Broadcom’s AI-fueled Q1: AVGO Delivers $19.3B Revenue, Raises the Bar on Cash Return and 2026 Revenue Forecast

Overview: AI tailwinds lift Broadcom (AVGO) into a higher gear

Broadcom Inc. (AVGO) reported first-quarter results for fiscal year 2026 that reinforce the market’s view of AI-driven demand buffeting semiconductors and infrastructure software. The company posted revenue of about $19.31 billion for the quarter ended February 1, 2026, up roughly 29% year over year, with GAAP net income of $7.35 billion and Non-GAAP net income of about $10.19 billion. On the margin side, Adjusted EBITDA was $13.13 billion, roughly 68% of revenue, underscoring Broadcom’s ability to convert scale into cash flow even as it allocates more capital back to shareholders.

The release casts a spotlight on AI revenue as a meaningful driver. Management pegged AI revenue at $8.4 billion in Q1, up 106% year over year, and guided toward about $10.7 billion of AI revenue in Q2. The headline numbers sit atop a broader narrative: Broadcom is not just shipping chips; it’s shipping an integrated platform that feeds into AI acceleration and networking workloads.

Key numbers at a glance

Ticker: AVGO. The quarterly print reinforces the company’s position as a diversified, AI-adjacent semiconductor/software powerhouse.
Revenue: $19,311 million for Q1 FY2026; up 29% YoY.
GAAP net income: $7,349 million; Non-GAAP net income $10,185 million.
Adjusted EBITDA: $13,128 million, or about 68% of revenue.
EPS: GAAP diluted EPS of $1.50; Non-GAAP diluted EPS of $2.05.
Free cash flow: $8,010 million after $250 million in capital expenditures; represents about 41% of revenue.
Capital return: Quarterly dividend of $0.65 per share; Broadcom also announced a new $10 billion share repurchase program.
Guidance / revenue forecast: Second-quarter revenue guidance of approximately $22.0 billion, with 68% of projected revenue expected as Adjusted EBITDA.
AI momentum: AI revenue of $8.4B in Q1; expected $10.7B in Q2.
Other notes: The company highlighted that it returned $10.9 billion to shareholders in Q1 through $3.1 billion in cash dividends and $7.8 billion in stock repurchases.

Narrative and management commentary

“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, driven by robust demand for custom AI accelerators and AI networking,” said Hock Tan, President and CEO of Broadcom. “Our AI revenue growth is accelerating, and we expect AI semiconductor revenue to be $10.7 billion in Q2.”

“Consolidated revenue grew 29% year-over-year to a record $19.3 billion. Adjusted EBITDA increased 30% year-over-year to a record $13.1 billion, representing 68% of revenue. In Q2 we expect revenue growth to increase 47% year-over-year to $22.0 billion, with adjusted EBITDA of 68%,” said Kirsten Spears, CFO. “Consistent with our commitment to return excess cash to shareholders, we returned $10.9 billion in the first quarter through $3.1 billion of cash dividends and $7.8 billion of stock repurchases.”

The tone is consistent: AI is not a sideshow; it is a structural driver that is shaping both top-line growth and capital return. The CFO’s emphasis on cash generation and a disciplined buyback framework aligns with a model that prizes durable profitability as much as rapid revenue growth.

What this means for Broadcom and sector peers

The results imply Broadcom’s blended model—semiconductors plus software—continues to weather cyclical semiconductor demand by leaning on AI-driven workloads and strong cash conversion. The AI revenue contribution is not a one-quarter wonder; the company projects continued AI momentum into Q2, with a revenue forecast that implies substantial growth ahead even as year-on-year comparisons remain robust.

For sector peers, the takeaway is twofold. First, capital discipline remains a competitive differentiator—Broadcom’s $10B share repurchase program, paired with a chunky free cash flow profile (41% of revenue), demonstrates how cash returns can be a strategic signal in an industry where volatility can stress margin floors. Second, AI relevance is reconfiguring the earnings narrative: companies that can translate AI demand into durable mix benefits stand to preserve higher EBITDA margins and sustainable EPS trajectories.

The forward-looking revenue forecast of roughly $22.0 billion for Q2, anchored by an expectation of 68% EBITDA margin, suggests management believes the AI-driven growth is not a temporary surge but a structural shift. If peers can augment core product cycles with AI-enabled software and networking capabilities, the EBITDA bridge could widen—provided competitive intensity and supply chain dynamics don’t erode price or mix.

Risks and uncertainties to watch

While Broadcom’s cash-generation profile is compelling, the earnings narrative hinges on sustaining AI demand and maintaining a favorable mix. The company explicitly notes that it cannot readily provide a reconciliation of projected non-GAAP financial information to GAAP without unreasonable effort, a reminder that some future-quarter metrics may be inherently non-GAAP by design and subject to model-specific adjustments.

As with any AI-driven semi group, execution risk lies in the pace of AI adoption, competition from other accelerators and software platforms, and macro forces that could temper enterprise IT spending. The implied Q2 revenue forecast, while optimistic, rests on AI revenue acceleration continuing in a mid-2020s environment that is still evolving.

Bottom line

Broadcom’s recent results reinforce the narrative that AI is not just a headline; it is translating into tangible revenue streams, margin stability, and robust free cash flow. With AVGO guiding to a $22.0 billion revenue run-rate in the near term and a coherent plan to return capital—via a larger dividend and a $10 billion buyback program—the company is signaling confidence in its ability to convert AI demand into durable earnings power. For investors and rivals alike, the message is clear: the market reward goes to those who turn AI momentum into steady EPS growth, not merely to those who can shout the loudest about furiously growing revenue.