QUALCOMM Incorporated

Ladies and gentlemen, thank you for standing by. Welcome to the Qualcomm third quarter fiscal 2025 earnings conference call. At this time, all participants are in listen-only mode. Later, we'll conduct a question and answer session. If you'd like to ask a question during this time, press star, then a number one on your telephone keypad. To withdraw your question, press star, then a number two. If you're using a speakerphone, please pick up your handset before pressing the numbers. Please submit your questions to one question and one follow-up. As a reminder, this conference is being recorded July 30th, 2025. The playback number for today's call is 877-660-6853. International callers, please dial 201-612-7415. The playback reservation number is 137-54-332. I would now like to turn the call over to Mauricio Lopez-Adoin, Vice President of Investor Relations. Mr. Lopez-Odoin, please go ahead.

Thank you, and good afternoon, everyone. Today's call will include prepared remarks by Cristiano Mon and Akash Palkawala. In addition, Alex Rogers will join the question and answer session. You can access our earnings release and a slide presentation that accompanied this call on our Investor Relations website. In addition, this call has been webcast on Qualcomm.com, and a replay will be available on our website later today. During the call today, we will use non-GAAP financial measures as defined in Regulation G, and you can find the related reconciliations to GAAP on our website. We will also make forward-looking statements, including projections and estimates of future events, business or industry trends, or business or financial results. Actual events or results could differ materially from those projected in our forward-looking statements. please refer to our SEC filings, including our most recent 10-K, which contain important factors that could cause actual results to differ materially from the forward-looking statements. And now the comments from Qualcomm's President and Chief Executive Officer, Christian Omon.

Thank you, Mauricio, and good afternoon, everyone. Thanks for joining us today. In Fiscal Q3, we delivered revenues of $10.4 billion and non-GAAP earnings per share of $2.77, which was near the high end of our guidance range. Our chipset business delivered revenues of $9 billion, reflecting strength in automotive and IoT and ongoing growth in handsets. Automotive and IoT revenues increased 21% and 24% year over year, respectively. Our licensing business revenues were $1.3 billion. Our momentum in automotive and IoT is the result of strong execution of our growth and diversification strategy. We remain on track to meet our fiscal 29 target for combined automotive and IoT revenues of $22 billion. We're forecasting fiscal 25 to be the second consecutive year of greater than 15% year-over-year growth in total QCT non-Apple revenues. I will now share some key highlights from the business. In Hensets, we extended our Xiaomi collaboration with a multi-year agreement. Snapdragon 8 series platforms will power multiple generations of Xiaomi's flagship devices for China and global markets with volume increasing each year of the agreement. The Snapdragon 8 Elite continues to set the pace of innovation in mobile processors and is leading the transition to AI smartphones with 124 designs shipped or announced today. AI usage in smartphones is increasing. For example, Samsung noted that 70% of Galaxy S25 users are utilizing Galaxy AI and usage of Google Gemini AI has nearly tripled among S25 users compared to the S24. Looking ahead, we expect the range of own device in a GenTech AI use cases will continue to expand and reshape the mobile industry. We're optimistic about the Android ecosystem's leadership in AI. As we reach the one year mark of our entry into AI PCs, we are encouraged by the steady progress we're seeing with our Snapdragon X series platforms. Multiple new devices launched during the quarter from leading OEMs such as Acer, Dell, HP, Lenovo, Microsoft, and Samsung, and we remain on track for more than 100 designs to be commercialized through 2026. Snapdragon is transforming personal computing experiences in the design traction we're seeing from major customers reflect confidence in our technology roadmap, product portfolio, and long-term commitment to PCs. In the second calendar quarter of 2025, according to third-party sources, Snapdragon-based PCs continue to make up approximately 9% of Windows laptops sold above the $600 price tier in retail US and the top five European countries. While we are at the beginning of our journey into PCs, We remain excited about the long-term opportunity and continue to work toward our target of achieving $4 billion in revenue by fiscal 29. In XR, Snapdragon continues to be the platform of choice for smart glasses and mixed reality devices. We now have 19 designs from our global partners. Demand for Meta's AI smart glasses continue to exceed expectations, and they recently expanded their portfolio with the launch of the new Meta Oakley smart glasses and introduction of new Ray-Ban styles. Xiaomi's new AI glasses launched in the quarter were also well received. All three are powered by the Snapdragon AR1 Gen 1 platform. At the Augmented World Expo USA, we conducted the world's first demonstration of 1 billion parameter model running locally on smart glasses powered by our next generation Snapdragon AI platforms. we also introduced a smart ring controller reference design as a new input device for discrete and intuitive interactions. Our Snapdragon digital chassis solutions continue to see strong traction across the automotive ecosystem, with 12 new designs during the quarter and a total of 50 vehicle launches this fiscal year. We're incredibly excited about BMW's upcoming Noya-class vehicles, which will launch globally with our new ISO safety-certified ADAS stack later this year. This will include our Snapdragon Ride platforms and our jointly developed driving stack, which meets safety standards in the U.S. and Europe. More details about the deployment, certifications, and capabilities will be shared at the IAA Mobility Show in September. Our Snapdragon Ride platforms and driving stack are also gaining momentum more broadly with 20 OEMs programs for various highway and urban navigate on autopilot solutions. The majority of these programs will launch in the next 18 months across all global regions. In industrial IoT, we continue to expand our ecosystem of partners and we're pleased with the traction of our Dragonwing platforms. At Computex, We announced new collaborations with DigiWin and ITINA to utilize our AI on-prem appliance solution and AI inference suite for enterprise automation. We also expanded our work with IBM on their Maximo AI Assistant powered by Watson X AI. Our broad range of OEMs and partners now includes companies such as Asus IoT, Dell, EverFocus, iBase, Lenovo, Deloitte, E&H, Humane, Palantir, and many others. We're also gaining traction with our industrial-grade DragonWing IQ series with up to 100 tops of AI inference performance as well as the DragonWing Intelligent Video Suite, a platform designed to extract intelligence from any video frame and create intelligent reasoning workflows for enterprises across many verticals. We've also seen continuous strength in edge networking driven by strong demand for Wi-Fi 7 gateway platforms across retail and carrier customers, and for 5G-enabled fixed wireless access platforms for our carrier customers. Now, I would like to provide an update on our expansion into the data center. This represents a new growth opportunity for Qualcomm. and it's a logical extension of our diversification strategy as we continue to demonstrate leadership in CPU performance and NPU efficiency. As inference games scale, cloud service providers are building dedicated inferencing clusters focused not only on performance, but also efficiency, specifically tokens per dollar and tokens per watt. These factors, combined with the shifts from merchant x86 CPUs to custom ARM-compatible CPUs for both cloud computing and AI head node create an entry point for Qualcomm. We're currently building NPU-based AI inference accelerator cards as well as custom SOCs for general purpose and AI head node compute solutions utilizing our Orion CPU. We also reached an agreement to acquire AlphaWave IP group PLC a global leader in high-speed wire connectivity and compute technologies for data centers, AI, data networking, and data storage. The acquisition is expected to close during the first calendar quarter of 2026, subject to customary closing conditions. AlphaWave's leading IP and data center design capabilities are key assets that will complement our Orion CPU and Hexagon NPU processors and help accelerate our roadmap. While we are in the early stages of this expansion, we are engaged with multiple potential customers and are currently in advanced discussions with a leading hyperscaler. If successful, we expect revenues to begin in the fiscal 28 timeframe. Additionally, we signed an MOU with Humane to develop AI data centers in Saudi Arabia and deliver highly efficient and scalable cloud-to-edge hybrid AI inferencing solutions for local and international customers. We also announced that our Orion CPUs can be integrated with NVIDIA GPUs for high-performance NVIDIA AI factories using the NVIDIA NVLink Fusion architecture. We will provide further updates as we make progress. Over the past 12 months, we have continued to see AI and generative AI advance at an accelerated rate and we're both excited and confident in the opportunities this is creating for Qualcomm across all our businesses. As GenAI changes the human-computer interface and agentech AI experiences continue to evolve, the mobile industry is being redefined and a new generation of personal AI devices are emerging. Smart glasses and wearables, such as smartwatches, earbuds, and other form factors are being transformed into personal AI devices as they connect the user directly to the AI agent and model. These devices are quickly transitioning from simply extending smartphone experiences to now providing new and unique personalized AI in agentic use cases. These devices will evolve independently of the smartphone ecosystem and become a significant opportunity. Given our technology leadership in mobile, XR, and wearables, and the breadth of our P and product portfolio, we expect to be the industry preferred solution provider in this new category. Specifically, personal AI devices will require Snapdragon's always-on cloud connectivity, 5G and micropower Wi-Fi, power-efficient processing, on-device AI, best-in-class imaging, audio, video, sensors, and context capabilities. Meta-AI smart glasses are currently the best example of personal AI. We're very optimistic about the trends we see in this area, with major AI players, application developers, and device makers investing in this space. Physical AI is another technology that is reshaping industries and creating new opportunities, particularly in robotics. Robotics require high-performance computing, including powerful on-device AI, extended battery life, reliable connectivity, a higher level of silicon integration, and advanced computer vision and sensor fusion to interpret and understand real-world information in real-time and make decisions locally. These requirements are perfectly aligned with our strengths in our technology and product portfolio. Our right to play in this new segment is similar to our expansion into automotive. Furthermore, our experience in industrial and safety-grade silicon, perception and sensing technologies, and ADAS and autonomy provide a very competitive foundation to develop highly differentiated solutions for autonomous robots, next-generation industrial automation, and humanoid robotics. We're incredibly excited about this opportunity for which third-party estimates indicate a potential TAM of $1 trillion in the next decade. I would now like to turn the call over to Akash.