Endava PLC (DAVA) FY2025Q4 Earning Prediction
Endava PLC (DAVA) is set to release its earnings performance on 09/04 04:00:00 in Pre-Market trading. Consensus forecasts predict a revenue of 187.00M and an earnings per share (EPS) of 0.32 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
DAVA Transcript
The earnings call reveals a weak financial outlook with decreased revenue guidance and EPS, compounded by unexpected credits impacting performance. Despite the optimistic long-term view on AI transition and new deals, the immediate financial health and guidance adjustments are concerning. The market cap suggests moderate volatility, leading to a likely negative stock price reaction.
The earnings call summary indicates mixed signals: strong financial health with no debt and increased dividends, but challenges with AI monetization, competitive pressures, and restructuring costs. The Q&A reveals management's vague responses on AI impact and customer churn, adding uncertainty. Positive aspects include share buyback and cash flow strength. The market cap suggests a moderate reaction, leading to a neutral sentiment prediction within -2% to 2% range.
DAVA Report
Frequently Asked Questions
What is the Endava PLC FY2025Q4 Earnings Release Date and Time?
Endava PLC (DAVA) is scheduled to release its FY2025Q4 earnings report onSep 4, 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 Endava PLC FY2025Q4 Revenue and EPS?
Analysts' consensus predicts 187.00M in revenue and an EPS of 0.00 for Endava PLC's FY2025Q4.
What Does Intellectia's AI Predict for Endava PLC FY2025Q4 Earnings?
Intellectia's exclusive AI algorithms forecast a forEndava PLC's FY2025Q4 earnings, with a prediction date of Sep 4, 2025. Endava PLC
How Can I Use This Earnings Prediction to Trade DAVA Stock?
Leverage Intellectia's AI forecast to position trades ahead of theSep 4, 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 Endava PLC FY2025Q4?
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!
