Zscaler, Inc.
ZS scores 38.7 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.
Moderate penalties (-6.8 points) reflect identified risk factors. The overall score balances these against the stock's fundamental strengths.
These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.
No risk factors identified.
| Stock | Score | P/E | Rev Growth | Margin | Mkt Cap |
|---|---|---|---|---|---|
| ZS | 38.7 | 39.6 | 23.3% | -1.6% | $28.3B |
| MPWR | 84.8 | 91.7 | 21.2% | 81.0% | $57.1B |
| ZM | 84.2 | 18.0 | 3.1% | 21.7% | $27.7B |
| NVDA | 80.6 | 45.2 | 114.2% | 55.8% | $4.5T |
| CRUS | 79.7 | 19.1 | 6.0% | 17.5% | $7.4B |
| ASML | 77.8 | 48.1 | 15.6% | 29.4% | $546.0B |
| IDCC | 77.4 | 31.8 | -4.0% | 48.8% | $9.7B |
| CSCO | 77.1 | 27.6 | 5.3% | 18.0% | $303.6B |
| RMBS | 75.5 | 48.3 | 20.7% | 32.3% | $11.0B |
| DBX | 75.3 | 13.9 | 1.9% | 17.7% | $6.4B |
| FSLR | 75.0 | 17.3 | 26.7% | 30.7% | $24.2B |
| SIMO | 74.7 | 9.2 | 10.2% | 13.8% | $4.5B |
| ADI | 74.3 | 74.1 | 16.9% | 20.6% | $165.1B |
| AAPL | 72.5 | 33.1 | 6.4% | 27.0% | $3.9T |
| OLED | 72.5 | 27.0 | 12.4% | 34.3% | $5.9B |
| AMAT | 72.3 | 36.4 | 4.4% | 24.7% | $281.7B |
| Sector Average | 47.4 | 87.8 | 14.8% | -110.0% | â |
Zscaler, Inc. operates as a cloud security company worldwide. The company provides Zscaler Internet Access solution that provides users, servers, operational technology, Internet of Things device secure access to externally managed applications, including software-as-a-service (SaaS) applications and Internet destinations; and Zscaler Private Access solution, which is designed to provide access to managed applications hosted internally in data centers, and private or public clouds. It also offers Zscaler Digital Experience that measures end-to-end user experience across business applications, as well as provides an easy to understand digital experience score for each user, application, and location within an enterprise. In addition, the company provides workload segmentation solutions comprising Zscaler Cloud Security Posture Management that identifies and remediates application misconfigurations in SaaS, infrastructure as a service, and platform as a service to reduce risk and ensure compliance with industry and organizational benchmarks; and Zscaler Cloud Workload Segmentation, which is designed to secure application-to-application communications inside public clouds and data centers to stop lateral threat movement, as well as prevents application compromise and reduces the risk of data breaches. Its platform modules include Zscaler Central Authority, Zscaler Enforcement Node, and Zscaler Log Servers. It serves customers in airlines and transportation, conglomerates, consumer goods and retail, financial services, healthcare, manufacturing, media and communications, public sector and education, technology, and telecommunications services industries. The company was formerly known as SafeChannel, Inc., and changed its name to Zscaler, Inc. in August 2008. Zscaler, Inc. was incorporated in 2007 and is headquartered in San Jose, California.
Stock is building a base after a decline. The 200-day moving average is flattening. Watch for a breakout above the 200-day SMA on increased volume.
| Metric | Q1 2025 | Q4 2025 | Q3 2025 | Q2 2025 |
|---|---|---|---|---|
| Revenue | $788M | $719M | $678M | $648M |
| Gross Profit | $603M | $548M | $522M | $499M |
| Operating Income | $-36M | $-32M | $-22M | $-37M |
| Net Income | $-12M | $-18M | $-4M | $-8M |
| EPS (Diluted) | $-0.07 | $-0.11 | $-0.03 | $-0.05 |
| Gross Margin | 76.6% | 76.1% | 77.0% | 77.1% |
| Operating Margin | -4.6% | -4.5% | -3.3% | -5.7% |
| Net Margin | -1.5% | -2.4% | -0.6% | -1.2% |
Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.
Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.