Netskope, Inc. Class A Common Stock Q1 FY2027 earnings call

- Company & Q1 Performance Overview * Netskope delivered stronger than expected Q1 financial results, with new logo ARR growing ~60% YoY, an all-time record high gross retention rate, and expanding platform adoption across the customer base. * Approximately half of the company's quota-carrying sales representatives are newly hired and still ramping; management expects these new reps to drive accelerated growth in the second half of fiscal 27 as they reach full productivity. * CFO Drew Del Matto announced his planned retirement after 7 years with the company; he will remain in the role through the search for a successor, then transition to an advisory role, with no change to company strategy or priorities.

- Industry Tailwinds & AI Security Opportunity * Rapid enterprise adoption of generative and agentic AI has created a fast-widening security gap: the average Global 2000 company uses over 140 AI applications, 90% of AI usage is business-unit led and occurs as ungoverned shadow AI, and AI generates massive volumes of new data that creates new attack surfaces and risk. * Netskope's cloud-native Netskope 1 unified platform is uniquely positioned to address AI security: it was built from inception to process granular context from API/JSON traffic (the native language of AI), delivers deep content inspection of transactions at the new edge, and unifies security, networking, analytics, and AI products on a single code base, console, and global new edge private cloud network across 120+ data centers. * Netskope has established key strategic ecosystem partnerships with AI leaders including Anthropic (Project Glasswing), OpenAI (Daybreak program), Google Cloud, and NVIDIA to integrate and co-develop AI security capabilities, reinforcing its central role in enterprise AI adoption.

- Product Innovation * New AI security products launched in Q1 27 include Agentic Broker (visibility/control for MCP agent transactions), AI Guardrails (defense against AI-specific threats), AI Gateway (policy enforcement for LLMs), and AI red teaming. These products are priced per transaction (per prompt/response), and have generated the fastest growing new product pipeline in company history, with early closed deals with beta customers including a US fintech and a large US bank. * Newly released products this quarter include AI Command Center (unified end-to-end visibility, risk prioritization, and automated remediation for enterprise AI footprints) and AgentScope (an architectural foundation for autonomous AI agents that support SecOps and NetOps teams; the first released DLP AI SecOps agent reduced manual alert review dramatically in beta testing). * The company's new edge private cloud infrastructure continues to be enhanced to support data sovereignty requirements, a growing priority for global enterprise customers in the AI era, with granular geo-based policy controls for data processing that competitors cannot match.

- Operational & Go-To-Market Progress * AI is accelerating internal R&D productivity: Netskope has already launched more than 6 major new products in less than half of fiscal 27, double the historical annual launch rate of 2-3 major products per year. * Q1 saw multiple large competitive wins across industries, including a 7-figure 15-product deal with a Fortune 500 US financial services firm, a displacement deal with a Latin American utility, a large 5,000-site SASE deal with an APJ telecom managed service provider, and a full-platform deal with a global manufacturer. * The company expanded its strategic alliance with Deloitte to add a new managed SASE service for enterprise customers, growing its reach via system integrator and managed service partner channels.

Netskope does not break out separate financial results for distinct product segments in this call. Aggregate company-wide results for Q1 FY27 are: total ARR of $845 million (up 29% YoY); net new ARR of $34 million; total revenue of $201.6 million (up 28% YoY); gross margin of 77% (up 3 percentage points YoY); non-GAAP operating margin of -14% (improved 4 percentage points YoY); R&D expenses equal to 37% of revenue (improved 300 basis points YoY). Revenue by region: Americas grew 27% YoY, EMEA grew 31% YoY, APJ grew 25% YoY. Customer segment metrics: 1,600 customers with >$100k ARR (up 23% YoY), representing 85% of total ARR; 57% of all customers use 4+ Netskope 1 products (up from 49% YoY), and 28% use 6+ products (up from 23% YoY); net retention rate (NRR) was 113%; gross retention rate (GRR) reached a company record high, above the mid-90% range. Total remaining performance obligations grew 33% YoY to over $1.2 billion, with contracted future billings growing 71% YoY.

- Second Quarter Fiscal 27 (non-GAAP): Expects revenue of $213 million to $215 million, representing ~25% YoY growth at the midpoint; expects operating margin of -14% to -15%; expects net loss per share of $0.06 to $0.07. - Full Year Fiscal 27 (non-GAAP): Management raised full year revenue guidance to a range of $879 million to $883 million, representing ~24% YoY growth at the midpoint, an increase larger than the Q1 revenue beat, reflecting increased confidence in demand. The guidance maintains expectations for 77% gross margin, operating margin of -9.5% to -10%, net loss per share of $0.18, and a positive full year free cash flow margin of 2% to 4%. - Management expects net new ARR growth to reaccelerate in the second half of fiscal 27, as newly hired sales reps finish ramping and new AI security products gain market traction. ARR growth for the full year is expected to be within 1 percentage point of revenue growth. - Q1 27 free cash flow was the low watermark of the company's ongoing transition to annual customer billing; management expects free cash flow to improve sequentially in Q2, return to positive quarterly free cash flow in the back half of the year, and end the full year positive in line with prior guidance.

- No new material company-specific risks were discussed on the call. Management notes in their opening disclaimer that forward-looking statements are subject to known and unknown risks and uncertainties that could cause actual results to differ materially from expectations, and refers investors to detailed risk disclosures in the company's SEC filings and earnings press release. - Key inherent industry risks referenced in the call include: the rapidly evolving nature of AI adoption and AI threats, which creates uncertainty around customer budget allocation and adoption timelines for new AI security products; the current high proportion of ramping sales representatives, which creates near-term pressure on net new ARR growth and depends on successful productivity ramp in the second half; and continued competitive pressure from legacy security and networking vendors, which can include occasional low-ball pricing attempts to retain customers.

Q: Given the very strong AI growth narrative elsewhere in the sector, and Netskope's lower than expected net new ARR this quarter (against a tough comp) despite higher sales and marketing spend, how can investors be confident in the company's AI product market fit? / A: The AI security market is still in its infancy, as security naturally lags the initial wave of AI adoption by enterprises. Netskope has maintained its consistent over 80% win rate in proof of concept trials, achieved record high gross retention, and grew new logo ARR by nearly 60% year over year. With over half of sales reps currently ramping, and new AI products just launched, management expects net new ARR growth to accelerate in the second half of the fiscal year as reps and new products hit stride.

Q: Can you speak to adoption trends for non-AI parts of the portfolio, and how easy is it for sales reps to add new AI modules to existing platform deals? / A: Adoption of the broader Netskope 1 portfolio continues to grow steadily, with the share of customers using 4+ products increasing from 49% to 57% year over year. All new AI security products are built natively on the existing unified Netskope 1 platform, sharing the same console, network, and policy framework, so no new infrastructure is required for existing customers to adopt them, making cross-selling and new adoption operationally much easier than disjointed competitor offerings. AI security products have already generated the fastest growing new product pipeline in company history.

Q: How are the new AI security products priced, and what is your competitive position in this new market? / A: New AI security products are priced per transaction (per prompt and response), aligned with how customers consume these capabilities. AI command center is priced based on number of agents, and AgentScope AI agents use outcome-based pricing tied to the value delivered (e.g., number of incidents resolved for the DLP SecOps agent). Netskope maintains its over 80% proof of concept win rate across all product lines including AI, and management is focused on getting product in front of customers, confident that win rates will hold as the market develops.

Q: Amid growing industry talk of vendor consolidation, and incumbent vendors using broad platform strategies to crowd out niche players, how has Netskope adjusted its pricing to compete? / A: Netskope does not compete on price; it wins based on the unique value of its unified platform and technology differentiation. The company already consolidates over 25 point products onto a single platform, delivering significant operational cost savings to customers compared to managing multiple disjointed vendors. While competitors occasionally use low-ball pricing when they are at risk of losing a deal, this strategy has consistently failed to deliver for customers, and Netskope's high win rate reflects the strength of its value proposition.

Q: For new AI security products, are sales cycles different from core SaaS, and do these products draw from new or existing security budgets? / A: AI security is still in the early days of market development, but the pipeline growth is already the fastest in company history. Budget for AI security is a mix: some comes from net new budgets allocated to enterprise AI programs, and some comes from existing security and infrastructure budgets. Most enterprises are still figuring out budget allocation for AI security as they work to secure already widespread unstoppable AI usage.