10-KPeriod: FY2024

QUALCOMM INC/DE Annual Report, Year Ended Sep 29, 2024

Filed November 6, 2024For Securities:QCOM

Summary

Qualcomm Inc./DE (QCOM) reported solid financial results for its fiscal year ending September 28, 2024. The company saw a 9% increase in revenue year-over-year, reaching $38.96 billion, driven by growth in its QCT segment, particularly in handsets and automotive, and a 5% rise in QTL licensing revenues. Net income also saw a substantial 40% increase to $10.1 billion. Qualcomm continues to leverage its foundational technologies in wireless connectivity, high-performance computing, and on-device Artificial Intelligence (AI). The company is strategically expanding beyond its traditional mobile handset market into high-growth areas like automotive and the Internet of Things (IoT). The increasing adoption of 5G and generative AI capabilities across these diversified sectors presents significant opportunities for future growth. Despite ongoing competition and regulatory scrutiny, particularly related to its licensing practices, Qualcomm's strong intellectual property portfolio and market position in critical technology areas provide a robust foundation for its continued success.

Financial Statements
Beta
Revenue$38.96B
Cost of Revenue$17.06B
Gross Profit$21.90B
R&D Expenses$8.89B
SG&A Expenses$2.76B
Operating Expenses$28.89B
Operating Income$10.07B
Interest Expense$697.00M
Net Income$10.14B
EPS (Basic)$9.09
EPS (Diluted)$8.97
Shares Outstanding (Basic)1.12B
Shares Outstanding (Diluted)1.13B

Key Highlights

  • 1Revenue increased by 9% year-over-year to $38.96 billion, driven by growth in QCT (semiconductor) and QTL (licensing) segments.
  • 2Net income surged by 40% to $10.1 billion, demonstrating improved profitability.
  • 3The QCT segment saw a 9% revenue increase, largely due to higher handset and automotive revenues.
  • 4The QTL segment experienced a 5% revenue increase, primarily from higher estimated sales of 3G/4G/5G-based multimode products.
  • 5Qualcomm continues to invest heavily in research and development, particularly in AI and expanding its reach into automotive and IoT markets.
  • 6The company announced a new $15.0 billion stock repurchase authorization, signaling confidence and commitment to returning capital to shareholders.
  • 7Despite strong performance, the company faces ongoing risks related to customer concentration, competition, geopolitical tensions (especially U.S.-China), and regulatory challenges concerning its licensing practices.

Frequently Asked Questions

Qualcomm's primary revenue drivers in fiscal year 2024 were its QCT (Qualcomm CDMA Technologies) segment, which includes semiconductor products for handsets, automotive, and IoT, and its QTL (Qualcomm Technology Licensing) segment. QCT saw growth driven by increased handset and automotive revenues, while QTL benefited from higher estimated sales of 3G/4G/5G-based multimode products.

Qualcomm is actively diversifying its business by extending its foundational technologies into the automotive and Internet of Things (IoT) sectors. In automotive, it focuses on Snapdragon Digital Chassis platforms for connectivity, digital cockpit, and ADAS/AD. In IoT, it targets consumer electronics, edge networking, and industrial applications, leveraging on-device AI and advanced connectivity.

Qualcomm faces several key risks, including significant revenue concentration from a few major customers (like Apple, Samsung, and Xiaomi), intense competition from established players and potential vertical integration by customers, geopolitical tensions (especially between the U.S. and China) impacting supply chains and market access, and ongoing legal and regulatory challenges concerning its patent licensing practices. Supply chain disruptions and the cyclical nature of the semiconductor industry also pose risks.

Qualcomm is heavily investing in AI, particularly generative AI, focusing on developing on-device AI capabilities for enhanced performance, efficiency, privacy, and personalization. Its Snapdragon platforms incorporate dedicated AI hardware (NPUs) and software stacks to enable complex AI use cases directly on edge devices, aiming to make AI ubiquitous across various industries and applications.