General Motors Co (GM) FY2025Q4 Earning Prediction
General Motors Co (GM) is set to release its FY2025Q4 earnings performance on 01/27 05:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 45.00B and an earnings per share (EPS) of 2.20 for the FY2025Q4. 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!
AI Earnings Prediction
General Motors is predicted to Beat earnings expectations due to cost savings and strong ICE/hybrid performance, despite challenges in EV growth.
Scenario Analysis
Key Indicators Forecast
No data
Prediction Logic & Rational
Logic & Justification
Fact Data Analysis:
Margin Improvement: Trump’s relaxed CAFE standards reduce regulatory costs, while AI-driven warranty expense reductions ($ 1.6B+ savings) and ICE/hybrid focus boost North America EBIT margins.
EV Challenges Offset by ICE Strength: EV sales growth is slowing (strategic $6B charge), but GM’s ICE/hybrid dominance (6% U.S. sales growth in 2025, strong fleet demand) compensates.
Cost Discipline: Lower dealer inventories signal efficient supply chains, and restructuring cuts future EV-related expenses.
Analyst Confidence: Upgrades (Morgan Stanley, Citi) cite margin recovery, cash generation, and buybacks as EPS drivers.
Tactical Strategy Recommendations
Trading Strategy
Options Play:
- Bull Call Spread: Buy $85 calls / Sell $95 calls (Jan 2026 expiry) to capitalize on upside while limiting premium costs.
- Hedge: Protective puts at $75 if holding shares.
Equity: Overweight GM ahead of earnings, leveraging bullish analyst sentiment and ICE/hybrid tailwinds.
Rationale: High expectations (19% stock rally) demand a Beat for further upside. EPS likely exceeds on cost discipline, but revenue risks keep Strong Beat probability low.
Earnings Surprise Analysis
GM Transcript
The earnings call summary suggests a positive outlook with raised guidance, improved tariff exposure, and strategies for EV profitability. Despite some uncertainties in hybrid strategy and Super Cruise expansion, the overall sentiment is bolstered by strong financial metrics, optimistic guidance, and strategic plans for software and autonomous vehicle growth. The Q&A session highlights management's confidence in addressing potential risks, further supporting a positive sentiment. However, the lack of specific details on certain topics slightly tempers the overall positivity.
The earnings call summary shows a balanced outlook: strong financial metrics with stable revenue expectations, yet cautious guidance. Positive elements include investments in EV profitability and tariff mitigation strategies. However, uncertainties in demand and competitive dynamics for 2026, along with unclear management responses, create a neutral sentiment. No record high revenue or strong guidance adjustments were announced, and the lack of specific guidance for 2026 further tempers optimism. The absence of market cap data limits the ability to predict a stronger reaction.
GM Report
Frequently Asked Questions
What is the General Motors Co FY2025Q4 Earnings Release Date and Time?
General Motors Co (GM) is scheduled to release its FY2025Q4 earnings report onJan 27, 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 General Motors Co FY2025Q4 Revenue and EPS?
Analysts' consensus predicts 45.00B in revenue and an EPS of 2.00 for General Motors Co's FY2025Q4.
What Does Intellectia's AI Predict for General Motors Co FY2025Q4 Earnings?
Intellectia's exclusive AI algorithms forecast a Beat forGeneral Motors Co's FY2025Q4 earnings, with a prediction date of Jan 27, 2026. General Motors Co General Motors is predicted to Beat earnings expectations due to cost savings and strong ICE/hybrid performance, despite challenges in EV growth.
How Can I Use This Earnings Prediction to Trade GM Stock?
Leverage Intellectia's AI forecast to position trades ahead of theJan 27, 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 General Motors Co FY2025Q4?
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!
