Analog Devices Inc (ADI) FY2026Q1 Earning Prediction
Analog Devices Inc (ADI) is set to release its FY2026Q1 earnings performance on 02/18 05:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 3.00B and an earnings per share (EPS) of 2.33 for the FY2026Q1. 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
ADI Transcript
The earnings call summary and Q&A indicate strong financial performance with a 35% YoY EPS increase, margin expansion, and double-digit growth in key segments like communications and consumer. Despite some uncertainties in the macro environment and limited visibility, the overall guidance remains optimistic with expectations of broad-based growth in fiscal '26. Positive factors like strong content gains and design wins in auto, alongside promising AI and defense sectors, contribute to a positive outlook. The lack of specific guidance for Q2 is a minor concern but doesn't overshadow the overall positive sentiment.
ADI Report
Frequently Asked Questions
What is the Analog Devices Inc FY2026Q1 Earnings Release Date and Time?
Analog Devices Inc (ADI) is scheduled to release its FY2026Q1 earnings report onFeb 18, 2026, Pre-Market(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 Analog Devices Inc FY2026Q1 Revenue and EPS?
Analysts' consensus predicts 3.00B in revenue and an EPS of 2.00 for Analog Devices Inc's FY2026Q1.
What Does Intellectia's AI Predict for Analog Devices Inc FY2026Q1 Earnings?
Intellectia's exclusive AI algorithms forecast a forAnalog Devices Inc's FY2026Q1 earnings, with a prediction date of Feb 18, 2026. Analog Devices Inc
How Can I Use This Earnings Prediction to Trade ADI Stock?
Leverage Intellectia's AI forecast to position trades ahead of theFeb 18, 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 Analog Devices Inc FY2026Q1?
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!
