Microsoft Down 5.6% in Four Weeks as Analysts Raise 2026 Earnings
Microsoft shares have fallen 5.6% over the last four weeks and now register an RSI below 30, indicating technical oversold conditions that could presage a rebound. Meanwhile, a majority of Wall Street analysts have raised 2026 earnings estimates for the company, underlining growing profit expectations.
1. Strong Buy Rating Reflects Accelerating AI and Cloud Adoption
Microsoft’s consensus rating was upgraded to a strong buy for 2026 after management highlighted surging demand for Azure cloud services, AI solutions and enterprise software. Investors were particularly encouraged by a double-digit growth trajectory across all major commercial segments. Analyst surveys indicate more than 70% of large enterprises plan to increase their Azure spend by at least 20% this year, underscoring Microsoft’s leadership in enabling generative AI workloads and hybrid cloud deployments.
2. Double-Digit Revenue Growth Bolstered by Record Backlog
For the full fiscal year, Microsoft reported revenue growth of 15% year-over-year, with Q4 growth accelerating to 18%. The company’s commercial remaining performance obligations (RPO) rose 51% to $392 billion, setting a new record high and providing strong visibility into future revenue streams. This backlog, which covers committed software and cloud subscriptions, represents a multi-year contract base that should continue to drive recurring cash flow and margin expansion.
3. Capacity, Not Demand, Drives Infrastructure Investment
Management emphasized that capacity constraints—rather than subdued customer demand—are the primary bottleneck to further growth. To address this, Microsoft is deploying an unprecedented level of capital expenditures across data centers worldwide. The company has earmarked more than $40 billion in CapEx this fiscal year to expand GPU-powered clusters, build new hyperscale regions and upgrade fiber networks. These investments are designed to both alleviate current capacity shortfalls and support the next wave of AI model training and inference workloads over the coming years.