Esperion Therapeutics Inc (ESPR) FY2025Q2 Earning Prediction
Esperion Therapeutics Inc (ESPR) is set to release its earnings performance on 08/05 04:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 63.00M and an earnings per share (EPS) of -0.17 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
ESPR Transcript
The earnings call summary reveals strong financial performance with increased royalty revenue and improved coverage approval rates, suggesting growing market confidence. The Q&A section supports this with positive feedback on guideline changes and future growth strategies. Despite flat U.S. revenues, the company has initiatives to drive future growth. The anticipated profitability by Q1 2026, coupled with the strong ESC guidelines reception, further supports a positive outlook. However, the lack of guidance for 2026 introduces some uncertainty, preventing a 'Strong positive' rating.
ESPR Slides
ESPR Report
Frequently Asked Questions
What is the Esperion Therapeutics Inc FY2025Q2 Earnings Release Date and Time?
Esperion Therapeutics Inc (ESPR) is scheduled to release its FY2025Q2 earnings report onAug 5, 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.
What Are the Consensus Forecasts for Esperion Therapeutics Inc FY2025Q2 Revenue and EPS?
Analysts' consensus predicts 63.00M in revenue and an EPS of 0.00 for Esperion Therapeutics Inc's FY2025Q2.
What Does Intellectia's AI Predict for Esperion Therapeutics Inc FY2025Q2 Earnings?
Intellectia's exclusive AI algorithms forecast a forEsperion Therapeutics Inc's FY2025Q2 earnings, with a prediction date of Aug 5, 2025. Esperion Therapeutics Inc
How Can I Use This Earnings Prediction to Trade ESPR Stock?
Leverage Intellectia's AI forecast to position trades ahead of theAug 5, 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.
How Accurate Is Intellectia's AI for Earnings Predictions Like Esperion Therapeutics Inc FY2025Q2?
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!
