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Market map S&P 500, sized by market cap, shaded by year-to-date change

SanDisk reported fiscal Q1 2027 revenue of $11 billion, up 23% sequentially and 378% year over year, with non-GAAP gross margin at 85.1% and adjusted free cash flow of $5.7 billion. The results were driven by data-center demand, up 61% sequentially to $4.8 billion as AI workloads increased NAND usage. The company announced long-term customer agreements covering roughly half of fiscal 2027 bits and projected Q2 revenue of $12.2–$12.6 billion with similar margins. An eight-for-one stock split was approved, and management highlighted ongoing tech roadmap initiatives (BiCS8/9/10, HBF) and expanding NAND configurations (SLC, TLC/QLC mix). Sandisk reaffirmed a strategy of returning excess cash to shareholders while remaining debt-free and investing in its technology roadmap, with data-center demand expected to remain the primary growth engine in 2027.

Amazon posted accelerating AWS cloud growth but fell short on third-quarter profit and total revenue, prompting a more-than-seven-percent after-hours drop as investors weigh AI spending. Revenue from advertising also missed estimates, while the company reiterated plans to spend about $220 billion on capital expenditures this year, largely on AI, data centers, and related tech. The report follows Alphabet and Nvidia among peers reporting mixed results amid a broader AI-investment wave and slowing ad revenues. Amazon emphasized its longer-term AI and cloud ambitions, including Trainium chips and broader availability, while the market also tracked job cuts and cost-cutting by tech peers and the sector-wide debt buildup tied to AI investment. AWS remains the standout, but profitability remains under scrutiny.

Amazon spent more than $77 billion on property and equipment in Q3 to expand data centers, pushing capital expenditures higher and producing a free cash outflow of $42.4 billion. Revenue rose 12% to $201.9 billion, driven by AWS growth for the sixth straight quarter amid partnerships with AI developers, while core online retail grew only 2% to $68.5 billion. For Q4, Amazon guided revenue of $240–$247 billion, edging below the average analyst forecast. The stock fell about 7% after hours as investors weighed the heavy AI buildout against uncertain returns and debt concerns, despite CEO Andy Jassy’s forecast of potential trillion-dollar revenue drivers in the next 5–10 years.

Amazon (AMZN) reported third-quarter results that missed Wall Street expectations as the company continues to heavily invest in artificial intelligence, cloud infrastructure, and related technologies, leading to negative cash flow despite solid revenue growth. The quarter reflected elevated operating expenses and ongoing capital expenditures tied to AI initiatives, predictive services, and AWS expansion, pressuring margins and profitability. Management signaled continued heavy investment into AI-driven programs and infrastructure, suggesting a multi-quarter path to profitability. Investors focused on the pace of cash burn, the trajectory of AWS growth, and competitive positioning in AI services, with concerns around sustainability of current spending versus near-term financial returns. The results highlight the broader market debate over AI-driven capex, the timing of earnings normalization, and how this strategy could affect Amazon’s stock performance and broader tech sector sentiment.

ServiceNow (NOW) slid about 26% after forecasting that fourth-quarter current remaining performance obligations (cRPO) growth would slow to 18.5%, fueling worries about AI-driven disintermediation. In Q3, revenue rose 20.5% to $4.11 billion and adjusted EPS met consensus, but non-GAAP operating income beat expectations. Subscription revenue was just shy of estimates, with some revenue shifted to services, dampening reported growth by 25 basis points. Q3 cRPO reached $13.65 billion and total RPO $29.7 billion, both ahead of forecasts. However, the outlook for next quarter’s cRPO was modest due to revenue mix shifts and termination-for-convenience clauses, amplifying market skepticism about AI’s impact on ServiceNow’s business model and margins.

Also on 29 October