Netskope (NASDAQ: NTSK) is a publicly traded Network & Zero Trust company founded in 2012 and based in Santa Clara, United States.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Sep 18, 2025 | IPO (Nasdaq: NTSK) | $908.2M | $7.3B | — |
Netskope reported Q1 fiscal 2027 revenue of $201.6 million, up 28% year-over-year, with annual recurring revenue growing 29% to $845 million. GAAP gross margin improved to 74% from 69% prior year; however, GAAP operating loss widened to $(108.7) million from $(45.4) million, driven by elevated operating expenses (sales & marketing, R&D, and G&A spending all increased substantially). GAAP net loss per share was $(0.29) versus $(0.76) prior year. The company launched Netskope One AgentSkope, a framework for autonomous AI agents, and announced AI Command Center for enterprise risk management. Cash flow deteriorated: operating cash burn was $(53.9) million versus positive $25.6 million last year; free cash flow declined to $(57.2) million. For Q2 FY2027, guidance calls for revenue of $213–215 million (25–26% YoY growth). Full-year FY2027 revenue is guided at $879–883 million (24–25% YoY growth), with non-GAAP gross margin of ~77% and free cash flow margin of 2–4%.
Q2 FY2027: $213–215M revenue (25–26% YoY); FY2027: $879–883M revenue (24–25% YoY), non-GAAP gross margin ~77%, free cash flow margin 2–4%
A converged security service edge and SASE platform that inspects cloud, web, and private-application traffic inline from Netskope's NewEdge private cloud to enforce zero-trust access and data-protection policy. It combines secure web gateway, cloud access security broker (CASB), zero-trust network access (ZTNA), data loss prevention, and SD-WAN, with deep contextual awareness of thousands of cloud apps and their activities. Enterprises use it to control how sensitive data moves across managed and unmanaged cloud services and to connect a distributed workforce securely without backhauling traffic through legacy appliances.
79 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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