Analyst(s): Brendan Burke
Publication Date: March 5, 2026
Broadcom’s quarter was shaped by rapid expansion in AI semiconductor revenue and a higher Q2 FY 2026 revenue outlook. Management emphasized multi-year custom XPU programs, growing AI networking mix, and continued VMware Cloud Foundation traction.
What is Covered in This Article:
- Broadcom’s Q1 FY 2026 financial results
- Custom AI accelerators scaling across customers
- AI networking mix and share dynamics
- Infrastructure Software and VMware momentum
- Guidance and Final Thoughts
The News: Broadcom (NASDAQ: AVGO) announced financial results for Q1 FY 2026. Revenue was $19.31 billion, up 29% year-on-year (YoY), versus Wall Street consensus of $19.26 billion. Semiconductor solutions revenue was $12.5 billion, up 52% YoY, and infrastructure software revenue was $6.8 billion, up 1% YoY. Adjusted EBITDA was $13.1 billion, representing 68% of revenue. Non-GAAP diluted earnings per share (EPS) was $2.1, up 28% YoY.
“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,” said Hock Tan, President and CEO of Broadcom Inc. “Our AI revenue growth is accelerating, and we expect AI semiconductor revenue to be $10.7 billion in Q2.”
Broadcom Q1 FY 2026 Earnings Driven by XPU Momentum
Analyst Take: Broadcom’s Q1 FY 2026 narrative is increasingly anchored in custom AI XPUs and the networking silicon required to scale AI clusters. Management framed its AI opportunity as multi-year and supply-constrained, with emphasis on secured capacity across leading-edge wafers, high-bandwidth memory, and substrates through FY 2028. The company also positioned AI networking as a growing portion of AI revenue, with roadmap claims tied to Tomahawk switching and SerDes transitions. In software, the company reiterated the strategic role of VMware Cloud Foundation (VCF) as an abstraction layer for AI infrastructure, signaling intent to keep software growth linked to private cloud and AI workload operationalization.
Custom AI Accelerators: Multi-Customer Ramp And Longer-Duration Programs
Broadcom’s key strategic message was that its custom AI accelerator ramp is progressing across a growing customer base, expanding from five named customers to a sixth. Management highlighted ongoing work with Google’s TPU roadmap, including the seventh-generation TPU referenced for FY 2026, and positioned subsequent generations as a driver into FY 2027 and beyond. The company also directly addressed market speculation around Meta’s custom accelerator path, asserting continuity and near-term shipments while framing next-generation scaling targets for FY 2027. Broadcom’s comments suggest that customer adoption is tied to building AI platforms (including enterprise and consumer use cases) rather than single-cycle infrastructure refreshes. The core implication is that Broadcom is trying to shift investor focus from quarterly volatility to multi-year deployment cycles tied to custom silicon roadmaps.
AI Networking: Mix Shift Toward Scale-Out And Scale-Up Connectivity
Broadcom emphasized that AI networking is becoming a larger share of its AI semiconductor revenue, with Q1 FY 2026 positioned as a step-up quarter and Q2 FY 2026 framed as a further mix increase. Management’s technology narrative centered on scale-out switching leadership (Tomahawk 6 at 100 terabits per second) and SerDes execution at 200 Gigabits per second (G), with a forward roadmap to Tomahawk 7. Management also stressed the advantages of scale-up cluster connectivity with direct-attach copper, arguing that SerDes progression can delay or reduce reliance on optical interconnects due to cost and power trade-offs. This positioning positions Broadcom switches as the fabric connecting both GPU- and XPU-based architectures, rather than being tied to a single accelerator ecosystem. The implication is that networking serves as both a growth lever and a stabilizer, as custom accelerator ramps vary by customer and generation.
Infrastructure Software: VMware Positioned As The AI Data Center Abstraction Layer
Broadcom continued to frame infrastructure software as foundational and complementary to AI infrastructure buildouts, rather than exposed to AI-driven disruption. The company highlighted VMware revenue growth and bookings/contract value as indicators of momentum, while focusing messaging on VMware Cloud Foundation’s (VCF) role in integrating CPUs, GPUs, storage, and networking into a private cloud environment. Strategically, the argument is that as enterprises scale generative and agentic AI workloads, operational complexity increases demand for virtualization and private cloud control planes. This reinforces Broadcom’s broader “two-engine” model: AI semiconductor growth paired with software cash flow and account control in enterprise IT. The implication is that Broadcom will continue investing in VCF positioning to keep AI infrastructure expansion tied to its software stack.
Guidance and Final Thoughts
Broadcom guided Q2 FY 2026 revenue of approximately $22.0 billion, up 47% YoY, compared with Wall Street consensus of $20.5 billion. The company guided semiconductor solutions revenue of approximately $14.8 billion, up 76% YoY, and infrastructure software revenue of approximately $7.2 billion, up 9% YoY. Broadcom also guided adjusted EBITDA to approximately 68% of revenue, with gross margin expected to be flat sequentially at 77%. Longer-term, management stated it has a line of sight to AI chip revenue in excess of $100.0 billion in FY 2027 and emphasized that it has secured key supply chain components to support growth. The strategic question for the market will be how sustainably Broadcom can translate custom accelerator program ramps into repeatable, multi-generation revenue streams while growing networking attach and maintaining software momentum.
See the full press release on Broadcom’s Q1 FY 2026 financial results on the company website.
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Author Information
Brendan is Research Director, Semiconductors, Supply Chain, and Emerging Tech. He advises clients on strategic initiatives and leads the Futurum Semiconductors Practice. He is an experienced tech industry analyst who has guided tech leaders in identifying market opportunities spanning edge processors, generative AI applications, and hyperscale data centers.
Before joining Futurum, Brendan consulted with global AI leaders and served as a Senior Analyst in Emerging Technology Research at PitchBook. At PitchBook, he developed market intelligence tools for AI, highlighted by one of the industry’s most comprehensive AI semiconductor market landscapes encompassing both public and private companies. He has advised Fortune 100 tech giants, growth-stage innovators, global investors, and leading market research firms. Before PitchBook, he led research teams in tech investment banking and market research.
Brendan is based in Seattle, Washington. He has a Bachelor of Arts Degree from Amherst College.
