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NTSK

Netskope, Inc. Class A Common Stock

NASDAQ · Technology · Software - Services · US

$13.94
−2.79%
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Analyst consensus

Next report date
Dec 11, 2026
EPS estimate
-$0.04
Revenue estimate
$228.2M

Latest reported

Last report date
Sep 2, 2026
EPS actual
-$0.03
EPS estimate
-$0.07
Revenue actual
$220.5M
Revenue estimate
$214.2M

Track record

Trailing twelve quarters

EPS beats (12Q)
4
EPS misses (12Q)
0
EPS in line (12Q)
0
Avg surprise (4Q)
+40.8%
Revenue beats (12Q)
4

Analyst ratings

Sell-side consensus

Consensus
Buy
Price target
$18
PT range
$16 – $20
Analysts
13
12 Buy1 Hold0 Sell
Earnings call summaryRead the full call →

Q2 FY2026 · Sep 2, 2026

AI summary of management’s prepared remarks and analyst Q&A · For informational purposes only, not investment advice

Management highlights

  • Strong Financial Outperformance: Q2 revenue grew 29% YoY to $221 million, beating guidance. Operating margin improved by 11 percentage points YoY to -9%. Net new ARR was $54 million.
  • AI Security Momentum: The AI Security Suite is gaining traction with strong customer engagement and pipeline generation. Approximately one-third of the AI security pipeline is in or entering the Proof of Concept (POC) phase. Early wins include deals with global electronics manufacturers and auto insurers.
  • Platform Expansion & Stickiness: Customer adoption of the Netskope One platform is deepening; 59% of customers now use four or more products (up from 51% YoY). Customers spending over $100k in ARR grew 23% YoY.
  • Product Innovations: Launched 'Dataset Command Center' for unified sensitive data visibility, 'AI FastPath' technology reducing latency by up to 90%, and native integration of NIST-approved post-quantum cryptography algorithms across its New Edge network.
  • Strategic Partnerships: Joined NVIDIA’s Open Secure AI Alliance, CrowdStrike’s Project Quiltworks, and integrated with Anthropic and Amazon Bedrock. Launched the Catalyst Managed Service Provider Program to expand mid-market reach.
  • Operational Efficiency: Reduced workforce by approximately 5% to drive AI nativeness. Reallocated some R&D and G&A spend toward AI infrastructure and tokens. Gross margin increased to 77%, approaching the long-term target of 80%.

Guidance

  • Q3 Fiscal 2027 Revenue: Expected between $227 million and $229 million, representing approx. 24% growth.
  • Q3 Fiscal 2027 Operating Margin: Expected at approximately negative 8%.
  • Full Year Fiscal 2027 Revenue: Raised guidance to a range of $888 million to $892 million, representing approx. 26% growth. This upward revision reflects strong demand and early AI security traction.
  • Full Year Fiscal 2027 Operating Margin: Expected at approximately negative 9%.
  • Full Year Fiscal 2027 Free Cash Flow: Positive free cash flow margin expected at approximately 2%.
  • CapEx: Full-year capital expenditures expected to be 4-5% of revenue, driven by continued investment in the New Edge private cloud network.

Segment performance

The transcript does not provide a breakdown of financial performance by specific product segment. The company reports consolidated results: Revenue was $221 million (up 29% year-over-year), ARR reached $899 million (up 27% year-over-year), and Net Retention Rate (NRR) increased to 114%. Operating margin improved significantly to negative 9%, outperforming guidance.

Risks & headwinds

  • Rogue AI Agent Risks: Emerging threat where autonomous AI agents may exploit vulnerabilities or escalate privileges without explicit malicious intent, broadening the attack surface beyond human adversaries.
  • Quantum Computing Threats: Sophisticated actors using 'harvest now, decrypt later' techniques pose a risk to current encryption standards, necessitating rapid transition to post-quantum cryptography.
  • Sales Cycle Length: Enterprise sales cycles for AI security solutions typically take 6-12 months due to budgeting and procurement processes, potentially delaying near-term revenue recognition from the strong POC pipeline.
  • Workforce Reduction Impact: A 5% reduction in headcount was executed to improve efficiency and focus on AI, which carries inherent operational and cultural risks during transition.

Analyst Q&A

Q: Analyst asked about drivers for ARR acceleration and how to quantify Netskope's positioning in the AI era. / A: CEO cited ramping sales reps (50% currently ramping) as key for H2 growth. Positioned strongly because Netskope already processes trillions of AI connections via its New Edge network, providing inherent visibility into agent/user traffic. New products like Agentic Broker and Guardrails allow real-time policy enforcement on this existing traffic without complex deployment, turning visibility into governance quickly.

Q: Analyst asked which AI security products resonate most and if they help win new logos. / A: CEO identified Agentic Broker (visibility into agent traffic) and Guardrails (prompt/response filtering) as top resonating products. These address the 'shadow AI' problem where business units adopt AI unsanctioned. By solving visibility first, Netskope gains entry to prospects who previously lacked control, facilitating upsells from existing SSE/SASE customers.

Q: Analyst asked about the timeline and monetization of the AI security pipeline currently in POC. / A: CEO noted that while some beta customers converted early, the bulk of the 6-12 month enterprise cycle pushes conversions to late Q3 and Q4. Monetization is viewed as a multi-product pillar rather than a single SKU; customers will incrementally adopt components like Agentic Broker, Guardrails, and Dataset Command Center as their sophistication grows.

Q: Analyst asked about the rationale behind increased CapEx guidance (4-5% of revenue) for the New Edge network. / A: CFO clarified this is consistent with long-term low-single-digit targets, slightly adjusted upward due to stronger-than-expected ARR inflows requiring capacity scaling. It is primarily demand-driven rather than speculative pre-building, ensuring the network can handle growing agentic traffic volumes efficiently.

Q: Analyst asked about the natural ceiling for NRR and how portfolio breadth supports expansion. / A: CEO stated NRR historically fluctuates in the 113-115% range but remains durable. With average customers using 4-5 products, there is significant room for upselling across the 25+ product suite. AI security serves as a major new pillar for expansion, allowing customers to grow their footprint over many years as they deepen their AI adoption.

Reported results against consensus at the time of each report · Surprise is computed from the estimate on record · Data as of Dec 11, 2026