Applied Industrial Technologies Inc (AIT) Earning Prediction
Applied Industrial Technologies Inc (AIT) is set to release its earnings performance on 01/27 05:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 1.00B and an earnings per share (EPS) of 2.48 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
AIT Transcript
The earnings call summary indicates strong growth in key segments, a positive outlook on sales momentum, and strategic capital allocation. Despite some concerns about LIFO expenses and vague responses on automation demand, the overall sentiment is positive with strong order growth, favorable pricing contributions, and active M&A plans. The Q&A reinforces this with details on destocking completion and robust automation growth. Given the lack of market cap data, but considering the strategic initiatives and positive guidance, a 2% to 8% stock price increase is anticipated.
The earnings call summary and Q&A section reveal mixed signals. While there is growth from acquisitions and improved gross margin, organic sales are slightly down, and order conversions face delays. Management's cautious outlook on pricing and second-quarter guidance implies stability but not strong growth. Positive elements include strong free cash flow and capital allocation priorities. However, uncertainties in demand and order execution, coupled with sequential declines in performance, suggest a neutral sentiment. Without market cap data, the overall prediction for stock price movement remains neutral, expecting limited reaction.
The earnings call summary indicates strong financial performance, with record free cash flow and an increase in fourth-quarter sales. Positive trends in local accounts and M&A synergies are evident. Despite some macroeconomic caution, the guidance remains optimistic. The Q&A further supports this with positive analyst sentiment towards growth in technology verticals and the impact of bonus depreciation. While there are concerns about international markets and cautious guidance, the overall sentiment leans positive, especially with significant acquisitions and share buybacks.
The earnings call reflects positive sentiment with strong financial performance and optimistic guidance. The acquisition of Hydrodyne and increased share repurchase authorization are positive catalysts. Despite some challenges, such as integration issues and competitive pressures, the company shows resilience with improved sales growth projections and a solid balance sheet. The Q&A session revealed some uncertainties, but overall, the company's strategic initiatives and shareholder return plans are likely to lead to a positive stock price movement in the short term.
AIT Slides
Applied Industrial Q2 2026 slides: solid results overshadowed by expense concerns, stock fallsApplied Industrial Technologies Q1 2026 slides: Organic growth accelerates, margins expandApplied Industrial Q4 2025 slides: Return to organic growth with optimistic FY26 outlookAIT Report
Frequently Asked Questions
What is the Applied Industrial Technologies Inc Earnings Release Date and Time?
Applied Industrial Technologies Inc (AIT) is scheduled to release its 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 Applied Industrial Technologies Inc Revenue and EPS?
Analysts' consensus predicts 1.00B in revenue and an EPS of 2.00 for Applied Industrial Technologies Inc's .
What Does Intellectia's AI Predict for Applied Industrial Technologies Inc Earnings?
Intellectia's exclusive AI algorithms forecast a forApplied Industrial Technologies Inc's earnings, with a prediction date of Jan 27, 2026. Applied Industrial Technologies Inc
How Can I Use This Earnings Prediction to Trade AIT 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 Applied Industrial Technologies 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!
