Broadcom (AVGO) Stock Price, Chart, Fundamentals & AI Forecast

Key Takeaways

• Broadcom reported record Q1 FY2026 revenue of $19.3 billion, up 29% year-over-year, beating consensus estimates of $19.1 billion.
• Non-GAAP diluted EPS came in at $2.05, surpassing expectations of $2.02-$2.04 and up 28% from $1.60 a year ago.
• AI revenue soared 106% to $8.4 billion, fueled by demand for custom accelerators and networking; Q2 AI guidance at $10.7 billion.
• Adjusted EBITDA hit a record $13.1 billion, or 68% of revenue; Q2 revenue outlook raised to $22 billion, up 47% YoY.
• Returned $10.9 billion to shareholders via dividends and buybacks; new $10 billion repurchase authorization.
• Shares rose over 5% in after-hours trading following the release.

Earnings Context and Why It Matters

Broadcom's Q1 FY2026 results, for the quarter ended February 1, 2026, underscore its pivotal role in the AI boom amid a semiconductor industry navigating supply chain shifts and hyperscaler capex surges. Revenue growth accelerated from Q4 FY2025's 28%, driven by semiconductor solutions up 52% to $12.5 billion, while infrastructure software grew modestly 1% to $6.8 billion. This report matters for investors tracking AI infrastructure leaders, as Broadcom's custom XPUs and Ethernet switches power major cloud providers. Strong cash flows—$8.0 billion free cash flow—bolster capital returns, signaling confidence in sustained demand despite broader market volatility in tech stocks.

Earnings Expectations or Reported Results

Broadcom delivered Q1 FY2026 revenue of $19.311 billion, exceeding consensus estimates of approximately $19.1 billion and its own prior guidance of $19.1 billion, up 29% from $14.916 billion in Q1 FY2025. Non-GAAP diluted EPS was $2.05, topping expectations of $2.02-$2.04 and rising 28% year-over-year from $1.60. GAAP net income reached $7.349 billion, or $1.50 per diluted share, up 34% YoY. Key metrics shone: adjusted EBITDA of $13.128 billion (68% margin), free cash flow of $8.010 billion. AI semiconductor revenue hit $8.4 billion, a 106% surge, beating forecasts. Semiconductor solutions revenue grew 52% to $12.515 billion; infrastructure software edged up 1% to $6.796 billion. For Q2 FY2026 (ending May 3), guidance calls for $22 billion revenue (up 47% YoY) and 68% adjusted EBITDA margin, with AI semis at $10.7 billion.

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Market Reaction and Investor Sentiment

Broadcom shares climbed more than 5% in after-hours trading post-release, reaching around $335 from a $314 close, reflecting enthusiasm for the earnings beat and robust Q2 guidance. The positive response was tempered slightly by modest infrastructure software growth, but AI momentum overshadowed concerns. Investor sentiment turned bullish, with commentary praising accelerating AI revenue and $100 billion FY2027 visibility. Options implied ~8% move aligned with the upside volatility, positioning AVGO for potential recovery from its year-to-date dip amid broader semis strength.

Forward Outlook and Key Factors to Monitor

Following Q1's record performance, Broadcom's Q2 FY2026 guidance of $22 billion revenue—47% above last year—and 68% adjusted EBITDA margin signals sustained AI tailwinds. AI semiconductor revenue is projected at $10.7 billion, up 140% YoY, with custom accelerators for five hyperscalers ramping and Ethernet switches like Tomahawk gaining traction. Management highlighted a $73 billion AI backlog, line-of-sight to over $100 billion in FY2027 AI chip revenue, and supply secured through 2028. Investors should watch Q2 execution amid non-AI semis stabilization, infrastructure software trends post-VMware integration, and gross margins navigating product mix shifts. Capital allocation remains aggressive: quarterly dividend at $0.65/share (payable March 31), $10.9 billion Q1 returns, and a new $10 billion buyback through 2026-end. Broader factors include hyperscaler capex sustainability, U.S.-China trade tensions impacting semis, and glass substrate investments for advanced packaging. Upcoming catalysts: June 3 Q2 earnings, potential XPU design wins, and AI networking backlog conversion. Balanced demand signals and cost discipline will shape trajectory in a competitive AI ecosystem.

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