Zscaler Inc (ZS) FY2026Q1 Earning Prediction
Zscaler Inc (ZS) is set to release its FY2026Q1 earnings performance on 11/25 05:00:00 in After Hours trading. Consensus forecasts predict a revenue of 774.00M and an earnings per share (EPS) of 0.86 for the FY2026Q1. 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!
AI Earnings Prediction
Zscaler is expected to deliver a 'Beat' in its earnings, driven by strong demand for AI security solutions and operational efficiency improvements.
Scenario Analysis
Key Indicators Forecast
No data
Prediction Logic & Rational
Logic & Justification
Fact Data Analysis:
- Strategic Acquisitions & Product Launches:
SPLX Acquisition: Enhances Zero Trust Exchange with AI-driven asset discovery and governance, directly addressing growing enterprise demand for securing AI lifecycle management. This strengthens Zscaler’s competitive edge in cybersecurity, likely driving ARR and RPO growth.
ZDX Launch: Reduces issue resolution time by 98%, improving customer retention and upsell potential (supports revenue and margin expansion).
- Analyst Sentiment:
Multiple upward target revisions (e.g., RBC Capital, BofA) highlight confidence in Zscaler’s execution amid AI-driven security trends and Zero Trust adoption.
RBC notes "larger-than-anticipated" market opportunity, reinforcing RPO and ARR upside.
- Operational Efficiency:
- Focus on scaling Zero Trust platforms and automated solutions (via SPLX) supports operating margin improvements despite potential Q1 seasonality flagged by Barclays.
Key Risks:
Barclays cautions about "seasonal slowness" in FQ1, which could temper revenue upside.
High valuation expectations necessitate a clear beat to sustain momentum.
Tactical Strategy Recommendations
Trading Strategy
Bullish Plays:
- Stock: Accumulate shares ahead of earnings; positive sentiment around AI/Zero Trust tailwinds.
- Options: Buy December $300 calls (volatility post-earnings likely).
- Pairs Trade: Long ZS vs. SentinelOne (S) due to Zscaler’s clearer AI monetization path.
Hedging:
- Sell upside calls at $320 to capitalize on elevated IV while holding shares.
- Use put spreads (e.g., $250/$270) for downside protection given elevated sector valuations.
Catalysts to Monitor:
- Early adoption metrics for ZDX and SPLX integration.
- Enterprise budget shifts toward AI security in Q4.
Earnings Surprise Analysis
ZS Transcript
The earnings call presents a positive outlook with strong revenue growth driven by strategic pillars like Zero Trust and AI security. Despite a slight decline in gross margin, the company maintains efficient cost management and strong cash flow margins. Analyst questions highlight strong demand for products, significant growth potential, and a stable competitive landscape. The Q&A section reveals positive sentiment towards management's strategic direction, especially in Zero Trust areas. Although Red Canary's contribution is minimal, its integration is progressing well. Overall, the company's strategic initiatives and financial health suggest a positive stock price movement.
ZS Slides
ZS Report
Frequently Asked Questions
What is the Zscaler Inc FY2026Q1 Earnings Release Date and Time?
Zscaler Inc (ZS) is scheduled to release its FY2026Q1 earnings report onNov 25, 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 Zscaler Inc FY2026Q1 Revenue and EPS?
Analysts' consensus predicts 774.00M in revenue and an EPS of 1.00 for Zscaler Inc's FY2026Q1.
What Does Intellectia's AI Predict for Zscaler Inc FY2026Q1 Earnings?
Intellectia's exclusive AI algorithms forecast a Beat forZscaler Inc's FY2026Q1 earnings, with a prediction date of Nov 25, 2025. Zscaler Inc Zscaler is expected to deliver a 'Beat' in its earnings, driven by strong demand for AI security solutions and operational efficiency improvements.
How Can I Use This Earnings Prediction to Trade ZS Stock?
Leverage Intellectia's AI forecast to position trades ahead of theNov 25, 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 Zscaler Inc FY2026Q1?
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!
