Financial Perspectives: CFO - ZSCALER INC

Explicit Guidance:

• Fiscal 27: Revenue and ARR guidance remains unchanged (reaffirmed) based on prior fiscal 27 targets.
• Fiscal 31 Base Case: Organically growing ARR to over $8 billion (more than doubling current ARR within five years).
• Fiscal 31 Upside Case: Potential to reach $10 billion in ARR by fiscal 31 if agentic AI adoption accelerates rapidly, driven by an estimated $2 billion upside contribution over the next two years.
• Gross Margins: Expected to remain consistent around 80% through fiscal 31.
• Operating Margins: Anticipated continued expansion through fiscal 31 due to productivity gains in sales & marketing (S&M), leverage in R&D, and automation in G&A.
• Free Cash Flow (FCF): Margins expected to exceed operating margins long-term.
• Capital Expenditure (CapEx): As a percentage of revenue, expected to remain elevated through Fiscal 28 due to memory price headwinds, then normalize to high single digits thereafter as manufacturing capacity scales and component prices decline.
• Sales & Marketing: As a percentage of revenue, expected to trend down.
• R&D: Expected to show modest leverage from mature products while maintaining investment in innovation.
• G&A: Expected to tick down modestly due to AI adoption and automation.
• Stock-Based Compensation (SBC): Long-term focus on aligning with peer group averages, excluding future M&A impacts (historically 1–2 points).

Business-Segment Outlook:

• Zero Trust SASE Everywhere ($3B ARR, 20% CAGR): Foundation remains strong, but growth mix is shifting from seat-based to non-seat-based/metered products.
• Zero Trust Branch & Cloud: Growing at a 75% ARR CAGR (past 3 years) with >60% quarterly growth over the last two years; currently at $250M ARR with only 10% penetration in Global 2000.
• Data Security: ARR accelerated to 34% in Fiscal 26 with bookings up >40% YoY; represents significant upsell potential as <20% of current customers deploy multiple data security products.
• Security for AI: End-of-Fiscal 26 ARR approx. $70M; bookings increased >50% sequentially in Q4, pipeline up >75% sequentially.
• Agentic SecOps: Newly launched integrated offering; expected to become a meaningful adjacent growth opportunity as AI-driven threats operate at machine speed.
• Platform Expansion: Roughly 1/3 of new logo ARR driven by non-foundational offerings (3x vs. 2023). 30% of new/upsell ACV in Fiscal 26 from non-seat-based products.
• Customer Upsell: $15B+ white space identified within the existing installed base ($3.8B current ARR); $6B expansion opportunity specifically in Zero Trust SASE for Users (e.g., 30% of ZIA users have not adopted ZPA).
• Product Launches: Additional Security for AI products expected to reach general availability (GA) later in Fiscal 27, including Zero Trust Exchange for Agents.

Market and Competitive Outlook:

• Addressable Market: Operating in a $220B TAM, leveraging third-party forecasts; platform positioned to capture growing share.
• Demand Trends: Strong demand driven by data exfiltration risks, broader platform adoption, and the emerging "agentic AI" wave.
• Pricing/Friction: ZFlex adoption continues to lower buying friction; ZFlex bookings exceeded $1.7B (TCV) or ~$500M ARR in Fiscal 26, driving a 30% ARR uplift for participating customers.
• Share Shifts: Enterprise customers with multi-product deployments show 121% Net Revenue Retention (NRR) (6 points above overall NRR), validating platform stickiness.
• Retention: Net revenue retention consistent around 115%; gross revenue retention in mid-90s.

Macro / Industry Outlook:

• AI Impact: Management views "agentic AI" as a significant tailwind across the entire portfolio, creating new threats requiring Zero Trust protection for users, branches, and workloads.
• Supply Chain/Components: Memory and component prices are currently elevated but expected to decline in line with Gartner/IDC forecasts, impacting CapEx timing through Fiscal 28.
• Regulatory/Security: Increased focus on data security and AI governance expected to drive demand for comprehensive data security and AI-specific protection solutions.

Strategic Initiatives:

• Product Strategy: Shifting product categorization (e.g., moving Zero Trust Browser to SASE for Users) to better align with go-to-market; continuous innovation in Security for AI and Agentic SecOps.
• Capital Allocation: Priority 1: Reinvest in innovation/resiliency; Priority 2: M&A (technology and talent tuck-ins); Priority 3: Maintain strong balance sheet.
• Expansion: Targeting the $15B+ white space in existing accounts by driving cross-product adoption (e.g., ZPA for ZIA users).
• Efficiency: Driving S&M productivity and leveraging AI/automation for G&A efficiency to support margin expansion.

Risks and Headwinds to Outlook:

• CapEx Timing: Elevated CapEx as a % of revenue expected to persist until Fiscal 28 due to current memory price pressures and capacity ramp-up timing.
• Adoption Uncertainty: The $10B ARR upside case (reaching $10B by Fiscal 31) is explicitly stated as not part of formal guidance; it relies on a "more rapid adoption of agentic AI" which remains a new and emerging area.
• SBC Variability: Future M&A activity (historically 1–2 points of SBC) could impact GAAP profitability and long-term SBC targets.
• Market Competition: While not explicitly quantified as a risk, the reliance on "agentic AI" as a disruptor implies a need to maintain technological leadership against competitors in the SecOps and AI security spaces.

Management Tone on the Future:

• Confidence: High confidence in durable, compounding ARR growth; management describes the trajectory as a "clear path."
• Growth Engines: Explicitly identifies three engines (Zero Trust Branch/Cloud, Data Security, Security for AI) as the primary drivers of future performance.
• Hedges: Conservative stance on AI upside; explicitly decouples the $10B target from guidance until adoption rates are more established.
• Strategic Shift: Emphasis on moving away from "seat-based" growth models toward metered and platform-based value, evidenced by the 30% non-seat ACV mix.

Miscellaneous:

• Customer Lifecycle: Example provided of a Fortune 500 customer growing ARR 30x over six years (CAGR ~74%) via platform expansion from SASE to SecOps to AI.
• Segment Performance: Top 10 customers growing faster than the $1M–$10B ARR cohort, validating the platform strategy for large enterprises.
• Terminology Update: Introduction of "growth engines" framework for quarterly/annual reporting on specific product lines.