a lot of smaller competitors in that retail space. We're a solid #2 there. I would say Ring is #1, mostly because they own the channel. So they own Amazon, they spend a ton on marketing. But we're happy being in that #2 and having a more innovative service, a much more profitable business, and we think we're getting the best customers out of that retail space. So it's -- and we even see Google kind of pulling back and some of the other brands are starting to consolidate a bit in the retail channel. And as the services business has become a larger component of the overall business and specifically our P&L, a lot of the entries that come into the market, whether they're overseas, Chinese, Taiwanese coming in and building just hardware and trying to sell that, it's very difficult to stay competitive because we can go negative easily on the hardware because all of our economics come on the service. If you don't have that service component, it's extremely hard to be competitive long term. So that's on the retail side. I would say it's really Ring and Arlo battling it out in the retail space, and we're seeing some consolidation that we think we can take advantage of over time.

Unknown Analyst

analyst
#14

Our work in this space has also shown that integration is a major, major factor here. I mean everybody has -- can't use multiple apps to manage their home. They want integrated control center, no other way of saying it. I do want to talk about the platform a little bit, but in particular, the Secure 7 release, which -- there's been a lot of investment ahead of that. Can you just walk us through kind of what that enables, what sits underneath the platform? It seems like it's such a strategic asset.

Matthew McRae

executive
#15

Yes, it really is. So we've -- especially as became very cash flow positive and started building up cash reserves, it's really moved to a more formal capital allocation plan as a company. And that includes stock buybacks. It includes a small acquisition we made, we may talk about it in a few minutes. But it also deals with our organic investment in the platform, especially over the last 3 to maybe 4 years. One of the things that's happening is the AI level layers in the service is getting more and more sophisticated. And we've always been at the forefront of developing those new technologies and rolling them out. So to give you an idea, we rolled out probably what is one of the world's first consumer subscription AI services in the world. In 2018, we rolled out a subscription service around object detection and computer vision using AI capabilities. And I remember at the time, we called it AI and it actually freaked users out, so we changed the computer vision because AI wasn't even being talked about and people didn't really understand what it is, and it's kind of gone through, I guess, a bell curve where people are getting freaked out about it again.

Unknown Analyst

analyst
#16

Coming along.

Matthew McRae

executive
#17

Yes. That's how long we've been doing this, right? So we created the first object detection. Is it a person? Is it a package? All that almost 8 years ago and have been building on that. The overall road map of where we see AI going in the space is, one, is moving from detection. And now what we do is recognition. So I can see facial recognition, but we also do vehicle recognition. So is that my wife's car in the driveway? Is it an unknown car in the driveway? We started doing custom micro models and all these things in that area. Where it's moving next is interpretation or assessment. So we're -- one of the things you'll see from Arlo Secure 7 is the beginning of what we call threat assessment. And that's not just trying to detect objects in a scene. It's actually looking at the overall event. So do I see a person? What are they holding? What are they wearing? What time of day is it? Are people home? Are people not home? Do I see a person at the front door and the back door at the same time? Are they approaching a window versus the door? So we take all of this information in and the AI interprets a threat level to that event and then can trigger certain responses based on that. Most security systems, actually all security systems today are binary, right? They either do nothing or they call the call center, the police and set off the siren. And so it's either on or off and there's no in between. What threat assessment allows us to do is actually score things on a much more granular level. And so if it's nothing, maybe we don't even give you a notification. Maybe it's something interesting, we give you a normal notification. Maybe it's at night and something looks suspicious and we can give you an escalated notification that punches through any do not disturb. And then if it's really high on the threat level, we can actually dispatch first responders without even contacting you and then letting you know that it's already happening. So it's a much more powerful area. Its interpretation and assessment of what's happening, not just, is there a package at the front door. So I think that's going to open the next maybe 2 to 3 years of innovation in that area. And then you brought up platform, kind of broader platform. The other thesis we're operating under, and you'll see a little bit of this in Arlo Secure 7, but a lot more in Arlo Secure 8, not to get ahead of ourselves. But the smart home and home security is really becoming smart home security. So we see those worlds combining. What's interesting is there's a lot of incremental benefit from the smart home capabilities. For instance, we could develop a lot of those devices and capabilities into our threat assessment. So maybe if somebody does approach your house late at night, it could turn on all the lights or flash the lights or do something to actually deter and it's actually using your smart home to actually become part of your security layer, right? But what's interesting also is almost all of the economics, especially on a recurring revenue model from smart homes are coming from security. So people don't pay for a smart lock on a monthly basis. They don't subscribe to their smart light bulbs. What they do is they subscribe to security. And so the economic comes from the security element of the relationship and the control and the end user. But really, what's happening is it's going to become smart home security combined, and that you'll see start to ratchet up over the next couple of years as well.

Unknown Analyst

analyst
#18

The reasoning functionality, that's fascinating. You can think about all of the applications that you could tie to that and personalization involved in that as well. Wow. That's fascinating. And the revenue opportunity here, is it a significant up-step? Or do you think it's just -- it's going to be more of a market share play?

Matthew McRae

executive
#19

Yes. I think it's both in a way because, again, I think we'll be at the forefront. It will be great for the brand. It will drive people who are interested in the latest capabilities to come to Arlo for that from a marketing perspective. But also, I think you'll see it shift our ARPU higher as we mix people into higher-tiered services, have the opportunity to maybe increase price as that gets into the marketplace. And that will be paired with a new platform launch that we'll do next year from a hardware perspective as well. So a lot of that organic investment, you'll see some of it in Arlo Secure 7 in the next couple of weeks and a big part of it about probably next summer, Q3 of next year, and that's part of our capital allocation plan. I was telling an investor at one of the meetings this morning that we -- it almost felt like we were getting to a plateau of capability in the space when you could pretty much detect any object and be able to recognize people and cars and everything. And I would say over the last 12 months to maybe 18 months, there was a punch through to this more interpretive intelligent reasoning capabilities that have risen to the level that I think we're going to see another 3 to 5 years of intense innovation and ability for us to extract additional value from customers that are getting something real, something beneficial from our subscription services.

Unknown Analyst

analyst
#20

And I guess we're also starting to hear more about like WiFi sensing as another potential technology, which is amazing, the potential that we can do with that. That's fascinating. I do want to dig into that capability, that computer vision layer -- the intelligence layer that Arlo has from your perspective, what's unique about it? What's unique about Arlo's AI strategy? And where do you believe the company has an advantage?

Matthew McRae

executive
#21

Yes. So first, we were one of the first to build most of these models and actually get them deployed. So we have a very deep team, a bunch of PhDs that work on this quite a bit. And we often get the question of why aren't you using off-the-shelf models or why are you developing this internally? And I would tell you our experience is that focused technology and specifically if we talk about AI, models that have been trained, built to solve very specific use cases perform dramatically better than a big generic model that you're trying to ask questions of specific things. So I'll give you a couple of examples of that. So even when you do person detection or package detection, a big generic model, if you ask it, is this a package or not or is this a person or not, they're trained on pictures of people that they're pulling from stock photos and newspaper articles and all those kinds of things. When in reality, when you actually deploy a security system in the field, most cameras are mounted up in the top corner, and they're looking at people from a downward angle in most cases, right? And it turns out those generic models can only get to a certain accuracy level. We train all of our models on real security footage, stuff that's taken from real security environments, real deployments around the world. And so our models are dramatically more accurate. That's one example. Another example is if you use these large models, they can be very expensive. They can be compute-intensive. When you build a model that's specifically trying to determine what's at the front door, is it a threat or not? Is it a package? Is it doing certain things and you can boil the model down, not only is it potentially more accurate because of your training, it's also faster, it's cheaper, right, and much easier to scale across the business. In fact, we can scale our model so well that we actually do something called micro models. So if we have one person type in, did I leave my trash cans on the curb? We can build a little micro model and actually put that in that user's account. Somebody else could type in, did I leave the back gate open? And it can put that model in that account. And those are specific user-specific models that aren't even pulled into our main model, and so they're private. And they're not shared from a training perspective or actual execution perspective. So those are some of the benefits. So scale, speed, one of the things in security is latency matters, right, very much. So you want to be able to interpret a scene as it's unfolding within tenths of a second, not multiple seconds. So the smaller models actually perform better from a consumer perspective as well. So what we typically do is we will start with a bigger models, figure out what we're trying to hone in on from a great user experience, start building our own internal models side by side. And relatively quickly, our models perform better, are less expensive, are faster and can be deployed a lot quicker, relatively quickly, and that's typically what we go to market with.

Unknown Analyst

analyst
#22

In some of our other work on the security business, we do focus a little bit on how the use case for security is where false positives and miss detections are major super important kind of elements of the quality of the service. Where do you think Arlo needs to do better than its competitors for AI to become more of a true differentiator rather than just a feature?

Matthew McRae

executive
#23

Well, I think there's multiple vectors. So one, it has to be faster, better, all the things we already talked about, just from a raw performance perspective, and we're definitely there. From an accuracy perspective, it's 2 things. It's one is that training I talked about. So training on real-world data instead of just stock photos and kind of general training is really important. What's interesting, too, is when you tune for security, false negatives are actually much more important than they are in the normal world of just trying to determine is it a person? Is it something else for other purposes, right? Because if missing -- having a false negative, meaning there's actually something at your door and you totally missed it, it's a big event for the end user. False positive, where maybe I thought there was a person, but it turned out it was a tree that looks like a person, is less important. So some of the tuning of the models and what you allow from a false negative or tuned for on false negative versus positive is very different than what most of the general models are tuned for as well. So that's important. And then just like we talked about before, I think it's extraordinarily important that Arlo stays at the forefront. We were the first with person detection, first with package detection, first with vehicle recognition still the only one, the only one in the world with micro models. We're going to be the first in the world with any kind of interpretive threat assessment. So we will stay at that forefront. But again, part of that is because we're so focused on what we do. We have an entire team that wakes up every morning and tries to build the best security experience in the world. We're not waking up every morning and trying to build this massive generic model that is supposed to pass the bar exam, teach you to cook a recipe and maybe also figure out if there's intruder at your front door. So it's a very different business model, and it's proven, I think, extremely effective, and it's a big differentiator for Arlo.

Unknown Analyst

analyst
#24

It's a huge tech benefit purpose built. Absolutely. I do want to touch upon the acquisition of Aloe Care Health, expanding the company in the aging in place in the wellness monitoring kind of business. Why don't you give us an overview of that opportunity, what drove you acquire the company?

Matthew McRae

executive
#25

Yes. So it's part of our -- I mentioned our capital allocation plan around organic investment, which we just talked a lot about. We're doing stock buybacks. Historically, you should expect us to probably do more at the current stock price. And we made our first real acquisition earlier this year. And we've always told investors that if it's going to be in an adjacency or kind of a new market, it will be a relatively small acquisition. If it's in our core market, it could be bigger. This is an example of a small acquisition that moves us into the smart aging or the age in place market. Small company, huge potential. So to give you a little bit of background, the market for age in place in the United States alone is around $26 billion, $27 billion right now, very antiquated technology. If you're familiar with Life Alert and some of these really old pieces of tech that haven't moved forward. No AI to be speak of in any way, terrible user experiences, if there is a user experience at all from an app perspective. But that market is going to grow from about $26 billion, $27 billion to nearly $300 billion in the next 5 to 10 years. So you're looking at a tenfold increase in that market. And that's driven from technology and other things, but also just demographic changes of the aging population. 1 in 5 to almost 1 in 4 Americans will be over 60 years old in about 5 to 10 years. So it's a huge movement, and there's a big push across all the industry, including the government, insurance and everything, to have people stay home longer. That means they need to be monitored to make sure that it's a safe place. And safety and security is what we do. So Aloe Care is a really interesting small acquisition, and we really purchased them for 2 reasons. One, they had the most interesting tech-forward innovation forward pipeline from a road map perspective, we had ever seen. So they have a very innovative hub. They can check monitoring conditions. It checks movement. It can do 2-way phone calls. They have an AI calling service that can check in and have a discussion with the user. It actually transcribes all that, can flag concerns to caregivers. It's amazing technology, and that's just starting to roll out. And they're also moving towards fall prediction. So you'll see some solutions out there where somebody wears something and it detects a fall. That's good. What's much better is if you can actually predict the fall before it happens, right? And so you can do that through environmental measurement. You can do that through data analysis and radar. You can do that through the discussions and transcribing. Did they sleep well? Do they not? Are they dehydrated, all that, movement through the house, if there's a lot of movement at night, that can mean there's an infection or something. And so actually being able to predict fall is considered the holy grail of being able to really help people at home. They're pretty far down building an AI model that can detect fall. So that's one. The other reason we are really excited about the company is they have a pipeline of potential partners and deals. We announced one recently, expect another couple of announcements in the next couple of quarters. But we believe that the revenue from this piece will grow dramatically in '27 and then continue from there. The other, there's a lot of synergies long term in the road map. The ability to sense things in the home and call first responders, it's very similar in a lot of ways. And I think some of the AI models will continue to kind of be able to benefit from each other. And we're finding a lot of homes where you want to check and make sure your parents are safe at home, also means you want to make sure they're secure at home. And so we believe a lot of these households will both use an agent place solution inside to monitor the safety of the person while they're home, but also the perimeter security. And so you'll probably see over the course of 2 years, us bundling subscriptions together that nobody in the market has done before.

Unknown Analyst

analyst
#26

That's fascinating. As a user and having elderly parents in that situation. That's fascinating. You recently discussed additional growth vectors beyond core consumer, including service provider insurance partnership opportunities in the SMB market. How should we think about the next phase of expansion? And where do you see the most compelling opportunity?

Matthew McRae

executive
#27

Yes. So post spin, one of the things we did is we worked really hard to diversify the revenue for Arlo as we were transitioning simultaneously to a services business. And so what that meant is when we spun, we were primarily and actually almost solely a business selling through retail partners, so the Walmarts, the Best Buys, Costcos of the world. We specifically built our platform to be partner aware in a lot of ways, and it's built for partnerships. So Verisure is a very large partner, if you're familiar with their story. They're similar to an ADT, they're in Europe. They just went public actually last year, had about 6 million-plus subscribers. We're their primary camera provider and run all their visual AI systems in the back. We just recently signed a deal with ADT and are doing the same for them in the DIY space. They just launched. We'll see them ramp through this year and probably ramp a lot more next year as they get into more channels. We just announced Comcast as a partner as well. They have 31 million broadband subscribers. We're in the middle of integration with them and hope to launch with them in the middle of next year. That will provide additional growth in the second half of '27 and a full year impact in '28. We have a deal with Samsung and some others. When Kurt and I look at how we get from where we are to our long-range plan, which is 10 million-plus subscribers, $700 million in ARR, and I mentioned the 25% operating margin. We think about 60% of that incremental growth from where we are and how we're getting there is going to come from these strategic partners. And we talked about how Arlo is, I think, the strong #2 and the more innovative #2 in the retail and direct business. In the partnership channel, we feel we're #1. We're winning predominantly almost all of the major partnerships over there. And I think it's because we're focused on the space. This isn't a side hustle for us like it is with some of the large companies. This is all we do. And we also have a very deep, deep focus on data privacy, data security. And like I said, we've built a platform specifically for partnerships. So we have robust APIs with documentation, source code. And so when somebody partners with us, they're seeing the most secure platform on the market, the most innovative feature sets and road map and a very robust set of APIs and documentation to get them up and running really quickly.

Unknown Analyst

analyst
#28

Fascinating IP, very interesting distribution, which I don't at least in my analysis of the space, I haven't seen before. I do want to talk about, though, some of the things in terms of trust and which is foundational to connected home products, and there's obviously a lot of chatter about this topic. How does Arlo think about privacy, data protection, responsible use of AI? Are there red lines? How should we think about Arlo branding itself with all these AI products?

Matthew McRae

executive
#29

Yes. It's core to everything we do, and it's core to the culture of the company. So we approach it, I would say, in a very unique fashion compared to all of our competitors in the space. We collect a lot of data and it's private. It's totally encrypted. But we believe, and this is even in our policies, it's not our data. it's your data as a user, right? And we're processing it and storing it on your behalf. So we never do anything else with that data than what you expected us to do for it. We don't sell it. We don't use it for advertising. We don't use it on an e-commerce site with some of the other companies out there. We have very strict data security policies. We're the only company I'm aware that actually has a cybersecurity and data privacy Board committee with Board guidance and governance over this entire space. So it is a massive differentiator for us. And I think it's not only helping us in the consumer market, but it's one of -- like I mentioned, it's one of the main reasons why some of the largest companies in the world are willing to and comfortable partnering with Arlo over some of the other companies that are out there.

Unknown Analyst

analyst
#30

I can imagine touching health care in particular.

Matthew McRae

executive
#31

Actually, so it's funny you say that. So I just completed my training for HIPAA. That's me and Kurt's laughing. We know all the executives. So we decided as part of the Aloe Care acquisition that we might -- we're not yet, but we might be starting to collect information that would be borderline health related, right? And we had a couple of choices as a company, which is, okay, should we silo that data in a different repository in our cloud infrastructure and just treat it separately and try and kind of firewall it against other stuff? Or do we actually envelop it and we turn the entire company into a company that's even another level of privacy and data security and actually have the entire company become HIPAA compliant instead of just this one little section. Pretty easy. We made the decision very quickly to say, you know what, it's another level of our commitment around privacy and data security. We're going to have the entire company become HIPAA compliant. So we're going through that process right now. And that's ahead of future road map items that might be able to integrate some of this data in some interesting ways.

Unknown Analyst

analyst
#32

That's quite a stamp, quite a stamp. So next year, when you're here and we're talking again, what is -- we think is going to be the hottest topic?

Matthew McRae

executive
#33

Yes. So let's see what's that, September, I would hope we're sitting here talking about some of the partners we already named launching and ramping. I would hope that we have another 2 to 3 partners that are of sizable scale and that we'd be able to characterize the growth that we're going to see in this Aloe Care acquisition and what the year-over-year is going to look like with some very large deals that are driving material revenue on that side.

Unknown Analyst

analyst
#34

I'm looking forward to it.

Matthew McRae

executive
#35

Yes.

Unknown Analyst

analyst
#36

Thanks again, Matt.

Matthew McRae

executive
#37

Thank you.

Unknown Analyst

analyst
#38

Great to have you.

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