Loading...
Microsoft Corp (MSFT) is set to release its FY2026Q2 earnings performance on 01/28 05:00:00 in After Hours trading. Consensus forecasts predict a revenue of 80.00B and an earnings per share (EPS) of 3.88 for the FY2026Q2. With Intellectia's exclusive AI algorithms, users can predict whether the earnings will beat or miss expectations before the report drops. Leverage this powerful tool to strategize and position your trades ahead of the earnings release!
The earnings forecast anticipates a "Beat" scenario driven by Azure's growth, AI adoption, and robust commercial bookings.

Fact Data Analysis:
UBS highlighted the ramp of Microsoft’s Fairwater AI data centers (Atlanta/Wisconsin) as a near-term catalyst for Azure growth, with capacity coming online ahead of earnings.
Citi expects an Azure beat despite weaker non-cloud segments, supported by GPU/CPU demand stability (TD Cowen).
Morgan Stanley noted Microsoft’s expanded partnership with Anthropic, reinforcing Azure’s AI leadership.
Mizuho’s checks indicate “very strong” AI adoption, with Copilot and OpenAI integrations driving enterprise demand.
Jefferies emphasized GPT- 5.2’s enterprise potential, benefiting Microsoft as OpenAI’s cloud partner.
Mizuho flagged moderated budget flush activity, but Microsoft’s vertical integration (e.g., in-house MAIA chips via Marvell partnerships) could offset AI infrastructure costs.
Baird cited scalability in cloud/AI, supporting margin stability despite Rothschild’s capex concerns.
Key Risks:
PC segment weakness (Citi) and slower non-Azure growth.
Rothschild’s downgrade highlights hyperscaler economics risks, but consensus leans toward Azure execution.
Rationale: Azure’s AI-driven momentum and hyperscaler deals outweigh cyclical PC risks. Consensus estimates (0.015% revenue revision) are conservative given GPU capacity additions and OpenAI monetization.
The earnings report reveals strong financial performance with significant revenue and EPS growth, driven by demand across various segments. Despite a decline in free cash flow, commercial bookings surged, indicating robust future growth. The Q&A highlighted confidence in CapEx investments and AI-centric hardware, though some concerns about ROI and backlog durability were not fully addressed. Overall, the positive financial metrics and optimistic guidance, especially in AI and cloud services, suggest a likely stock price increase, despite some investor concerns.
The earnings call reveals strong financial performance with significant growth in free cash flow, commercial bookings, and cloud services revenue. Despite a decline in gaming revenue and cloud gross margin, the company maintains optimistic guidance for FY '26 with a focus on AI and cloud. The Q&A session addressed concerns about risks and investments, with management expressing confidence in their strategic positioning. The positive aspects, such as AI-driven growth and strategic partnerships, outweigh the negatives, suggesting a positive stock price movement.
Microsoft Corp (MSFT) is scheduled to release its FY2026Q2 earnings report onJan 28, 2026, After Hours(approximately 4:00 PM ET). This timing allows investors to react during after-hours trading, with a conference call typically following shortly after.
Analysts' consensus predicts 80.00B in revenue and an EPS of 4.00 for Microsoft Corp's FY2026Q2.
Intellectia's exclusive AI algorithms forecast a Beat forMicrosoft Corp's FY2026Q2 earnings, with a prediction date of Jan 28, 2026. Microsoft Corp The earnings forecast anticipates a "Beat" scenario driven by Azure's growth, AI adoption, and robust commercial bookings.
Leverage Intellectia's AI forecast to position trades ahead of theJan 28, 2026 release—consider calls for a beat scenario or protective puts for misses. Focus on pre-market volatility, and use the scenario probabilities to build strategies around revenue and guidance updates.
Intellectia's predictions are backed by rigorous backtesting, showing a high hit rate for Beat and Miss calls compared to traditional analysis. While no forecast is 100% certain, we provide probability-based scenarios (e.g., 50% chance of a *Beat*) and detailed rationales to help you make informed decisions. Combine our insights with your strategy for the best results—it's like having a co-pilot for earnings season! Empowering users to strategize trades before reports drop.
AI Earnings Prediction uses advanced Large Language Models (LLMs) to analyze a wealth of data, including past earnings transcripts, real-time market sentiment, analyst insights, and company news from the last three months. It focuses on key indicators like revenue, EPS, and margins to predict whether a company will *Beat*, *Miss*, or remain Neutral relative to market expectations. Think of it as a super-smart analyst crunching numbers and news 24/7 to give you a trading edge!
Predictions are generated two days before a company’s earnings release (e.g., 5:00 PM ET on Feb 13 for a Feb 15 report) to capture the latest market and company data. They’re updated in real-time if significant news breaks, ensuring you get fresh insights.
Currently, AI Earnings Prediction focuses on companies with market caps above $40 billion, covering major players like SPG, AAPL, MSFT, and NVDA for the 2025-2026 earnings seasons. We prioritize high-impact stocks with robust data to ensure reliable forecasts. Stay tuned as we expand coverage to more companies based on user demand!
Each prediction includes a detailed rationale, key indicator forecasts, and scenario probabilities to guide your trades. For a *Beat*, consider buying call options or shares; for a *Miss*, explore puts or hedging strategies. The prediction card provides actionable suggestions, like specific option strikes or hedging tips, tailored to your risk tolerance. Trade smart and turn insights into profits!