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Broadcom (AVGO) Q1 FY26 earnings call: guidance and Q&A

Earnings call· Feb 2026 (Q1 FY26)· Information Technology· Mar 4, 2026

Source: earnings call transcript

Executive summary

Broadcom Inc. Q1 FY26 — AI Semiconductor Revenue Surges, FY27 AI Revenue Projected Over $100B

Broadcom delivered record Q1 FY26 results, driven by exceptional growth in AI semiconductors and strong profitability. The company is accelerating its custom AI XPU deployments with six key customers, leading to a significantly raised outlook for AI revenue in 2027. Management is confident in its strategic positioning in both custom silicon and networking, securing long-term supply and driving operating leverage.

Highlights

5
  • Total revenue reached a record $19.3 billion, up 29% year-on-year, exceeding guidance.

  • AI semiconductor revenue grew 106% year-on-year to $8.4 billion in Q1, accelerating to 140% year-on-year to $10.7 billion in Q2 guidance.

  • Consolidated adjusted EBITDA hit a record $13.1 billion, representing 68% of revenue, demonstrating significant operating leverage.

  • Company projects AI revenue from chips to exceed $100 billion in 2027, with secured supply chain through 2028.

  • Returned $10.9 billion to shareholders in Q1 through $3.1 billion in dividends and $7.8 billion in share repurchases.

Concerns

1
  • Days of inventory on hand increased to 68 days in Q1 from 58 days in Q4, in anticipation of accelerating AI semiconductor growth.

Guidance & targets

CategoryTargetConfidence
Consolidated revenue
approximately $22 billion
high materiality
High
Consolidated revenue growth
47% year-on-year
high materiality
High
Semiconductor revenue
approximately $14.8 billion
medium materiality
High
Semiconductor revenue growth
76% year-on-year
medium materiality
High
AI semiconductor revenue
$10.7 billion
high materiality
High
AI semiconductor revenue growth
140% year-on-year
high materiality
High
Infrastructure Software revenue
approximately $7.2 billion
medium materiality
High
Infrastructure Software revenue growth
9% year-on-year
medium materiality
High
Consolidated adjusted EBITDA
approximately 68% of revenue
high materiality
High
AI revenue from chips
in excess of $100 billion
high materiality
High
Anthropic TPU compute capacity
in excess of 3 gigawatts
medium materiality
High
Meta next-generation XPU compute capacity
multiple gigawatts
medium materiality
High
OpenAI first-generation XPU compute capacity
over 1 gigawatt
medium materiality
High
Total AI XPU compute capacity
getting close to 10 gigawatts
high materiality
High
Non-GAAP tax rate
approximately 16.5%
low materiality
High
Non-GAAP diluted share count
approximately 4.94 billion shares
low materiality
High

Segment performance

SegmentRevenueYoYQoQMargin
Semiconductor Solutions
Record revenue driven by AI, with strong operating leverage.
Gross margin: 68%Gross margin change YoY: +30 bpsOperating margin change YoY: +260 bpsR&D as % of revenue: 8%
$12.5 billion52%—60% operating margin
Infrastructure Software
Revenue in line with guidance, with strong gross and operating margins. VMware continues to show robust growth and bookings.
Gross margin: 93%Operating margin change YoY: +190 bpsVMware revenue growth YoY: 13%VMware ARR growth YoY: 19%
$6.8 billion1%—78% operating margin

AVGO operating KPIs by quarter

AVGO operating KPIs stated on its earnings calls, by fiscal quarter
KPI Aug 2025 Q3 FY25 Nov 2025 Q4 FY25This call Feb 2026 Q1 FY26 Jul 2026 Q3 FY26Change vs prior quarter
Backlog
$110B And our current consolidated backlog for the company hit a record of $110 billion. Source: earnings call transcript
$162B And all these components combined with XPUs, bring our total order on hand in excess of $73 billion today, which is almost half Broadcom's consolidated backlog of $162 billion. Source: earnings call transcript
——+47.3%
Customers XPU——
5 Now we expect this momentum to accelerate as our custom AI XPUs hit their next phase of deployment among our 5 customers. Source: earnings call transcript
6 Our 6 XPU customers are accelerating the adoption of custom accelerators. Source: earnings call transcript
+20%

Operating figures the company stated on at least two of the calls shown, checked against each call's transcript. Click a figure to read the sentence. A dash means it was not stated that quarter.

Orderbook & backlog

VMware Total Contract Value Booked exceeded $9.2 billion Q1 FY26

Sustaining an ARR growth of 19% year-upon-year.

Product announcements

ProductTypeDetails
Tomahawk 7 switchroadmap
400G SerDesroadmap

Q&A highlights

Clarification on the $100B+ AI chips revenue (ASICs vs. networking) and management's perspective on investor pessimism regarding hyperscaler ROI given the rapid growth.

Hock Tan clarified that the $100B+ AI revenue refers to silicon content (XPUs, switch chips, DSPs). He explained that demand is driven by a few strategic customers (hyperscalers and LLM developers) creating platforms, with increasing need for compute capacity for both training and inference. He emphasized that these customers are creating custom accelerators and networking architectures, leading to sustained demand.

“I'm focusing on the fact that these are pretty much all based on chips, whether they are XPUs, whether they are switch chips, DSPs, these are silicon content we're talking about.”

asked by Blayne Curtis · answered by Hock Tan

2 min read 6 chapters

Detailed narrative

AI XPU Strategy and Customer Engagements

Broadcom is deeply engaged with six strategic customers for custom AI XPU development, emphasizing multi-year partnerships and supply agreements. The company provides unmatched technology in SerDes, silicon design, process technology, advanced packaging, and networking, enabling optimal performance for differentiated LLM workloads. This strategic approach ensures high-volume production with accelerated time-to-market and high yields, securing capacity for 2026 through 2028.

AI Networking Leadership

The company is gaining significant share in AI networking, with Q1 revenue growing 60% year-on-year and projected to accelerate to 40% of total AI revenue in Q2. Broadcom's Tomahawk 6 switch (100 terabit per second) and 200G SerDes are capturing demand from hyperscalers, with the next-generation Tomahawk 7 (double performance) expected in 2027.

The ability to use direct attached copper for scale-up networking with 200G and future 400G SerDes offers a cost and power advantage over optical alternatives.

Infrastructure Software Resilience

The Infrastructure Software segment, including VMware, continues to demonstrate strong performance, with Q1 revenue of $6.8 billion and Q2 forecast of $7.2 billion, up 9% year-on-year. VMware revenue grew 13% year-on-year, with strong bookings and 19% ARR growth. Management highlights VMware Cloud Foundation (VCF) as an essential software layer for integrating diverse hardware components in data centers, crucial for scaling complex generative AI workloads and not disrupted by AI.

Supply Chain Security and Visibility

Broadcom has proactively secured critical components, including T-glass, substrates, and high-bandwidth memory, through 2028. This foresight, combined with deep strategic engagements with customers who share their multi-year roadmaps, provides the company with strong visibility into future demand and the confidence to project AI revenue exceeding $100 billion in 2027. The company's ability to assure supply in times of constrained capacity is a key differentiator.

Operating Leverage and Capital Returns

The company achieved exceptional profitability with Q1 consolidated adjusted EBITDA reaching $13.1 billion, or 68% of revenue, reflecting significant operating leverage. Broadcom returned $10.9 billion to shareholders in Q1 through $3.1 billion in cash dividends and $7.8 billion in share repurchases. An additional $10 billion share repurchase authorization was announced, effective through calendar year 2026, underscoring commitment to shareholder returns.

Evolution of AI Accelerator Architecture

Broadcom observes a trend towards more customized XPU designs tailored for specific LLM workloads, departing from general-purpose GPU designs. Customers are increasingly developing specialized chips for both training and inference simultaneously, recognizing the strategic importance of rapid productization and monetization of LLMs. This specialization allows for greater efficiency, lower cost, and reduced power consumption compared to general-purpose solutions, driving long-term demand for custom silicon.

Summary of the company's earnings call; see how call summaries are prepared. Not investment advice.