Risk Factors Dashboard
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Risk Factors - QCOM
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Item 1A. Risk Factors” below, as well as those discussed elsewhere in this Annual Report. Readers are urged not to place undue reliance on these forward-looking statements, which speak only as of the date of this Annual Report. We undertake no obligation to revise or update any forward-looking statements in order to reflect any event or circumstance that may arise after the date of this Annual Report. Readers are urged to carefully review and consider the various disclosures made in this Annual Report, which attempt to advise interested parties of the risks and factors that may affect our business, financial condition, results of operations and prospects.
PART I
Item 1. Business
We incorporated in California in 1985 and reincorporated in Delaware in 1991. We operate and report using a 52-53 week fiscal year ending on the last Sunday in September. Our 52-week fiscal years consist of four equal fiscal quarters of 13 weeks each, and our 53-week fiscal years consist of three 13-week fiscal quarters and one 14-week fiscal quarter. The financial results for our 53-week fiscal years and our 14-week fiscal quarters will not be exactly comparable to our 52-week fiscal years and our 13-week fiscal quarters. Our fiscal years for 2024, 2023 and 2022 included 53 weeks, 52 weeks and 52 weeks, respectively. Our fiscal years for 2023, 2022 and 2021 included 52 weeks. Our fiscal year for 2025 will include 52 weeks. Our fiscal years for 2023, 2022 and 2021 included 52 weeks.
Overview
We are a global technology leader, helping to bring intelligent computing everywhere through the development and commercialization of foundational technologies, including 3G (third generation), 4G (fourth generation) and 5G (fifth generation) wireless connectivity, high-performance and low-power computing and on-device artificial intelligence (AI). Our technologies and products have helped power the growth in smartphones and other connected devices. Our inventions have helped power the growth in smartphones and other connected devices. We are scaling our innovations across industries and applications beyond mobile handsets, driving digital transformation with our ecosystem partners in areas including automotive and the internet of things (IoT). We are scaling our innovations across industries and applications beyond handsets, including automotive and the internet of things (IoT). In automotive, our Snapdragon® Digital Chassis™ platforms, including connectivity, digital cockpit and advanced driver assistance and automated driving (ADAS/AD), are helping to connect the car to its environment and the cloud, creating unique in-cabin experiences and enabling a comprehensive assisted and automated driving solution. In automotive, our connectivity, digital cockpit and advanced driver assistance and automated driving (ADAS/AD) platforms are helping to connect the car to its environment and the cloud, creating unique in-cabin experiences and enabling a comprehensive assisted and automated driving solution. In IoT, our inventions have helped power growth in industries and applications such as consumer (including personal computers (PCs), tablets, voice and music and extended reality (XR)), edge networking (including mobile broadband and wireless access points) and industrial (including handhelds, retail, tracking and logistics and utilities). In IoT, our inventions have helped power growth in industries and applications such as consumer (including computing, voice and music and extended reality (XR)), edge networking (including mobile broadband and wireless access points) and industrial (including handhelds, retail, tracking and logistics and utilities). We derive revenues principally from sales of integrated circuit products, including our Snapdragon® family of highly-integrated, system-based solutions, and licensing of our intellectual property, including patents and other rights.
The foundational technologies we invent help power modern digital experiences.The foundational technologies we invent help power the modern mobile experience, impacting how the world connects, computes and communicates. We share these inventions broadly through our licensing programs enabling wide ecosystem access to technologies at the core of mobile innovation, and through the sale of our integrated circuit platforms (also known as integrated circuit products, chips, chipsets or modules) and other products. We innovate and collaborate across many ecosystems, including with manufacturers, operators, developers, system integrators, cloud providers, test tool vendors, service providers, governments and industry standards organizations, to enable next-generation digital transformation. We innovate with purpose and collaborate across many ecosystems, including with manufacturers, operators, developers, system integrators, cloud providers, test tool vendors, service providers, governments and industry standards organizations, to enable a global environment of continued progress and growth. For nearly 40 years, we have been a leader in setting industry standards and creating era-defining technology breakthroughs, and we continue to play a leading role in developing system-level inventions that serve as the foundation for multiple generations of advanced wireless technologies. This includes technologies such as CDMA (Code Division Multiple Access) and OFDMA (Orthogonal Frequency Division Multiple Access) families of technologies, with the latter encompassing LTE (Long-Term Evolution) and 5G NR (New Radio), which are the primary digital technologies currently used to transmit voice or data over radio waves using a public or private cellular wireless network.
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We own significant intellectual property, including patents, patent applications and trade secrets, applicable to products that implement any version of CDMA and/or OFDMA technologies. We also develop and commercialize numerous other key technologies used in mobile and other devices and services, and we own substantial intellectual property related to these technologies. Some of these inventions are contributed to and commercialized as industry standards, such as for certain video and audio codecs, Wi-Fi, position location, UWB (ultra-wideband), Bluetooth®, memory and component interconnect. We have also developed other technologies that are used by wireless and other devices that are not related to industry standards, such as operating systems, user interfaces, graphics and camera processing functionality, RF (radio frequency), RFFE (radio frequency front-end) and antenna designs, AI and machine learning techniques and application processor architectures, among other technologies.
We are organized on the basis of products and services and have three reportable segments. We conduct business primarily through our QCT (Qualcomm CDMA Technologies) semiconductor business and our QTL (Qualcomm Technology Licensing) licensing business. QCT develops and supplies integrated circuit platforms and system software with advanced connectivity and high-performance, low-power computing technologies for use in mobile devices; automotive systems for connectivity, digital cockpit and ADAS/AD; and IoT including consumer electronic devices, industrial devices and edge networking products. QCT develops and supplies integrated circuits and system software based on 3G/4G/5G and other technologies, including RFFE, for use in mobile devices; automotive systems for connectivity, digital cockpit and ADAS/AD; and IoT including consumer electronic devices; industrial devices; and edge networking products. QTL grants licenses or otherwise provides rights to use portions of our intellectual property portfolio, which includes certain patent rights essential to and/or useful in the manufacture and sale of certain wireless products. Our QSI (Qualcomm Strategic Initiatives) reportable segment makes strategic investments. We also have nonreportable segments, including QGOV (Qualcomm Government Technologies) and our cloud computing processing initiative. We also have nonreportable segments, including QGOV (Qualcomm Government Technologies) and our cloud computing processing initiative (formerly referred to as our cloud AI inference processing initiative).
Industry Trends
As the largest technology platform in the world, mobile has transformed the way we connect, compute and communicate. Advanced connectivity and high-performance, low-power computing technologies from mobile are also impacting many industries beyond wireless, empowering new services, new business models, and new ways to engage and interact with customers. Our breakthrough inventions and licensing programs have been integral to the demand and evolution of the mobile industry.
Artificial Intelligence. Advancements in processor technologies have enabled the distribution and coordination of complex workloads across the cloud and edge devices to provide enhanced performance and efficiency across use cases. Advancements in processor technologies have enabled distribution of complex workloads across the network, with more computing done in edge devices where data is generated. Given the proximity to raw data, edge device computing allows for more context-aware processing, reducing response time, improving privacy and security, and enabling greater personalization. Given the proximity to raw data, edge computing allows for more intelligent processing, reducing response time, improving privacy and security, and enabling greater personalization. With increased processing power, mobile handsets and PCs are becoming pervasive AI platforms, with complex large generative AI algorithms running on-device, enabling on-demand and contextual AI use cases at a fraction of the energy required by cloud-based applications. As wireless connectivity complements on-device generative AI, edge devices enable enhanced productivity use cases, while intelligently processing and sharing data with cloud-based applications as needed. As 5G wireless connectivity complements on-device generative AI, edge devices enable enhanced productivity use cases, while intelligently processing and sharing data with cloud-based applications as needed. Building on the smartphone and PC foundation, we envision generative AI becoming ubiquitous, continuing to expand into industries and applications such as IoT, XR and automotive. Building on the smartphone foundation and the scale of mobile, we envision generative AI becoming ubiquitous, expanding beyond smartphones into industries and applications such as compute, IoT, XR and automotive.
Significant investment continues across many industries in the development of complex large language models (LLMs), more tailored small language models (SLMs), large vision models (LVMs), large multimodal models (LMMs) and other generative AI models, which are beginning to change the landscape of the user experience. LLMs and SLMs (e.g., GPT-4o and Llama3) are used for text-based natural language processing applications such as answering queries, document summarization and creation, LVMs (e., GPT-4 and Llama2) are useful for text-based natural language processing applications such as answering queries, document summarization and creation, while LVMs (e. g., Stable Diffusion and ControlNet) are used for image and video processing, and LMMs are used to understand and process multiple types of data inputs or modalities such as text and images. They are disrupting traditional methods of search, content creation, recommendation systems and personalized digital assistants, offering significant enhancements in consumer utility and productivity. While these generative AI models are developed primarily for use in the cloud, we believe that the variety of innovative enterprise and consumer use cases that have emerged and will continue to emerge from generative AI must run on-device to maximize their utility, and bring the benefits of immediacy, privacy, security and personalization to consumers. We expect continued advancement in the generative AI capabilities of edge devices and increased adoption of generative AI capable technologies in handsets and other edge devices. For example, analysts estimate that 46% of smartphones sold in 2027 will be generative AI capable, up from 19% in 2024 (Counterpoint, October 2024).