Microsoft (NASDAQ:MSFT | MSFT Price Prediction) has spent the last year alongside NVIDIA (NASDAQ:NVDA) as the two poster children of the AI trade. But Microsoft has one thing Nvidia does not: a $678 billion contracted commercial backlog that turns AI demand into recurring, subscription-grade revenue.
Our 24/7 Wall St. price target for Microsoft is $590.43, and that backlog is a big reason the model sees room to run.
24/7 Wall St. Price Target Summary #
| Metric | Value |
|---|---|
| Current Price | $483.61 |
| 24/7 Wall St. Price Target | $590.43 |
| Upside | 22.14% |
| Recommendation | BUY |
| Confidence Level | 90% |
Our proprietary model rates confidence high on Microsoft, with implied upside north of 22% over the next twelve months. That is a base case built on the assumption that Azure, Copilot, and the commercial backlog continue converting into revenue at the current pace.
Azure Crosses $100 Billion, and the Backlog Explodes #
Microsoft closed fiscal 2026 with $331 billion in annual revenue, up 18%, and Azure crossed $100 billion in annual revenue for the first time, growing 41%. Q4 revenue of $90.01 billion beat consensus, and non-GAAP EPS of $4.74 beat by 11.81%, extending the beat streak to five quarters. Commercial RPO jumped 84% to $678 billion. Microsoft 365 Copilot reached over 30 million paid seats.
Shares are up 21.2% over the past month but down 2.98% in the past week, and roughly flat year to date at 0.12%. Recent headlines about Microsoft’s Maia 300 chip targeting Nvidia’s AI dominance have added a vertical-integration narrative to the software story.
Why Bulls See a Breakout Ahead #
Azure guidance implies approximately 45% constant-currency growth in Q1 FY27, RPO is still growing 18% excluding OpenAI, and Copilot net seat adds more than doubled quarter over quarter.
Nadella said “I’ve never been more confident in Microsoft’s opportunity to drive durable long-term growth.” Morningstar has publicly argued the stock is worth $600. Our bull-case scenario points to $614.60.
What Could Go Wrong #
Full-year capex hit $115.95 billion, up 79.62%, and full-year free cash flow fell to $66.99 billion, down 6.46%. Bears flag rising OpenAI investment losses ($3.1 billion in Q1 FY26), Xbox weakness, and the fact that AI capex hinges on demand holding up.
Bulls counter that Amy Hood explicitly said Microsoft can stagger data-center build-outs and delay GPU installations if demand shifts, and operating margins were guided to decline less than a point. Our bear case lands at $507.41, above today’s price.
How Microsoft Compares to Nvidia and Alphabet #
Nvidia is the obvious contrast. NVDA trades at a forward P/E of 25, with quarterly revenue growth of 85.2% and a 65.6% operating margin. Microsoft’s 45.1% operating margin is lower, but its revenue is $331.8 billion versus Nvidia’s $253.5 billion, and recurring. That subscription mix is what our model rewards.
Alphabet (NASDAQ:GOOGL) is the cheaper cloud comp at a forward P/E of 17 with a 54.8% profit margin. That makes Microsoft look expensive against GOOGL but reasonable against NVDA, and our $590.43 target sits between the two implied ranges.
| Company | Forward P/E | Operating Margin |
|---|---|---|
| Microsoft | 24 | 45.1% |
| Nvidia | 25 | 65.6% |
| Alphabet | 17 | 34% |
Microsoft Price Prediction 2026-2030 #
The 24/7 Wall St. price target is $590.43, the recommendation is buy, and confidence is 90%. The tipping factor is the backlog: $678 billion in contracted commercial revenue turns AI capex into a return-on-investment question with visibility.
The bull thesis rests on Azure’s 41% growth and Copilot’s 30 million paid seats sustaining runway for several more years. The risk case centers on enterprise AI budgets compressing in 2027 and free cash flow continuing to decline.
| Year | 24/7 Wall St. Price Target |
|---|---|
| 2026 | $517.60 |
| 2027 | $590.43 |
| 2028 | $674.26 |
| 2029 | $768.31 |
| 2030 | $824.43 |
These projections assume Microsoft continues executing on Azure, Copilot, and enterprise AI monetization. Significant upside or downside could come from AI demand normalization, regulatory action, or the pace of first-party silicon adoption.
The other side of that buildout is the power, cooling, and networking suppliers feeding the data centers, which we profiled in a free report here: 7 Stocks Powering the AI Boom (That Aren’t Chipmakers).
Contact [email protected] for any questions or corrections.