Netskope, Inc. Class A Common Stock
Netskope, Inc. Class A Common Stock Q2 FY2027 earnings call
September 2, 2026 · fiscal period ended 2026-07
EPS · actual vs est
Revenue · actual vs est
Summary
Generated 2026-09-02
Management highlights
- AI Security Momentum: Strong demand for the AI security suite; ~1/3 of the pipeline is in Proof of Concept (POC) stage. Early wins include deals with global electronics manufacturers and auto insurers.
- Platform Expansion: 59% of customers now use 4+ Netskope One products (up from 51%). Customers spending >$100k ARR grew 23% YoY.
- Strategic Partnerships: Joined NVIDIA’s Open Secure AI Alliance, CrowdStrike’s Project QuiltWorks, and Anthropic/OpenAI programs. Launched Catalyst Managed Service Provider program.
- Product Innovation: Released DataSec Command Center, AI Fast Path (reducing latency by up to 90%), and native Post-Quantum Cryptography (PQC) support across NewEdge.
- Operational Efficiency: Reduced workforce by ~5% to drive AI nativeness. Reallocation of spend toward AI infrastructure in R&D/G&A. Free Cash Flow negative $29.8 million, slightly ahead of expectations due to top/bottom-line outperformance.
Segment performance
Revenue grew 29% year-over-year to $221 million. Net New ARR was $54 million, and Total ARR reached $899 million (up 27% YoY). Gross Margin was 77%. Operating Margin improved 11 percentage points YoY to -9%. Net Loss per Share was $0.03.
Guidance
- Q3 FY2027 Revenue: Expected between $227 million and $229 million (~24% growth).
- Q3 FY2027 Operating Margin: Approximately -8%.
- Full Year FY2027 Revenue: Raised guidance to $888 million–$892 million (~26% growth), exceeding prior expectations.
- Full Year FY2027 Operating Margin: Approximately -9%.
- Full Year FY2027 Free Cash Flow: Positive margin of approximately 2%.
- CapEx: Full-year CapEx expected at 4%-5% of revenue for NewEdge infrastructure.
Risks
- Rogue Agent Risk: Autonomous AI agents may exploit vulnerabilities or escalate privileges without malicious intent, expanding the attack surface beyond human adversaries.
- Sales Cycle Duration: Enterprise sales cycles for AI security solutions typically take 6-12 months (evaluation, budget approval, procurement), delaying immediate revenue recognition.
- Workforce Reduction: Recent 5% headcount reduction carries execution risk as the company transitions to an AI-native operating model.
Q&A highlights
Q: Analyst asked about drivers for ARR acceleration and quantification of AI contribution.
A: Sanjay Beri highlighted that while closed AI deals are early, ~1/3 of the AI pipeline is in POCs. Acceleration is driven by ramping sales reps (50% currently ramping, focusing on EMEA/APJ first) and the 6-12 month enterprise cycle converting later in the year. He emphasized Netskope's position as a traffic processing point via NewEdge, providing visibility and policy enforcement for agentic AI.
Q: Analyst asked which AI products resonate best and if they open new prospects.
A: Beri identified Agentic Broker (visibility into agent/MCP traffic) and AI Guardrails (prompt/response governance) as top performers. These address the 'shadow AI' problem where business units deploy unsanctioned tools. The AI Command Center provides unified governance. These capabilities help penetrate accounts previously difficult to access due to lack of AI-specific controls.
Q: Analyst asked about quantum-proof cryptography opportunities and federal government progress.
A: Beri explained Netskope has natively integrated NIST-approved post-quantum cryptography (Lattice-based) across its global network. This future-proofs customers against 'harvest now, decrypt later' threats and aids regulatory compliance. In the federal space, Netskope is FedRAMP High certified and ramping its dedicated sales team, viewing it as a small but important growing segment.
Q: Analyst asked if AI product sales compress or elongate cycles compared to traditional security.
A: Beri noted that technical deployment is simplified due to the unified platform (common GUI/policies), making POCs easy for existing customers. However, the broader sales cycle remains 6-12 months due to budget approvals. Pricing models vary: Agentic Broker uses transaction-based pricing (fitting agent behavior), while AgentSkope uses outcome-based pricing.
Key numbers
Reported versus consensus
Earnings calendar feed
| Metric | Reported | Consensus | Delta | Prior year |
|---|---|---|---|---|
| EPS | $-0.03 | $-0.07 | +55.7% | $-0.03 |
| Revenue | $220.5M | $214.2M | +3.0% | $220.5M |
Transcript
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