博通因人工智能芯片营收预测不及预期股价大跌
Broadcom Crashes After AI Chip Revenue Forecast Misses

原始链接: https://www.zerohedge.com/markets/broadcom-crashes-after-ai-chip-revenue-forecast-misses

博通(Broadcom)股价在盘后交易中大跌超过12%,此前发布的第二季度财报未能满足投资者的高期望。尽管该公司第二季度的营收和利润达到预期,但其前瞻性指引引发了市场担忧。具体而言,博通对第三季度人工智能半导体营收的预测为160亿美元,低于分析师预期的172亿美元。 此外,该公司维持了现有的全年人工智能销售目标,而未进行上调,这释放出人工智能热潮可能降温的信号。投资者还对利润率受压,以及该公司在为Anthropic等主要客户的芯片采购提供融资担保中所扮演的复杂角色感到担忧。这种涉及循环信贷安排的策略,引发了市场对人工智能行业快速扩张的可持续性及投资回报率的广泛担忧。 此次抛售抹去了近期“伽马挤压”(gamma squeeze)带来的显著涨幅,导致过去五个交易日累计的约2700亿美元市值化为乌有。随着投资者评估博通增长不及预期到底是暂时的阻碍,还是人工智能泡沫破裂的迹象,该公司目前正面临更严格的审视。

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原文

Broadcaom stock is plunging in after-hours trading, after the company reported Q2 results which delivered a disappointing forecast for AI chip revenue, signaling that the company is either progressing more slowly than anticipated in the burgeoning industry, or that unlike its peers, is actually truthful in predicting the potential of the AI bubble.

The historicals were ok: in the fiscal second quarter, which ended May 3, sales rose 48% to $22.2 billion, just barely beating the $22.1 estimate. AI semiconductor revenue was $10.8 billion, also just barely above estimates of $10.7 billion. That category includes custom-built accelerators - the chips used to develop and run AI models - as well as networking semiconductors. Adjusted EPS climbed to $2.44 a share, also modestly beat the median estimate of $2.39.

But the forecast was a problem: AI semiconductor revenue will be $16 billion in the fiscal third quarter, missing analyst estimates of $17.2 billion. Total revenue will be about $29.4 billion, which while higher than the $28.6 billion median estimate was below some buyside bogeys which ranged billions of dollars higher. EBITDA guidance of 68.0%, also missed the street at 69.1%.

The forecast miss is concerning: Broadcom has signed and expanded long-term deals with companies like Google, Anthropic and Meta but questions remain as to how much revenue will be recognized in each quarter, as opposed to being accounted for in a multiyear backlog. 

Investors were also disappointed after the company kept its full year AI target at 10GW in 2027 and $100BN in chip sales for the full year, instead of boosting guidance as it had in prior quarters. The pressure was also margin related as GOOGL TPU growth generating lower margins than networking and software. 

CEO Hock Tan has tied the company’s fortunes to AI gear, betting on a rapid expansion of data centers and other infrastructure. While Nvidia remains the dominant maker of AI accelerators, Broadcom has positioned itself as a key alternative. 

In hopes of boosting its operational leverage, Broadcom has been taking a bigger role helping finance the purchase of chips. As Bloomberg reported over the weekend, Apollo and Blackstone are working on a roughly $36 billion debt financing deal to help Anthropic pay for its Google chips that Broadcom helped develop. Broadcom is backstopping payments on the largest portions of the transaction, Bloomberg reported. So we have yet another circular deal: Broadcom is funding the SPV that will allow Anthropic to pay Google for Broadcom chips. You can see why the entire AI industry is now so careful about even the smallest drawdown: if even the smallest cracks appear, questions will once again start swirling about risk and ROI, and now that there are over $600BN in private credit SPV backstopping future growth, the entire house of cards could come crashing down.

Against that backdrop, the latest report failed to satisfy investors, with the stock crashing over 12% in late trading, erasing all the recent "gamma squeeze" gains orchestrated by market makers to set the stage for the coming mega IPOs. It was up 38% this year through the close; those gains have been cut in half after the results. 

 

While Broadcom has made progress in pivoting to artificial intelligence customers, it finds itself against increasingly cutthroat competition and higher expectations. Broadcom added roughly $270 billion in market value over the last five trading sessions before the earnings report, fueled by AI optimism. All of that has been wiped out. 

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