Alcoa Corp (AA) Earning Prediction
Alcoa Corp (AA) is set to release its earnings performance on 01/22 05:00:00 in After Hours trading. Consensus forecasts predict a revenue of 3.00B and an earnings per share (EPS) of 0.84 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
AA Transcript
The earnings call summary shows mixed results: strong free cash flow, cash balance, and return on equity, but concerns over alumina price pressures and tariff costs. The Q&A section provides some reassurance on future production and profitability, but uncertainties remain, particularly regarding tariffs and site negotiations. The market may react cautiously, leading to a neutral stock price movement.
The earnings call summary presents a mixed outlook: reduced aluminum shipments and increased interest expenses are negatives, while cost reductions and improved alumina segment performance are positives. The Q&A reveals optimism about aluminum demand and strategic projects but highlights uncertainties in tariffs and energy costs. The strategic plan adjustments and management's cautious communication suggest a balanced view, leading to a neutral stock price prediction.
AA Slides
AA Report
Frequently Asked Questions
What is the Alcoa Corp Earnings Release Date and Time?
Alcoa Corp (AA) is scheduled to release its earnings report onJan 22, 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 Alcoa Corp Revenue and EPS?
Analysts' consensus predicts 3.00B in revenue and an EPS of 1.00 for Alcoa Corp's .
What Does Intellectia's AI Predict for Alcoa Corp Earnings?
Intellectia's exclusive AI algorithms forecast a forAlcoa Corp's earnings, with a prediction date of Jan 22, 2026. Alcoa Corp
How Can I Use This Earnings Prediction to Trade AA Stock?
Leverage Intellectia's AI forecast to position trades ahead of theJan 22, 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 Alcoa Corp ?
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!
