Jfrog Ltd (FROG) FY2025Q2 Earning Prediction
Jfrog Ltd (FROG) is set to release its earnings performance on 08/07 04:00:00 in After Hours trading. Consensus forecasts predict a revenue of 123.00M and an earnings per share (EPS) of 0.16 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
FROG Transcript
The earnings call summary and Q&A indicate strong cloud growth, successful go-to-market strategies, and a significant increase in RPO, all positive signs. Despite a decrease in margins, optimistic guidance and execution in cloud and security sectors suggest positive sentiment. The market cap indicates moderate sensitivity, but overall, the outlook is positive due to strong strategic positioning and growth drivers.
The earnings call presents a strong financial performance with 22% YoY revenue growth and a promising partnership with Hugging Face. The guidance aligns with expectations, and the Q&A highlights strategic AI and cloud investments, strong cash flow, and positive analyst sentiment. However, management's reluctance to provide specific future details slightly tempers enthusiasm. Given the market cap, a 2% to 8% positive reaction is likely.
FROG Slides
FROG Report
Frequently Asked Questions
What is the Jfrog Ltd FY2025Q2 Earnings Release Date and Time?
Jfrog Ltd (FROG) is scheduled to release its FY2025Q2 earnings report onAug 7, 2025, 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 Jfrog Ltd FY2025Q2 Revenue and EPS?
Analysts' consensus predicts 123.00M in revenue and an EPS of 0.00 for Jfrog Ltd's FY2025Q2.
What Does Intellectia's AI Predict for Jfrog Ltd FY2025Q2 Earnings?
Intellectia's exclusive AI algorithms forecast a forJfrog Ltd's FY2025Q2 earnings, with a prediction date of Aug 7, 2025. Jfrog Ltd
How Can I Use This Earnings Prediction to Trade FROG Stock?
Leverage Intellectia's AI forecast to position trades ahead of theAug 7, 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 Jfrog Ltd 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!
