Shares of Amazon and Intel experienced significant declines in premarket trading on Friday, October 30, following the release of their September quarter financial results. The disappointing performance from both technology giants placed immediate pressure on broader market sentiment, causing Nasdaq futures to drop by 2 percent. This development marked the conclusion of a turbulent week for technology earnings, with investors reacting negatively to the latest data.
In the early trading hours, Amazon stock was down 7 percent, while Intel shares suffered a much steeper loss of 25 percent. The drop in Intel was particularly acute, reflecting a strong negative reaction from the market to the company's recent disclosures. These moves highlighted the continued volatility in the tech sector as companies grapple with high expectations and shifting market dynamics.
Amazon's third-quarter report revealed a miss in both revenue and net income. Despite these shortfalls, the company maintained its forecast for capital expenditure in 2026 at $220 billion. A notable concern for investors was the reporting of negative free cash flow for the second consecutive quarter. This negative figure was significantly larger than the amount reported in the previous period, raising questions about the company's cash management.
Intel provided guidance that was weaker than what analysts had anticipated. The company attributed this cautious outlook to ongoing softness in the personal computer market. This explanation aligned with broader trends in the semiconductor industry, where demand fluctuations have become a key factor in corporate performance and stock valuations.
The weakness was not limited to these two companies. Other major chip stocks, including Micron, Nvidia, and Arm, were also lower in premarket trading in the United States. The downturn extended to Europe, where major semiconductor names such as ASML saw sharp declines. This widespread sell-off indicated a sector-wide reassessment of value and growth potential.
A primary driver of investor anxiety is the massive amount of spending on artificial intelligence by large technology firms. Market participants are increasingly focused on whether these substantial investments will ultimately generate sufficient returns. This uncertainty has contributed to a cautious atmosphere, with traders monitoring cash flow metrics closely as a gauge of financial health.
The recent trend mirrors events from the previous day. On Thursday, Alphabet shares closed 13 percent lower, marking the worst single-day drop in the company's history. This decline was triggered by the reporting of ballooning negative free cash flow. In contrast, Microsoft shares rose after the company confirmed it remained cash flow positive during the September quarter, offering a point of stability in an otherwise volatile environment.
As of early Friday trading, Nasdaq-100 futures were down 2 percent. The continued pressure on tech stocks could push the tech-heavy index into negative territory for the week. However, the broader Nasdaq Composite index remained up more than 12 percent year-to-date as of the close on Thursday, suggesting that the long-term trend has not yet reversed despite the recent setbacks.
Matt Orton, chief market strategist at Raymond James, offered perspective on the situation during an appearance on CNBC's Squawk Box Europe. He stated that while the current moment may be painful, it is not necessarily a moment of reckoning. Orton suggested that investors should take time to consider how positioning across the sector remains crowded, even though underlying fundamentals remain strong.
Orton added that the fundamentals, particularly in the part of the market benefiting from AI capital expenditure, largely remain in place. He expressed a general level of acceptance regarding companies turning free cash flow negative, describing it as a temporary period rather than a structural issue. This view highlights the ongoing debate within the market about the sustainability of current spending levels versus long-term growth potential.
