German American Bancorp Inc (GABC) FY2024Q1 Earning Prediction

04/29 04:00:00

German American Bancorp Inc (GABC) is set to release its earnings performance on 04/29 04:00:00 in trading. Consensus forecasts predict a revenue of 62.86M and an earnings per share (EPS) of 0.64 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!

Estimate

Actual

Surprise

RevenueMISS

62.86M

60.82M

-3.24%

EPS-

0.64

0.00%

Earnings Surprise Analysis

The chart displays the extent of earnings surprises and corresponding stock price movements for each earnings event.

Revenue

EPS

GABC Transcript

German American Bancorp (GABC) Presents at KBW Winter Financial Services Conference

Neutral3-2

GABC Report

GERMAN AMERICAN BANCORP, INC. 10-Q

10-Q

2025-08-07

GERMAN AMERICAN BANCORP, INC. 10-Q

10-Q

2024-11-08

GERMAN AMERICAN BANCORP, INC. 10-Q

10-Q

2024-05-08

GERMAN AMERICAN BANCORP, INC. 10-K

10-K

2024-02-27

Frequently Asked Questions

What is the German American Bancorp Inc FY2024Q1 Earnings Release Date and Time?

German American Bancorp Inc (GABC) is scheduled to release its FY2024Q1 earnings report onApr 29, 2024, (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 German American Bancorp Inc FY2024Q1 Revenue and EPS?

Analysts' consensus predicts 62.86M in revenue and an EPS of 0.64 for German American Bancorp Inc's FY2024Q1.

What Does Intellectia's AI Predict for German American Bancorp Inc FY2024Q1 Earnings?

Intellectia's exclusive AI algorithms forecast a forGerman American Bancorp Inc's FY2024Q1 earnings, with a prediction date of Apr 29, 2024. German American Bancorp Inc

How Can I Use This Earnings Prediction to Trade GABC Stock?

Leverage Intellectia's AI forecast to position trades ahead of theApr 29, 2024 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 German American Bancorp Inc FY2024Q1?

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 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!