Broadcom(US:AVGO) 美股IPO·2025-12-16 23:06Core Viewpoint - The market reaction to Broadcom's (AVGO.US) and Oracle's (ORCL.US) earnings reports was considered an overreaction, with UBS raising its revenue expectations for Broadcom's AI semiconductor business, projecting revenues to exceed $60 billion in fiscal year 2026, nearly tripling year-over-year [1][4]. Group 1: Earnings and Market Reaction - Broadcom's stock experienced a significant decline, losing 17% over two days following the earnings report [1]. - UBS held an investor meeting with Broadcom's management, which led to an upward revision of performance expectations based on management's comments regarding AI semiconductor revenue [1][3]. Group 2: Order Backlog and Revenue Projections - The company reported an AI business order backlog of $73 billion, covering an 18-month period, but management indicated that actual delivery timelines would be closer to 12 months [4]. - In Q4, total order backlog increased by 50% quarter-over-quarter, with AI semiconductor orders doubling; excluding a new $11 billion order from Anthropic, the remaining backlog still increased by $20-25 billion, primarily from Google and Meta [4][9]. - Broadcom anticipates that the $21 billion rack order for Anthropic may be delayed until fiscal year 2027 due to preparation progress [4][7]. Group 3: Profit Margins and Business Segments - The company reaffirmed that the gross margin for its XPU business is approximately 55%, while the AI networking business has a gross margin of about 80% [5][8]. - The overall gross margin for the $21 billion revenue from racks is expected to fall within the 45%-50% range due to the inclusion of resale components [5]. - Broadcom's management expressed confidence that AI business revenue growth in fiscal year 2026 will exceed current market expectations, with revenue projections for fiscal year 2027 raised to $135 billion, surpassing market consensus by 2% [6][8]. Group 4: Market Dynamics and Strategic Outlook - Broadcom noted a trend where AI labs are capturing more market share that was originally expected to be enterprise-level AI markets, as companies increasingly opt for services from providers like OpenAI and Anthropic rather than fine-tuning large models themselves [10]. - The company is open to flexible monetization models for custom chips, including potential licensing agreements, which could enhance overall gross and operating profit margins [10].