Universal Health Services Inc (UHS) Earning Prediction
Universal Health Services Inc (UHS) is set to release its earnings performance on 02/25 16:16:00 ET in After Hours trading. Consensus forecasts predict a revenue of 4.48B and an earnings per share (EPS) of 5.91 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
UHS Transcript
The earnings call presents a mixed but overall positive outlook. The increase in 2025 EPS guidance and positive EBITDA from new facilities are strong positives. Despite some challenges, such as startup losses and cannibalization, the optimistic guidance and strategic expansions in behavioral health are promising. The Q&A reveals some concerns, but the overall sentiment leans positive, especially with increased guidance and strategic growth plans. No strong negative factors were highlighted, and the company's proactive approach to challenges suggests a likely positive stock price movement.
UHS Report
Frequently Asked Questions
What is the Universal Health Services Inc Earnings Release Date and Time?
Universal Health Services Inc (UHS) is scheduled to release its earnings report onFeb 25, 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 Universal Health Services Inc Revenue and EPS?
Analysts' consensus predicts 4.48B in revenue and an EPS of 5.91 for Universal Health Services Inc's .
What Does Intellectia's AI Predict for Universal Health Services Inc Earnings?
Intellectia's exclusive AI algorithms forecast a forUniversal Health Services Inc's earnings, with a prediction date of Feb 25, 2026. Universal Health Services Inc
How Can I Use This Earnings Prediction to Trade UHS Stock?
Leverage Intellectia's AI forecast to position trades ahead of theFeb 25, 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 Universal Health Services Inc ?
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!
