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General Motors Co (GM) is set to release its FY2025Q2 earnings performance on 07/22 04:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 46.00B and an earnings per share (EPS) of 2.38 for the FY2025Q2. 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 balanced outcomes with strong ICE sales offset by margin pressures and EV market challenges.

The Fact Data presents a mixed outlook for GM’s Q2 earnings, with offsetting tailwinds and headwinds:
Beat Drivers:
Strong U.S. Sales: Q2 U.S. sales increased ** 7.3% YoY** (vs. industry’s 4%), driven by ICE crossovers, SUVs, and pickups.
Production Expansion: $4B U.S. manufacturing investment to boost annual production by 300k units, supporting revenue growth.
Headwinds:
EV Sales Decline: U.S. EV sales fell 5% in April (third monthly decline), raising concerns about demand for GM’s EVs despite its 12% market share.
Tariff Uncertainty: Tariffs impact $4B–$5B of EBIT, though GM’s proactive supply chain initiatives may partially offset this.
Miss Risks:
Recall Costs: $62M+ recall for brake assembly defects (62k vehicles) adds unplanned expenses.
Fixed Costs: Rising labor costs (Mexico unionization) and $888M investment in V-8 engines increase depreciation and warranty expenses.
EV Subsidy Cuts: Reduced federal EV subsidies could pressure profitability in GM’s EV segment.
Neutral Catalysts:
Battery Innovation: Partnership with LG Energy on LMR prismatic cells could boost long-term competitiveness, but near-term EV demand remains weak.
Policy Risks: California’s blocked EV mandate and House Speaker’s threat to kill EV tax credits create regulatory uncertainty.
Beat Signal:
ICE inventory turnover remains strong ("turning quickly"), supported by Oshawa plant’s shift expansion for gas-powered trucks.
Short-Term Options Play:
Long-Term Positioning:
Rationale: High expectations (13% stock outperformance vs. S&P 500) leave little room for error, but GM’s robust ICE business provides a floor. Focus on volatility around margins and policy shifts.
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.
General Motors Co (GM) is scheduled to release its FY2025Q2 earnings report onJul 22, 2025, 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.
Analysts' consensus predicts 46.00B in revenue and an EPS of 2.38 for General Motors Co's FY2025Q2.
Intellectia's exclusive AI algorithms forecast a Neutral forGeneral Motors Co's FY2025Q2 earnings, with a prediction date of Jul 22, 2025. General Motors Co The earnings forecast anticipates balanced outcomes with strong ICE sales offset by margin pressures and EV market challenges.
Leverage Intellectia's AI forecast to position trades ahead of theJul 22, 2025 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 2024-2025 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!