AVGO Q1 2026 Earnings Analysis
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Key Highlights
- Revenue and earnings analysis for Q1 2026
- Key financial metrics and performance indicators
- Management guidance and outlook commentary
- Market position and competitive analysis
- AI-generated insights and analysis
Transcript
// Full episode scriptBeta Finch Podcast Script: Broadcom Q1 2026 Earnings
Welcome to Beta Finch, your AI-powered earnings breakdown. I'm Alex, and I'm here with my co-host Jordan to dive into Broadcom's absolutely explosive Q1 2026 results. Before we jump in though, I need to mention that this podcast is AI-generated content for educational and entertainment purposes only. Nothing we discuss should be considered investment advice. Always do your own research and consult a qualified financial advisor before making any investment decisions.
Thanks Alex. And wow, where do we even start with these numbers? Broadcom just delivered what might be the most jaw-dropping AI revenue guidance we've seen yet. We're talking about a company projecting over $100 billion in AI chip revenue by 2027.
That's right, Jordan. Let's break down the headline numbers first. Q1 revenue hit $19.3 billion, up 29% year-over-year, crushing their guidance. But here's the kicker - they're guiding for Q2 revenue of $22 billion, which represents 47% year-over-year growth. Their AI semiconductor business alone grew 106% year-over-year to $8.4 billion in Q1.
And that acceleration is only speeding up. They're projecting AI revenue to grow 140% year-over-year in Q2 to $10.7 billion. But Alex, what really caught my attention was CEO Hock Tan's confidence about 2027. He said they have "line of sight" to achieve AI revenue from chips - just chips - in excess of $100 billion in 2027.
That's an incredible statement, Jordan. And he backed it up with some pretty specific customer details. They now have six major customers for their custom AI accelerators, including a new addition - OpenAI. Let's talk about what he revealed about each customer.
Absolutely. For Google, they're continuing strong demand for seventh-generation TPUs with even stronger demand expected in 2027. Anthropic is scaling from 1 gigawatt of TPU compute in 2026 to over 3 gigawatts in 2027. And here's something interesting - Tan pushed back hard against reports that Meta's MTIA custom accelerator program was dead.
Right, he was pretty emphatic about that. He said Meta's roadmap is "alive and well" and they're already shipping, with plans to scale to multiple gigawatts in 2027. Then there's the new customer, OpenAI, which is expected to deploy over 1 gigawatt of compute capacity in 2027.
What struck me most was Tan's explanation of why these partnerships are so strategic. He emphasized that for these customers, custom AI accelerators aren't optional - they're strategic necessities. These companies are competing against each other and against NVIDIA, so they need the absolute best chips, not just "good enough" ones.
And that competitive advantage seems to extend beyond just the chips themselves. Broadcom is also crushing it in AI networking. In Q1, AI networking revenue grew 60% year-over-year and represented one-third of total AI revenue. In Q2, they expect that to jump to 40% of total AI revenue.
Their networking success is fascinating, Alex. They're the only company with a 100-terabit-per-second switch - the Tomahawk 6 - and they're planning to launch Tomahawk 7 in 2027 with double the performance. Tan made a great point about how they're helping customers stay on direct-attached copper instead of moving to more expensive optical solutions.
Now, Jordan, I have to ask about the elephant in the room. With AI revenue growing this explosively, what about their other businesses? Their infrastructure software segment, which includes VMware, seems to be holding up well.
That's a great point. VMware revenue grew 13% year-over-year with strong bookings exceeding $9.2 billion. Tan was very clear that their infrastructure software "is not disrupted by AI." In fact, he argued that VMware Cloud Foundation is essential for enterprises running generative AI workloads.
Let's talk margins for a moment. With all this growth, are they maintaining profitability?
They absolutely are. Adjusted EBITDA hit a record $13.1 billion, which is 68% of revenue. And despite some analyst concerns about margins potentially declining as they ship more complete rack solutions, both Tan and CFO Kirsten Spears pushed back, saying gross margins should remain stable at around 77%.
One thing that really stood out to me in the Q&A was how Tan addressed competition. When asked about customer-owned tooling - essentially customers trying to design their own chips - he was incredibly confident about Broadcom's advantages.
His response was fascinating, Alex. He said that while anyone can design a chip that works in a lab, very few companies can produce 100,000 of those chips quickly at acceptable yields. He emphasized Broadcom's 20-plus years of experience in silicon design, advanced packaging, and networking.
And they've clearly secured their supply chain. Tan mentioned they've locked up capacity for key components through 2028, including the infamous advanced packaging that everyone's talking about. That's strategic positioning at its finest.
Looking at the numbers differently, one analyst tried to estimate gigawatts of compute across customers and came up with around 9-10 gigawatts for 2027. At roughly $20 billion per gigawatt, that math starts to make sense for their $100+ billion projection.
What's your take on the investment thesis here, Jordan? This seems like a company that's positioned itself at the absolute center of the AI infrastructure buildout.
I think that's exactly right, Alex. They have strategic, multi-year partnerships with the six companies that matter most in AI - Google, Meta, Anthropic, OpenAI, and two others they didn't name. These aren't transactional relationships; they're strategic partnerships where Broadcom is essentially the silicon partner enabling each company's AI strategy.
And unlike the broader semiconductor sector, which can be cyclical, this feels different. These AI companies aren't just buying chips for a project - they're building the compute infrastructure for what could be the next phase of the internet.
Exactly. Tan made a great distinction between what he called "transactional and optionality" purchases versus strategic, long-term roadmap investments. Broadcom is clearly in the latter category with these customers.
Before we wrap up, Jordan, what should investors be watching for going forward?
I'd watch for continued execution on those customer commitments, progress on the next-generation networking chips like Tomahawk 7, and whether they can maintain those impressive margins as they scale. Also, any updates on expanding beyond those six core customers could be huge.
Great points. This feels like we're witnessing a company at the center of a massive technology shift, with the financial results to prove it.
Before we sign off, I want to remind our listeners that everything we've discussed is AI-generated analysis for educational purposes. Past performance doesn't guarantee future results. Please do your own due diligence.
Thanks for listening to Beta Finch. We'll be back with more AI-powered earnings analysis. Until next time, keep those portfolios diversified and those research skills sharp!