Citi has placed Microsoft on a 90-day "positive catalyst watch," citing expectations that FY26 Azure growth is underestimated by the Street; the firm forecasts 36.1% Azure growth, exceeding the 32.1% consensus. The upcoming Q4 2025 earnings report is seen as a key catalyst, with Citi anticipating strong guidance reflecting AI revenue ramp-up and maintaining a Buy rating with a $605 price target. Microsoft's stock recently hit an all-time high, driven by robust cloud and AI performance, and Citi reiterates the company as its top software pick.
Citi's initiation of a 90-day "positive catalyst watch" on Microsoft (MSFT) underscores a strong conviction in the company's near-term appreciation, primarily fueled by the assessment that current Street estimates for Azure's fiscal year 2026 (FY26) growth are overly conservative. Citi projects Azure's FY26 growth at 36.1% year-over-year in constant currency, substantially exceeding the consensus of 32.1%. This optimistic forecast is substantiated by Azure's recent performance metrics, including a 35% year-over-year constant currency revenue growth in fiscal third quarter 2025 and an impressive 39% year-over-year exit growth rate in March, which surpassed both company guidance and market expectations. Further bolstering this view, Citi's capital expenditure return on investment analysis indicates potential for 37% year-over-year Azure growth, implying a cumulative $299 billion in revenue over six years from emerging AI-driven streams. Microsoft's stock recently attained an all-time high of $475.45, marking a 13% year-to-date increase, with Citi maintaining a Buy rating and a $605 price target, suggesting a 28% potential upside. The forthcoming fiscal fourth quarter 2025 earnings release, anticipated around late July 2025, and the accompanying FY26 guidance are pinpointed as pivotal catalysts, expected to reflect the accelerating ramp-up of AI-related revenue, highlighted by the tripling of Microsoft 365 Copilot usage year-over-year. Microsoft is positioned as Citi's "top pick in software," attributed to its perceived defensiveness, robust AI product cycle, and the market's underestimation of Azure's expansive potential.
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