Super Micro Computer Inc (SMCI) FY2026Q2 Earning Prediction
Super Micro Computer Inc (SMCI) is set to release its earnings performance on 02/03 05:00:00 in After Hours trading. Consensus forecasts predict a revenue of 10.00B and an earnings per share (EPS) of 0.41 for the . 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!
Earnings Surprise Analysis
SMCI Transcript
The earnings call reveals strong revenue growth driven by new product launches and a robust order pipeline, including high-profile customers. While there are concerns about negative free cash flow and a net debt position, the company is addressing these with strategic initiatives like DCBBS, which is expected to improve margins. The Q&A section provides confidence in revenue guidance and market leadership, further supported by positive analyst sentiment. Despite some uncertainties, the overall outlook is optimistic, suggesting a positive stock price movement over the next two weeks.
SMCI Slides
SMCI Report
Frequently Asked Questions
What is the Super Micro Computer Inc FY2026Q2 Earnings Release Date and Time?
Super Micro Computer Inc (SMCI) is scheduled to release its FY2026Q2 earnings report onFeb 3, 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.
What Are the Consensus Forecasts for Super Micro Computer Inc FY2026Q2 Revenue and EPS?
Analysts' consensus predicts 10.00B in revenue and an EPS of 0.00 for Super Micro Computer Inc's FY2026Q2.
What Does Intellectia's AI Predict for Super Micro Computer Inc FY2026Q2 Earnings?
Intellectia's exclusive AI algorithms forecast a forSuper Micro Computer Inc's FY2026Q2 earnings, with a prediction date of Feb 3, 2026. Super Micro Computer Inc
How Can I Use This Earnings Prediction to Trade SMCI Stock?
Leverage Intellectia's AI forecast to position trades ahead of theFeb 3, 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.
How Accurate Is Intellectia's AI for Earnings Predictions Like Super Micro Computer Inc FY2026Q2?
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.
How does AI Earnings Prediction generate its forecasts?
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!
When are the predictions available, and how often are they updated?
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.
Can I use AI Earnings Prediction for all types of stocks?
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!
