Synaptics Incorporated (SYNA) Earnings Call Transcript & Summary
May 20, 2024
Earnings Call Speaker Segments
Peter Peng
analystAll right. Let's get started. Good morning, and welcome to JPMorgan's 52nd Annual Technology Media and Communications Conference. My name is Peter Peng, small mid-cap semiconductor analyst here at the firm. I'm pleased to have Michael Hurlston, President and CEO; and Munjal Shah, Head of IR at Synaptics here. I've asked Michael to start off here with an overview of Synaptics, a summary of the March quarter and June quarter outlook, and then we can kick off the Q&A.
Michael Hurlston
executiveSure, Paul. Thanks for having us, right. Appreciate the opportunity to come in and chat. So Synaptics is a broad-based semiconductor provider. We service almost every different market that there is. We break our business down into 3 distinct lumps to help people understand it a bit better. One is mobile. And in our mobile business, primarily, it's touch controllers that get sold into high-end Android phones. The second business that we talk about is enterprise and automotive and that, as the name would imply, we have semiconductor solutions that go into enterprise-class goods, whether that be PCs, enterprise telephony, docking station. So we've got a multitude of different businesses in there. And then, of course, we have exposure to automotive. Our automotive business is primarily today the solution and that drives the displays in cars. And then the third business that we talk about is core IoT. Core IoT is made up of a processing piece that we spend a lot of time on this particular call talking about. We've branded it Astra, looks like Google is now out talking about Astra. So we'll have a little dispute with them on that. And then our wireless business, which is predominantly Wi-Fi. So we've got a bunch of different technologies in our wireless basket, but really the most important to us is Wi-Fi. Paul, you asked about the last quarter, I think it was in line with expectation. What we saw was our core IoT, this basket of processors and wireless doing quite well and our enterprise and automotive sort of bubbling along at what we would consider a bottom level. And into the guide, we showed, again, more growth in core IoT with enterprise coming up a bit, enterprise and automotive. I'd say, in general, we've been a little bit surprised by the lack of recovery, I would say, in our enterprise and automotive business. We would have expected had you talked to Munjal and I probably 3, 4 quarters ago, we would have expected that to pick up a bit more strongly. It hasn't. And then our core IoT business is performing largely as we expected. It's grown very rapidly, albeit off a small base but it's grown nicely, and we'd expect that business to continue to grow.
Peter Peng
analystGot it. Okay. Let's kind of just turn to the near-term stuff because there's a lot of emphasis on the recovery profile. So if we look at the consensus estimates. TheStreet is forecasting sequential growth through the second half of the year and into 2025. Just given your visibility orders and new product ramps, how are you thinking about the recovery profile?
Michael Hurlston
executiveYes. I mean I think that TheStreet has taken down the numbers over the last couple of cycles, and I think that's fair. I think that our -- we definitely see a recovery. It's been slower than we would have expected, as I said, primarily driven in that enterprise and automotive business, the enterprise and automotive business, we don't see anything sort of structurally wrong, but the demand profile has been weaker and the recovery less strong. And that's predominantly driven by spending in the enterprise -- IT spending in the enterprise and IT spending in the enterprise that I think is growing, albeit relatively modestly. But for the most part, it's going towards data center, server spend and not toward the things we play in, the gadgets and PCs that the sort of hardware, small hardware that sits in the enterprise. So I'm still -- Munjal and I have talked about this, we feel like there is -- the recovery is there. We're putting that into our numbers. It's just been the slope of that recovery that's probably not quite what we would have expected had you talked to us 2, 3, 4 quarters ago.
Peter Peng
analystGot it. And after several quarters of under shipping consumption trends, I think the team noted that inventory levels are sort of normalizing across multiple product areas. It's always hard to gauge your inventory levels at your end customers. So what's -- I guess, what's -- I mean the best way is probably to monitor the booking trend. Are you seeing positive booking trends out of your kind of direct customers?
Michael Hurlston
executiveYes. No, I think bookings have definitely improved. We had, again, 4, 6 quarters ago, we had really very, very weak bookings. Bookings have definitely improved. We feel good about the order rate that's coming in. Do we feel like that's consistent with what we would call the real demand, no. It's still not there. The bookings are not consistent with what we would call pre-pandemic demand and pre-pandemic demand for us is quite a bit higher than we are today but I don't believe we have an inventory problem anymore. I think there's pockets here and there. But for the most part, inventory has been cleared out. And now we've got an order flow that's much higher than it was 4, 6 quarters ago, but not where we would expect it, were we at sort of our fundamental levels of demand.
Peter Peng
analystOkay. On the gross margin, you have a target of 57% longer term, but just help us understand how you get back to those levels? And what are the drivers for getting back to those levels?
Michael Hurlston
executiveYes. The gross margin for us has sort of bottomed out at 52%. I mean we were at 62%, 63%, maybe 2 years back, it fundamentally fell off because of mix. Our enterprise and automotive business is, by far, our highest gross margin segment of the business. That has been where we've seen significant demand problems and as such, the gross margin has been greatly impinged. With that said, it's come up about 50 basis points over the last couple of -- 50 basis points a quarter over the last couple of quarters. So we've seen quite a bit of improvement. I think our guide is to 53.5%, if I remember correctly. So we've come off the bottom from a gross margin perspective as the mix has improved. But in order for us to get back to 57%, we really need to see our enterprise and automotive business get back to a level that would drive the gross margin up. It is by far our highest gross margin. That's well above that 57% type of target and we expect it to get there, but I think it's going to take a little longer than we would have forecast.
Peter Peng
analystOkay. On your our design win pipeline has been pretty strong in 2023 and missed a pretty severe semiconductor downturn. I think it's pretty reflective of your differentiated technology and product portfolio. Do you continue to see strong design activity into 2024? And how are you seeing the different end markets behave from a design win perspective?
Michael Hurlston
executiveYes. I think we're doing well in 3 areas Paul, one is our wireless products. I mean we are coming off a small [ broad-based ]. We don't have very significant market share. And we feel like we're winning at an outsized rate in the wireless business. So we've positioned it well. Wi-Fi, there's a lot of different competitors, but it doesn't take a lot of movement in the share profile for us to have a significant impact on the company. And we think we are generally taking share in that business. Longer term, we're excited about our processors and where we have differentiation there is on the AI component. I mean, what's AI. Nobody knows, but everybody wants to future-proof these devices that are at the edge. And our play, as you know, is not having AI in the data center, the NVIDIA, Intel, AMDs of the world that have done so well in that business. It's more now running models at the edge of the network and having the ability to do inferencing on chip rather than depending on the data center itself. And there are just a ton of emerging use cases that are coming up with that type of product. And our customers are kind of innovating alongside us. We feel like that's going to be something that is a very, very differentiated part of the portfolio, one that won't hit for some years. It won't hit probably for 2 years. But we -- given our design trajectory there, we feel really, really good about that being a meaningful contributor. And then the third area, and I know you've got some questions about that later, is our TDDI, right? Our automotive business. Our automotive business has some puts and takes. But on the put side, is the drive to have more larger displays and have an integrated touch and display technology that goes into those larger displays. So we are winning at an outside right rate there. We feel really, really good about our pipeline in automotive, and it's just a matter of seeing those designs through and getting them into production.
Peter Peng
analystOkay. Switching to your business, the core IoT. So within your core IoT segment, the wireless business represents the largest portion of the revenue mix and is one of the fastest-growing opportunities. You have a solid position in the high-performance segment on the IoT market with your Wi-Fi/Bluetooth combo chip. You have the Wi-Fi 6, the 6E upgrade cycle and then you have some new products like your Wi-Fi 7 and then your broad market chipset later this year. So as you emerge from this downturn, how well positioned is this business?
Michael Hurlston
executiveYes, this is -- I would say this is our best positioned business. We're -- we've invested in this. We've -- as you know, the history of that business was taking a design database from Broadcom and repositioning and retargeting what Broadcom had done very well, which is executed in the mobile phone space and move it to the IoT and we did that, I think, very, very well. And now on top of that, we are starting to take and bring to market our own designs. So for the first year, 1.5 years, 2 years, we were simply taking Broadcom devices and then reselling them into a new market. Over the course of the last year, we've started introducing our own products. And those are much more geared toward the IoT market, you have to take cost out of those chips for it to really make sense. And so we've got a much better cost point, as you correctly said, in this high-performance area. High performance typically means distributing video. So you're moving video over a wireless link and that ideas for that market segments are security cameras. That's a big segment for us. The other segment is a good one is like set-top boxes, OTT streamers. We've done super well in that segment. But really for us to expand the wireless business, we need to go into the broad market. And broad market or appliances, home automation, industrial applications. And for there, you definitely need a much lower cost point, which we think we can bring. Our engineering team has been working on this now for the better part of 2 years, and we think we can redesign, rearchitect the Broadcom database and bring its cost point down to a level that makes sense and we can get gross margins that are consistent with this 57% gross margin target you mentioned a second ago. So we feel really good. I mean, I think we've done a good job from an engineering perspective. Those chips, the broad market chips, the first ones will sample at the end of this calendar year, and we would expect those to start contributing meaningfully at the very end of our fiscal '25. As you know, our -- we're on kind of midyear but more meaningfully in 2026. And then the other initiative that we have going is Wi-Fi 7. So Wi-Fi 7 will give an ASP uplift will create a new design cycle around the high-performance area, the security cameras, set-top boxes, things like that. We think we're first to market with a Wi-Fi 7 device for the Internet of Things. And that, too, will be sampling to customers at the end of the calendar year, and we'd expect that to contribute again in late fiscal '25, early fiscal '26.
Peter Peng
analystAnd kind of leads to my next question is you're taking costs down as you leverage for core technology and high performance to go into the broad markets. It's also a more fragmented customer base, more distribution. So maybe help us some of the initiatives that you're trying to build out in your broad market channel business.
Michael Hurlston
executiveYes, that's definitely, I think, our challenge. We have the right products, both in the processor domain and the wireless domain. What we don't have is a channel. We've not done as well as some of the broad-based microcontroller guys and even some of the wireless competitors that we have, have done a much better job building out that sales channel. We are -- historically, we've been structured to go after very large customers, Amazon, Google, things that companies that service the Internet of Things, but are much, much larger. That's the way our sales force is set up. So we have kind of a multitiered plan to get into the channel. The first is on our wireless products, module makers, people that take the semiconductor solution, package that up with power amplifiers, other RF circuitry and even some passives and put it into a package. It's like a system in package type of approach. They -- interestingly enough, they also have a pretty big channel. And they have customer support, software support engineers that can go and service that channel. So we've actually, on the wireless side, spent a lot of time over the last couple of years developing module partners. We've had one that we've talked about that represents a big, big chunk of our revenue, and they've done a super job for us selling into a diversified customer base, but we're in the process of bringing it up a couple of more, and those will help us with the scaling problem. As we build behind it, the necessary infrastructure for the channel. On the processor side, it's a bit different. Again, we're going to market first with ecosystem partners and helping them and they help us sort of leverage the technology and go broader. We are going to need to move more quickly there to build up a channel. So intersecting this sort of 2-year time horizon that we've talked about with our AI processors, we need to build up the structure of a larger sales channel. And we've started working on that now. We're already talking to distribution partners. More importantly, we're taking care of the things that we can control, a unified SDK that's very easy for customers to use, a lot of the collateral, a lot of the self-help that they go to the web to go get answers so they don't have to come into our support team directly. We feel like we're building that out in parallel. And when we land and get really, really ready to go broadly with our process or our AI processor products, we should be in good shape from a channel perspective. But for sure, you called it out right, Paul. That is something that's a work in process for us. We figure we've sort of solved this in reverse where we have a very, very good handle on the products but we need some work on the go-to-market piece.
Peter Peng
analystOkay. Before we kind of move on to some of your AI initiative, take a pause and see if there's any questions from the audience. Just raise your hand and we'll pass the mic over.
Harlan Sur
analystYes. Thanks, Mike. Thanks, Munjal, for joining us today. As we cover a lot of semiconductor companies, much like yourselves, many of them are coming from the bottom of the cycle. And the question for a lot of our companies is there's still some inventory correction, inventory burn with some of your customers, some of your customers have stabilized. Some of your customers are starting to drive you guys to ship to consumption. So I know it's always difficult when we're at this part of the cycle, but I'm just wondering if you have a sense of -- you guided for, I think $245 million in revenues for the June quarter. I'm wondering, as you talk to customers, look at distribution, sell-through and so on, what do you think -- where do you actually think that the normalized level of demand sits relative to that sort of $245 million guide in the June quarter?
Michael Hurlston
executiveGood question, Harlan. Look, I think we were sort of the first company to enter this downturn. Just by virtue of the exposure to end markets that we have, we were sort of first in. We were sort of the first also to call the bottom, right? So we called the bottom a couple of quarters ago. And while we haven't seen the uptick, we haven't seen any further downtake. Where we see things, it's been a complex issue to explain in that we think the inventory is now largely washed out. We see pockets, but the -- to first and second order inventory is not our issue. Our challenge is that the demand, the actual -- so we think we are now shipping at this moment, what is the demand? We think, again, to sort of first order, we're shipping right at where the demand is. And to Peter's question, bookings are consistent with that sort of view. But what we think is -- and we definitely hear that from our customers, this is not what they would expect in the real world when everything sort of shakes out, they expect demand to come back in -- to a much higher level than we are today. When that is, is a TBD. We would expect that if you ask me, I would say, hey, back half of the year, we would start seeing a lift, but we would have felt probably 2 quarters ago that we would start seeing the lift now. So we would expect that there is going to be a lift not because of inventory but just because the demand itself is depressed, mostly, again, in our business, now this is more specific to Synaptics is that we have this enterprise business that when we talk to the IT guys that are controlling the budget, they're allocating their dollars toward AI, toward data center build-outs and away from PCs, hardware, they're sweating those assets for longer than they did previously. But at least as far as I see, there's nothing systemic in it, we would expect demand to come back. And when it does, our numbers will come up.
Peter Peng
analystOkay. Maybe just talk about some of the AI initiatives. So AI is beginning to proliferate at the edge, right? It's where the inference is done on the device to minimize latency. The team has recently launched the Astra IoT compute platform to intercept this growing demand trend. So maybe just give this opportunity for you to talk about how this platform works, what kind of technology are you embedding it in the platform and the opportunities that you see?
Michael Hurlston
executiveNo, we're super excited. I mean I think we've already been asked a set of questions this morning about it. We launched it in April officially, but we've been out talking to customers about the platform even before that. And we already have design wins. Those design wins will take a while for it to start hitting the numbers just by the fact that this is the first decision that customers are typically going to make in a new product is what's the processor that's going to drive their next-generation goody. But we already have wins and we're pretty excited about those. There are meaningful wins in the area. And what we have is we have a range that goes from a microprocessor, think about a full-throated processor that can run an Android, that can run a real operating system can be run under the hood. 2 and 4 core capable of teraops of inference, very, very, very strong offering. We think we're the first to have a true AI offering that's at the edge. People are talking about it, people are making a lot of noise. We have it. Our customers have it. They're already working on designs that they're embedding in their next-generation devices. What's interesting about it is, again, an underappreciated problem is the compiler. You need to take this code that's trained, that's developed in the data center, that's the model, and you need to be able to now compile that onto the chip itself and run it locally. And that -- there's compression in that. There's memory optimization that needs to take place in the compiler. We have that compiler technology, too. That was an acquisition that we did probably 2 years ago that turns out it's a really key piece of the puzzle. What we can bring in this area, again, is use cases. So we're innovating alongside our customers. Our customers might have very simple people identification types of use cases or they may have more complex use cases where they're trying to actually do face ID or something like that. We can do that. We can do all of that on chip at the edge of the network. And then we also have an MCU, so a microcontroller-type product that, again, is extremely innovative because it's designed for low-power use cases. I would go in a battery-powered camera. I would go into electronic shelf label, I would go into anything with a very small battery that's going to need some measure of AI. And what we've done here is we have the ability to kind of ratchet up the power as different events occur. So let's assume that it's operating in a very steady state. We're consuming microwatts of power. It's a very, very, very low power consumption device that is running and able to detect events. And then when it does detect an event, when something happens, okay, is that -- let's talk about a security camera example. Is that a squirrel, is that a cat, is that a person, it now steps up to the next level of power consumption. It's an innovative technology, we call it gears. Now it moves into from first gear, it moves into a second gear. And there, you're going to consume a little bit more power. You're going to be doing some more inferencing. You're trying to make a determination, as I say, okay, what is that object? Oh, it's a person. Okay. Now it moves to a second gear, a new gear. And now it's trying to say, okay, well, is this a person that we recognize and understand should be on the property? Or is this somebody that shouldn't be there. So at each level, and each gear, we're consuming more and more power, but the whole idea of the chip is to be able to operate it because 98% of the time during this very, very low power consumptive state, and you want to be able to operate off a battery. And we are able to do that by having an extremely low power at that level, but then ratchet it up as we're making more and more decisions and doing more and more inferencing. So the microcontroller, we think, again, is a very differentiated AI product. And we now have products that span from an MCU all the way to an MPU, 4 core MPU again, is able to do teraops of compute and one software stack, one that extends from top to bottom. So our customers, many of whom are going to use an MCU and in some cases, use an MPU or microprocessor type of unit they can get from us one SDK, one software load and have that extend across the entire portfolio. So it's the compiler, it's the actual ability to do AI, which we have today, and it's the extensibility of the software, Paul, that really gives us, I think, a differentiation at a level that nobody else has at this moment.
Peter Peng
analystYou mentioned some of the design wins that you initially seek. Can you just kind of provide some color on what end markets are you or end applications are you seeing the strong demand pull from?
Michael Hurlston
executiveYes. I mean I would say 3 interesting ones. One is kind of the home appliance, home automation market. We seem to be doing relatively well there. The second is security. So we talked a little bit about the security camera use case, and it might be a processor that goes into a central control unit that is doing a lot of the compute there and the central pulling information from cameras and things of that nature. And they say the third is video conferencing, interestingly enough. And the video conferencing use case seems to be able to enhance video quality, sound quality, depending on the link. We're able to do that actively. I mean, it seems very, very simple, but you have a lot of differences in sound and video quality over these Zoom links, and we're able to manage that, and our customers find that pretty darn compelling.
Peter Peng
analystIn your last earnings call, you talked about a $20 billion SAM opportunity for this Astra platform. Maybe can you just kind of flesh out some of the revenue potential that you can see for Synaptics and the go-to-market strategy here?
Michael Hurlston
executiveYes. I mean, look, Synaptics has been characterized generally by having a very dominant position, whether you think about our docking station business or our audio headset business or even our PC Touchpad business, we have a very, very dominant share and frankly, small markets. And so we are using that dominance in those small markets to generate the cash and allow us to invest in a couple of really big markets that are very fragmented. And those are wireless, right? Everybody understands the wireless semiconductor market, it's pretty competitive. And this processor opportunity. So if we're able, as you correctly said, our calculation is a $20 billion SAM of things that we can go after, and that excludes data center, automotive, big markets that we don't intend to pursue we -- if we can move the needle even slightly and become 1% of that, 10% of that, whatever, that's a big move for Synaptics. And so we feel like we're on track to be a meaningful player. It's not we're never going to get to 50% share or 80% or 90% share like we have in some of our other businesses, but we most certainly can become a 10% player in this large market. And we think we have already the design traction. It's probably not a $1 billion or $2 billion design traction. We already have the early signposts that we have the runway to build into that kind of number over time.
Peter Peng
analystOkay. Just kind of switching to your enterprise and automotive. Another area that you guys have AI exposure is your PC segment, right? The inventory digestion is now behind us. There's a lot of optimism around the new AI PC launches for the second half of this year. Our tech team is forecasting a 3% to 4% AI penetration rate this year and then 10% in 2025. Maybe just help us frame the opportunity set here for you guys?
Michael Hurlston
executiveYes. Look, I mean, we kind of go as the PC units go. And we talked about this on our call. We've not seen orders that would indicate a big bounce in the second half. We hear the exact same thing that you're reading out, Paul, which is that there's a lot of optimism around growth in the second half in the PC sector driven by the AI PC. We haven't necessarily seen orders consistent with that. But if it happens, look, it's good for us. I mean, we would -- we have exposure in the PC. We have an AI chip, actually, that goes in the PC that a lot of people talk about, and that's the user presence function. That opportunity alone for us is something that we think we can build on. It's a very small piece of our business today, but we think it's something that can grow for us over the next couple of years. But if units increase in that PC market, it's good for us. We haven't seen orders that would be consistent with that.
Peter Peng
analystAnd then your enterprise segment, it's things look like it's bottoming out. You're imposedly also guiding that there's going to be maybe modest sequential growth in the June quarter from my perspective, and you sort of alluded to it, it seems like companies are kind of reprioritizing spending to AI. So maybe just talk about how do you see the long-term structure health of this end market.
Michael Hurlston
executiveYes, I don't think that there's any thing that's changed in our view as to structural health. We think that there's a demand level, we're undershipping the demand level. We certainly are again, inventory issues are behind us, but we feel like the demand -- the natural demand of PC, the PC units are down, we know that. Docking stations are down considerably, right, relative to where we'd expect them. Audio headsets, which we have exposure too, down. Enterprise telephony, down. All below what we would consider sort of the normal demand rate. And to your previous question, until we get some return in that, our gross margin is going to be impinged because those are our best gross margin businesses. When we talk to the IT managers, they know that they've sweat these PCs a lot longer than they need to. They've sweat the docking station assets, headset assets for a lot longer than they would in a normal cycle. So we'd expect it to come back. We expect demand to increase. We'll see what next year brings. IT budgets are typically set at the end of the calendar year, as you know, and it goes into the next calendar year 2025. There's nothing that would lead us to believe that there's not going to be some step-up in IT spending, but it's probably too early to call that because the IT budgets haven't necessarily been set.
Peter Peng
analystOkay. One more final question. Back -- I mean it kind of ties back to it. Back at your Analyst Day, you talked about a 10% to 15% revenue CAGR. I guess what's the confidence level in getting back to those growth rates?
Michael Hurlston
executiveYes. I mean we talked about high growth in core IoT, right, that, that would be growing at a pretty good clip above the 10% to 15% and we've seen that. The core IoT, I think, has done actually quite well over the past couple of quarters, delivering outsized growth. So that's happening. I think the issue that's impinged our overall growth is the choppiness in enterprise and automotive. And we've spent the balance of the discussion talking about that. We don't think that there's anything structural in that business. That business should be growing at sort of 3% to 5%. This guide is in line with 3% to 5%, but I wouldn't be surprised if it continues to chop along for the next couple of quarters until we see an inflection in enterprise IT budgets and that's when I think you're going to see that business return to sort of a 3% to 5% CAGR with our core IoT growing something much higher than that.
Peter Peng
analystOkay. With that, time's up and thanks.
Michael Hurlston
executiveThank you for Paul.
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