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Broadcom Reports $64B Revenue for FY 2025, AI Growth Hits $20B with 65% Surge

Broadcom surges to $64B in FY 2025 revenue, driven by a 65% spike in AI semiconductor sales, reaching $20B amid strong market demand.

Broadcom Inc (NASDAQ:AVGO) reported a record consolidated revenue of $64 billion for fiscal year 2025, reflecting a 24% increase year-over-year. The significant growth was buoyed by a remarkable 65% surge in AI semiconductor revenue, which reached $20 billion, underscoring the increasing demand for advanced AI technologies.

The company’s infrastructure software segment also demonstrated robust performance, achieving a revenue increase of 26% year-on-year, driven by strong adoption of VMware Cloud Foundation. Broadcom’s Q4 total revenue hit $18 billion, representing a 28% rise compared to the same period last year. In the same quarter, adjusted EBITDA reached $12.2 billion, up 34% year-on-year, while operating income stood at $11.9 billion, also reflecting a 35% increase.

Broadcom’s strong financial performance has been further bolstered by its impressive cash flow generation. The company reported free cash flow of $7.5 billion for Q4, comprising 41% of revenue. Cash and cash equivalents totaled $16.2 billion at the end of the quarter. Additionally, the company announced a 10% increase in its quarterly common stock cash dividend for fiscal 2026, raising it to $2.60 per share.

Looking ahead, Broadcom anticipates Q1 fiscal 2026 revenue to reach $19.1 billion, marking a 28% increase year-over-year. In a notable development, the company projects AI semiconductor revenue for the same quarter to be $8.2 billion, nearly doubling year-over-year. This is indicative of the company’s strategic positioning in the rapidly evolving AI landscape.

Despite the overall growth, Broadcom faced challenges in its non-AI semiconductor revenue, which grew only 2% year-on-year in Q4. This limited growth reflects market pressures in non-AI segments, compounded by anticipated seasonal declines in non-semiconductor revenue. Gross margins may also be affected, with a higher mix of AI revenue contributing lower margins due to component pass-through costs.

The company is navigating potential supply chain challenges, particularly in advanced packaging and silicon sourcing, as demand for AI components continues to escalate. Broadcom CEO Hock Tan noted that the company has a substantial $73 billion backlog in AI-related orders, expected to be fulfilled over the next 18 months. This backlog is anticipated to grow as new orders are placed, indicating strong market confidence.

In response to inquiries about the AI backlog, Tan confirmed the $73 billion figure, which is primarily composed of orders for AI components such as XPUs, switches, and DSPs. He added that the company is actively addressing supply chain constraints by building a facility in Singapore and collaborating with TSMC to secure silicon supply, asserting that there are currently no significant supply issues.

During the earnings call, the topic of customer transitions to alternative processing units was discussed. Tan clarified that the shift to tensor processing units (TPUs) is more a substitution for GPUs than a transition away from custom ASICs. He emphasized that the strategic investment in custom accelerators will persist, despite TPUs taking some demand from GPUs.

As for gross margins, Tan acknowledged that AI-related revenue generally carries lower gross margins due to associated costs. However, he maintained a positive outlook on operating leverage, suggesting that while gross margin percentages may decrease, operating margin dollars are expected to rise with the scale of AI revenue growth.

Broadcom’s continued innovation and strong financial performance underscore its pivotal role in the semiconductor and AI markets. As the company strives to meet the escalating demand for AI applications and advanced computing solutions, its strategic initiatives and proactive supply chain management will be critical to sustaining its growth trajectory in the coming fiscal year.

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Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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