Broadcom’s Custom Silicon Empire: How a 60% Market Share and Two Hyperscaler Deals Built a $2 Trillion Valuation

Broadcom hits $2 trillion market cap fueled by Meta's 2nm AI accelerator deal and Google TPU collaboration, with record revenue and a $73B backlog.

Only a handful of companies on the planet have ever touched a $2 trillion market capitalization. Broadcom briefly joined that exclusive club this week, propelled by a deepening alliance with Meta Platforms and a custom-chip business that is effectively printing money. The stock now trades at €343.30, just shy of its 52-week high of €360.45, having more than doubled over the past twelve months.

The engine of this valuation is a multi-year agreement with Meta to co-develop the industry’s first 2-nanometer AI accelerator. The chip is designed to power Meta’s push toward “personal superintelligence” across WhatsApp, Instagram, and Threads. Meta has already secured an initial capacity of one gigawatt, with plans to scale that infrastructure to multiple gigawatts using Broadcom’s XPU platform and Ethernet networking technology. The contract runs through 2029.

But Meta is only half the story. Google, Broadcom’s other hyperscaler partner, recently unveiled its eighth-generation Tensor Processing Units, co-developed with Broadcom. Those TPUs have now been split into two specialized chips—one for training, one for inference—and a long-term supply agreement locks in Broadcom’s role in Google’s AI data centers through 2031.

This dominance in application-specific integrated circuits is near-monopolistic. Broadcom commands an estimated 60% share of the AI ASIC market, leaving rival Marvell trailing at just 15%. Analysts at Counterpoint expect that lead to hold despite growing competition, thanks to the structural stickiness of custom silicon: once a hyperscaler builds its AI infrastructure around Broadcom’s chips, switching vendors becomes prohibitively expensive.

The financial results bear this out. In the first quarter of fiscal 2026, Broadcom posted record revenue of $19.31 billion, up 29% year over year. The AI semiconductor business alone surged 106% to $8.4 billion. For the second quarter, management is guiding for $22 billion in revenue—growth of roughly 47%. CEO Hock Tan has set a target of over $100 billion in cumulative AI chip revenue by the end of fiscal 2027, and he says the supply chain is secured through 2028.

That confidence is backed by a $73 billion order backlog, providing visibility into factory utilization for years to come. The company’s adjusted EBITDA margin sits at a robust 68%. Shareholders are also being rewarded: a new $10 billion share buyback program has been authorized through the end of 2026, and the quarterly dividend of $0.65 per share was recently confirmed—the fifteenth consecutive increase.

On the software front, Broadcom is quietly building a second pillar. On April 22, 2026, it announced a partnership with Google Cloud to launch “Cloud Network Insights,” a service based on Broadcom’s AppNeta technology. The tool monitors networks in real time, helping IT teams identify bottlenecks in multi-cloud environments—a capability that is becoming essential as hyperscalers deploy increasingly distributed AI workloads.

At first glance, the stock’s forward price-to-earnings ratio of over 30 looks stretched. But the PEG ratio of 0.26 tells a different story, suggesting the price is actually cheap relative to expected growth when compared to rivals like Nvidia or AMD. The stock has risen roughly 104% over the past year, and while it has pulled back about 5% from its all-time high in recent days, analysts attribute that to routine profit-taking after a blistering rally.

Broadcom’s structural advantage lies in the depth of these partnerships. Companies that build their AI infrastructure on custom Broadcom chips do not lightly switch suppliers. That dependency creates predictability—and it explains why the market is willing to pay a $2 trillion price tag.