Microsoft stock plummets despite strong earnings

Microsoft’s stock price dropped almost 10% in one day following its fiscal Q2 2026 earnings report, the steepest decline since 2020. The retreat occurred even though the company exceeded revenue forecasts, as investors grew concerned about its heavy spending on AI infrastructure and potential capacity limits in cloud operations.

The quarter generated $81.3 billion in revenue, a 17% increase from the same period last year and above the $80.27 billion estimate. Non-GAAP earnings per share reached $4.14, surpassing the $3.97 projection. Still, the stock’s sharp decline revealed underlying worries: capital expenditures jumped 66% to $37.5 billion, primarily for custom AI chips like the Maia and Cobalt lines and the physical infrastructure needed to handle generative AI demand.

The Intelligent Cloud segment, Microsoft’s main growth driver, expanded 29% to $32.9 billion, with Azure and cloud services revenue up 39%. Though growth remained strong, it slowed slightly from the previous quarter’s 40% rate. The Productivity and Business Processes segment grew 16% to $34.1 billion, driven by a 17% increase in Microsoft 365 Commercial cloud revenue and a 29% surge in Consumer cloud revenue. Trends 365 grew 19%, as AI-powered tools like Agent 365 became more embedded in workflows.

However, the More Personal Computing segment contracted 3% to $14.3 billion, largely due to a 32% drop in Xbox hardware sales. Windows OEM revenue held steady with 5% growth, partly from the end of Windows 10 support, but the trend signaled weakness in consumer hardware.

AI’s transformative potential and cloud revenue milestone

Microsoft’s cloud revenue surpassed $50 billion for the first time in Q2. CEO Satya Nadella described the milestone as proof of AI’s transformative potential, saying, “We are in the beginning phases of AI diffusion and its broad GDP impact. Our TAM will grow substantially across every layer of the tech stack as this diffusion accelerates and spreads. In fact, even in this early innings, we have built an AI business that is larger than some of our biggest franchises that took decades to build.”

For Q3, Microsoft projected revenue between $80.65 billion and $81.75 billion, a 15–17% increase. Azure growth was expected to remain robust at 37–38% in constant currency terms. Yet analysts highlighted a key tension: while demand for AI-driven cloud services is rising, Microsoft’s ability to meet it depends on scaling hardware production quickly. CFO Amy Hood acknowledged margin pressure, noting cloud gross margins would stabilize near 65% as custom silicon and energy optimizations offset GPU costs. Still, the $37.5 billion in capital expenditures reflected a long-term bet on AI dominance, even if it strained short-term profitability.

Most analysts retained a positive outlook, though many adjusted price targets downward. Morgan Stanley’s Keith Weiss dismissed the slowdown as a capacity issue rather than a demand problem. Wedbush’s Dan Ives lowered his target from $625 to $575 but emphasized that the stock dip represented an opportunity for long-term investors. He noted, “The company is capitalizing on the heightened momentum seen in the AI Revolution… weakness in the share price represents strong buying opportunities for long-term investors. We have said this is a multi-year journey.” Even as Goldman Sachs and KeyBanc reduced targets, they emphasized that near-term challenges could yield long-term AI-driven growth.

OpenAI’s massive backlog raises payment risks

A significant concern emerged in Microsoft’s backlog: OpenAI accounts for 45% of its commercial remaining performance obligation, totaling $625 billion. The disclosure raised questions about whether OpenAI could meet its financial commitments to Microsoft and other partners like Oracle. Jefferies analyst Brent Thill questioned whether OpenAI could fulfill its obligations, saying, “The backlog is really good, but the disclosure that OpenAI is 45% of their backlog, it goes back to the situation where, Can OpenAI achieve these financial goals to pay Oracle, Microsoft and many of the providers?”

The slight slowdown in Azure growth—from 40% to 39%—stemmed from internal resource allocation. During the earnings call, Hood explained that internal AI projects, including Copilot, consumed a significant portion of Microsoft’s GPU and CPU capacity. Without reallocating those resources to external Azure customers, the growth rate would have exceeded 40%, she noted. Analysts viewed this as evidence of a broader industry challenge: the demand for AI infrastructure is growing faster than the ability to scale it for enterprise clients.

Capacity crunch slows Azure growth despite strong demand

JPMorgan analyst Mark Murphy described Microsoft’s demand picture as solid, but noted that capacity constraints in Azure were a factor. He said, “Microsoft showed a ‘solid demand picture’ in its quarterly results… The underlying drivers include softness in less-critical Gaming and Search segments and CPU/GPU capacity constraints in Azure.” Evercore’s Kirk Materne framed the issue as a timing problem, stating that the focus had shifted from demand to the ability to meet capacity needs.