Broadcom Reports Record $19.3B Revenue in Q1 FY2026
Broadcom reported record first-quarter fiscal 2026 revenue of $19.3 billion, driven by accelerating demand for AI-related semiconductor solutions. The company said revenue increased 29% year-over-year for the quarter ending February 1, 2026, while adjusted EBITDA reached $13.1 billion, representing 68% of total revenue. GAAP net income totaled $7.35 billion and non-GAAP net income reached $10.2 billion.
AI semiconductor products accounted for a major portion of growth. Broadcom reported $8.4 billion in AI revenue during the quarter, up 106% year-over-year, fueled by demand for custom AI accelerators and high-performance networking silicon used in hyperscale AI infrastructure. The company’s semiconductor segment generated $12.5 billion in revenue, up 52% year-over-year, while infrastructure software revenue totaled $6.8 billion, reflecting the contribution of VMware and other enterprise software assets.
Broadcom also issued strong guidance for the second quarter of fiscal 2026, projecting approximately $22 billion in revenue, which would represent 47% year-over-year growth. The company generated $8.26 billion in operating cash flow and $8.01 billion in free cash flow during the quarter, enabling continued shareholder returns including dividends and share repurchases.
- Total Q1 FY2026 revenue: $19.3 billion, up 29% year-over-year
- AI semiconductor revenue: $8.4 billion, up 106% year-over-year
- Semiconductor solutions revenue: $12.5 billion (65% of total), up 52% year-over-year
- Infrastructure software revenue: $6.8 billion
- GAAP net income: $7.35 billion; Non-GAAP net income: $10.2 billion
- Adjusted EBITDA: $13.1 billion (68% of revenue)
- Free cash flow: $8.01 billion (41% of revenue)
- Q2 FY2026 revenue outlook: approximately $22 billion
- Quarterly dividend: $0.65 per share payable March 31, 2026
- New share repurchase authorization: $10 billion through December 2026
Hock Tan, President and CEO of Broadcom, said: “Broadcom achieved record first quarter revenue on continued strength in AI semiconductor solutions. Q1 AI revenue of $8.4 billion grew 106% year-over-year, above our forecast, driven by robust demand for custom AI accelerators and AI networking.”
🌐 Analysis
Broadcom has become a central supplier to hyperscale AI infrastructure, particularly through its custom AI accelerator programs and high-bandwidth networking silicon used inside large GPU and AI training clusters. These platforms rely heavily on high-performance switching, PCIe connectivity, and optical interconnect technologies, areas where Broadcom maintains a significant presence.
Recent industry developments suggest that hyperscalers increasingly design custom silicon for AI workloads while relying on merchant suppliers such as Broadcom for networking, switching, and advanced interconnect technologies. This trend positions Broadcom alongside companies such as NVIDIA, Marvell, and AMD as key enablers of next-generation AI data center architectures.
🌐 We’re tracking the latest developments in networking silicon. Follow our ongoing coverage at: https://convergedigest.com/category/semiconductors/
🌐 We’re launching the “Data Center Networking for AI” series on NextGenInfra.io and inviting companies building real solutions—silicon, optics, fabrics, switches, software, orchestration—to share their views on video and in our expert report. To get involved, send a note to [email protected] or [email protected].
Addendum: Highlights from Broadcom’s Investor Call
- Broadcom said it is working with a small number of hyperscale customers on multi-generation custom AI accelerator programs, with design engagements extending several years into the future.
- The company indicated that AI networking demand remains closely tied to the scale-out architectures used in large training clusters, where high-radix Ethernet switching and high-bandwidth interconnect fabrics are required to connect thousands of accelerators.
- Management noted that custom AI silicon programs often involve full platform collaboration with hyperscalers, including compute silicon, networking interfaces, and tightly integrated software stacks.
- Broadcom expects AI semiconductor revenue to continue ramping through fiscal 2026 as hyperscalers expand next-generation AI infrastructure deployments.
- Executives also highlighted the role of advanced packaging and high-bandwidth memory interfaces in enabling higher-performance custom accelerators used in large-scale AI systems.
- In infrastructure software, Broadcom said the integration of VMware continues to focus on enterprise private cloud and hybrid cloud deployments, particularly in highly regulated sectors such as finance, telecom, and government.
- The company emphasized that strong free cash flow generation allows it to maintain aggressive capital return programs while continuing to invest in AI semiconductor R&D.
