Zscaler, Inc. (ZS) Stock Analysis and Metrics

Sector: Technology Industry: Software - Infrastructure CIK: 0001713683

Market Cap 24.46 Bn

P/E -365.96

P/S 8.15

Div. Yield 0.00

ROIC (Qtr) 0.00

Revenue Growth (1y) (Qtr) 25.91

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About

Zscaler, Inc. provides a cloud native security platform that enables organizations to securely connect users, devices, applications and workloads regardless of location. The company replaced traditional perimeter security with its Zero Trust Exchange which enforces least privilege access and inspects all traffic inline. Zscaler serves enterprises across the globe helping them accelerate cloud adoption while reducing risk and improving user experience. Zscaler generates revenue primarily through subscription sales of its cloud security platform....

Zscaler, Inc. provides a cloud native security platform that enables organizations to securely connect users, devices, applications and workloads regardless of location. The company replaced traditional perimeter security with its Zero Trust Exchange which enforces least privilege access and inspects all traffic inline. Zscaler serves enterprises across the globe helping them accelerate cloud adoption while reducing risk and improving user experience.

Zscaler generates revenue primarily through subscription sales of its cloud security platform. Customers purchase access to bundled solutions that include Zero Trust Everywhere, Data Security Everywhere, Security for AI and Agentic Operations. The company reported revenue of $2,167.8 million in fiscal 2024 and $2,673.1 million in fiscal 2025 reflecting year over year growth of 23 percent.

The company operates through the following segments: Zero Trust Everywhere, Data Security Everywhere, Security for AI, and Agentic Operations.

• Zero Trust Everywhere provides secure access to internet and private applications through services such as Zscaler Internet Access, Zscaler Private Access and Zscaler Digital Experience. It enforces zero trust principles for users, workloads and branch locations.

• Data Security Everywhere focuses on protecting sensitive data across its lifecycle with capabilities such as AI powered data classification, data loss prevention, unified SaaS security, email security and data security posture management.

• Security for AI enables safe adoption of public and private artificial intelligence applications through features such as GenAI security, AI Guard for users, AI SPM, AI Guard for Private LLMs and AI Decoys for LLMs.

• Agentic Operations integrates advanced AI technologies to improve security and IT operations through capabilities such as exposure management, threat management, identity protection and agentic IT operations.

Zscaler holds a strong position in the cloud security market as one of the few providers offering a fully integrated zero trust platform delivered from the cloud. It competes with legacy on premise appliance vendors, large networking companies that add security features to their products and point solution specialists in areas such as firewall, CASB and sandbox. Its competitive advantages include a global multi tenant architecture, rapid deployment of new threat updates and a cloud security effect that blocks newly discovered threats across its entire customer base within minutes.

Zscaler serves a diverse customer base that includes over 9,400 enterprises spanning industries such as financial services, healthcare, insurance, manufacturing, automotive, airlines and transportation, conglomerates, consumer goods and retail, media and communications, public sector and education, energy, technology and telecommunications services. Approximately 40 percent of the Forbes Global 2000 and over 45 percent of the Fortune 500 companies are among its customers.

Investment thesis

Bull case

Zscaler’s ARR has surged to $3.2 billion, a 26% year‑over‑year jump that places the company among the elite cohort of enterprise SaaS firms exceeding $3 billion in ARR while growing above 25%. The company’s three growth pillars—AI security, Zero Trust Everywhere, and Data Security Everywhere—have each driven disproportionate revenue acceleration, with AI security alone posting over 80% growth and already surpassing the $400 million target early. This momentum indicates that the market is underestimating Zscaler’s ability to capture the expanding AI‑driven security niche, especially as more enterprises adopt generative AI and require robust governance and risk mitigation. Coupled with a free‑cash‑flow margin of 52% and a robust $3.3 billion cash position, Zscaler has both the financial headroom and the scalability to invest aggressively in product innovation while maintaining a solid profitability trajectory. The company’s ability to exceed guidance consistently, including the Q1 revenue beat of $788 million against a $773.8 million estimate, demonstrates resilient demand that can weather short‑term cyclical swings, reinforcing the thesis that Zscaler’s growth prospects are materially undervalued by the market.
The Z Flex program has become a game‑changing contract model that unlocks 20% of bookings, up 70% sequentially, and generates a “commit‑to‑spend” dynamic that locks in future ARR at an accelerated pace. By allowing customers to commit upfront and redeploy spend across modules without new procurement cycles, Z Flex significantly improves sales velocity, customer lock‑in, and upsell opportunities. The program’s ability to reduce procurement friction is especially valuable in the enterprise segment, where multi‑module adoption often faces bureaucratic delays. With 450 Zero Trust Everywhere enterprises already on board—well ahead of the target—and the program’s 175 million TCV last quarter, the pipeline for the remainder of fiscal 2026 is poised for robust expansion. This contractual flexibility, coupled with the company’s high gross margin (79.9% vs. 80.6% year‑ago) and its efficient scale (data center CapEx at only 2% of revenue), positions Zscaler to capture a larger share of the SASE market as more enterprises migrate workloads to the cloud and abandon legacy firewalls. The market’s underestimation of Zscaler’s ability to convert enterprise spending into multi‑module, high‑margin revenue is a key driver of the bullish outlook.
Zscaler’s strategic acquisitions—SPLX for AI red‑team capabilities, Red Canary for agentic SOC, and Avalor for data fabric—have been integrated into a coherent platform that delivers end‑to‑end security and data visibility. While the CFO downplayed Red Canary’s material contribution, the integration has already created a closed‑loop remediation path between threat detection and policy enforcement, offering a differentiation that competitors lacking such end‑to‑end intelligence cannot replicate. The added AI guardrails, asset discovery, and red‑team testing are now available to a growing customer base, and the platform’s modularity allows customers to deploy AI security features incrementally, reducing upfront cost and accelerating ROI. Because the AI security market is projected to grow at double‑digit CAGR, Zscaler’s early mover advantage in delivering a full stack of AI‑centric controls positions it to capture a sizable share of a high‑margin niche. The market’s failure to fully account for the synergistic impact of these acquisitions fuels the bullish case.
The company’s focus on margin optimization in the face of rapid product rollout is a disciplined strategy that should allow Zscaler to reverse current margin pressure as new modules scale. Management acknowledged that new offerings are being introduced with “go‑to‑market speed over near‑term profitability,” but also emphasized a future margin expansion in the second half of the fiscal year, with a projected free‑cash‑flow margin of 20%‑26.5%. This indicates a deliberate path to scale profitability alongside growth. The ability to balance margin expansion with product innovation is critical in a competitive environment where SaaS peers frequently undercut on price, and it strengthens the thesis that Zscaler can sustain high operating margins even as it accelerates new‑product adoption.

Zscaler’s ARR has surged to $3.2 billion, a 26% year‑over‑year jump that places the company among the elite cohort of enterprise SaaS firms exceeding $3 billion in ARR while growing above 25%. The company’s three growth pillars—AI security, Zero Trust Everywhere, and Data Security Everywhere—have each driven disproportionate revenue acceleration, with AI security alone posting over 80% growth and already surpassing the $400 million target early. This momentum indicates that the market is underestimating Zscaler’s ability to capture the expanding AI‑driven security niche, especially as more enterprises adopt generative AI and require robust governance and risk mitigation. Coupled with a free‑cash‑flow margin of 52% and a robust $3.3 billion cash position, Zscaler has both the financial headroom and the scalability to invest aggressively in product innovation while maintaining a solid profitability trajectory. The company’s ability to exceed guidance consistently, including the Q1 revenue beat of $788 million against a $773.8 million estimate, demonstrates resilient demand that can weather short‑term cyclical swings, reinforcing the thesis that Zscaler’s growth prospects are materially undervalued by the market.
The Z Flex program has become a game‑changing contract model that unlocks 20% of bookings, up 70% sequentially, and generates a “commit‑to‑spend” dynamic that locks in future ARR at an accelerated pace. By allowing customers to commit upfront and redeploy spend across modules without new procurement cycles, Z Flex significantly improves sales velocity, customer lock‑in, and upsell opportunities. The program’s ability to reduce procurement friction is especially valuable in the enterprise segment, where multi‑module adoption often faces bureaucratic delays. With 450 Zero Trust Everywhere enterprises already on board—well ahead of the target—and the program’s 175 million TCV last quarter, the pipeline for the remainder of fiscal 2026 is poised for robust expansion. This contractual flexibility, coupled with the company’s high gross margin (79.9% vs. 80.6% year‑ago) and its efficient scale (data center CapEx at only 2% of revenue), positions Zscaler to capture a larger share of the SASE market as more enterprises migrate workloads to the cloud and abandon legacy firewalls. The market’s underestimation of Zscaler’s ability to convert enterprise spending into multi‑module, high‑margin revenue is a key driver of the bullish outlook.
Zscaler’s strategic acquisitions—SPLX for AI red‑team capabilities, Red Canary for agentic SOC, and Avalor for data fabric—have been integrated into a coherent platform that delivers end‑to‑end security and data visibility. While the CFO downplayed Red Canary’s material contribution, the integration has already created a closed‑loop remediation path between threat detection and policy enforcement, offering a differentiation that competitors lacking such end‑to‑end intelligence cannot replicate. The added AI guardrails, asset discovery, and red‑team testing are now available to a growing customer base, and the platform’s modularity allows customers to deploy AI security features incrementally, reducing upfront cost and accelerating ROI. Because the AI security market is projected to grow at double‑digit CAGR, Zscaler’s early mover advantage in delivering a full stack of AI‑centric controls positions it to capture a sizable share of a high‑margin niche. The market’s failure to fully account for the synergistic impact of these acquisitions fuels the bullish case.
The company’s focus on margin optimization in the face of rapid product rollout is a disciplined strategy that should allow Zscaler to reverse current margin pressure as new modules scale. Management acknowledged that new offerings are being introduced with “go‑to‑market speed over near‑term profitability,” but also emphasized a future margin expansion in the second half of the fiscal year, with a projected free‑cash‑flow margin of 20%‑26.5%. This indicates a deliberate path to scale profitability alongside growth. The ability to balance margin expansion with product innovation is critical in a competitive environment where SaaS peers frequently undercut on price, and it strengthens the thesis that Zscaler can sustain high operating margins even as it accelerates new‑product adoption.

Bear case

Management’s candid admission that gross margin pressure has risen due to the rapid adoption of new offerings signals an imminent erosion of profitability if the momentum stalls. The company’s gross margin fell from 80.6% to 79.9% year‑over‑year, and the CFO emphasized that the “new products” are prioritized for go‑to‑market speed over near‑term profitability. While the company projects a free‑cash‑flow margin of 20%‑26.5% for the full year, this range is heavily contingent on margin expansion that has yet to materialize. If the cost of scaling AI and data security modules continues to outpace revenue, the operating margin could compress, undermining the company’s claim of 21.8% operating margin in Q1. Investors should be wary of a scenario where continued margin pressure leads to a slowdown in earnings growth, especially as the market’s valuation is already 61% higher this year.
The Z Flex program, while touted as a revenue‑lock‑in mechanism, may also create a customer concentration risk. The program’s flexible spend model relies on large, multi‑module commitments, and the company reported that only 20% of bookings came from Z Flex. If the program fails to convert into consistent, predictable ARR, the company could face volatile revenue streams, especially if large enterprises opt for more granular, a‑la‑carte purchases. Additionally, the program’s success is tied to the willingness of customers to commit to longer‑term contracts; any shift in enterprise procurement policy toward more agile, subscription‑only models could diminish the effectiveness of Z Flex, exposing the company to increased churn risk.
Zscaler’s expansion into AI security and agentic SOC is heavily reliant on the continued adoption of generative AI by enterprises. While the company claims high adoption rates, the Q&A revealed a cautious stance on the actual contribution of Red Canary to overall ARR, with management stating the contribution is “not material.” This ambivalence raises concerns about the pace and depth of AI security revenue capture. The AI security market is also highly competitive, with several vendors offering specialized AI‑centric threat detection and red‑team services. If Zscaler fails to differentiate effectively or if competitors provide more cost‑effective solutions, the company’s AI security ARR could plateau, undermining the growth thesis.
Enterprise cyber budgets are becoming increasingly constrained as CFOs face broader IT spend pressures. The Q&A highlighted that “IT budgets remain tight” and that “there is less pressure on the cyber side of it.” Even though Zscaler has benefited from a SASE tailwind, the overall growth in enterprise cybersecurity spending may not sustain the aggressive 23%‑24% YoY revenue growth forecast. Any slowdown in new security spend or a shift toward cloud‑first procurement models that favor cheaper, multi‑vendor solutions could erode Zscaler’s market share. The company’s heavy reliance on the enterprise segment, especially Fortune 500 and Global 2000 customers, also exposes it to cyclical downturns that can affect large‑scale procurement decisions.
The company’s emphasis on zero‑trust and SASE may become a “buzzword” rather than a differentiator as more vendors mature in the space. In the Q&A, the CEO repeatedly dismissed “SASE” as a vague term, focusing instead on Zero Trust Everywhere. However, the competitive landscape is shifting, with rivals such as Palo Alto Networks, Cisco, and emerging SASE players actively expanding their product portfolios. If Zscaler cannot maintain its perceived leadership in zero‑trust security—particularly in cloud workload protection and branch deployments—customers may shift to competitors offering comparable functionality at lower cost. This risk is amplified by the company’s acknowledgment that the zero‑trust branch product is “in great shape” but may still require “additional work” to accelerate adoption, indicating a potential lag in go‑to‑market maturity.

Management’s candid admission that gross margin pressure has risen due to the rapid adoption of new offerings signals an imminent erosion of profitability if the momentum stalls. The company’s gross margin fell from 80.6% to 79.9% year‑over‑year, and the CFO emphasized that the “new products” are prioritized for go‑to‑market speed over near‑term profitability. While the company projects a free‑cash‑flow margin of 20%‑26.5% for the full year, this range is heavily contingent on margin expansion that has yet to materialize. If the cost of scaling AI and data security modules continues to outpace revenue, the operating margin could compress, undermining the company’s claim of 21.8% operating margin in Q1. Investors should be wary of a scenario where continued margin pressure leads to a slowdown in earnings growth, especially as the market’s valuation is already 61% higher this year.
The Z Flex program, while touted as a revenue‑lock‑in mechanism, may also create a customer concentration risk. The program’s flexible spend model relies on large, multi‑module commitments, and the company reported that only 20% of bookings came from Z Flex. If the program fails to convert into consistent, predictable ARR, the company could face volatile revenue streams, especially if large enterprises opt for more granular, a‑la‑carte purchases. Additionally, the program’s success is tied to the willingness of customers to commit to longer‑term contracts; any shift in enterprise procurement policy toward more agile, subscription‑only models could diminish the effectiveness of Z Flex, exposing the company to increased churn risk.
Zscaler’s expansion into AI security and agentic SOC is heavily reliant on the continued adoption of generative AI by enterprises. While the company claims high adoption rates, the Q&A revealed a cautious stance on the actual contribution of Red Canary to overall ARR, with management stating the contribution is “not material.” This ambivalence raises concerns about the pace and depth of AI security revenue capture. The AI security market is also highly competitive, with several vendors offering specialized AI‑centric threat detection and red‑team services. If Zscaler fails to differentiate effectively or if competitors provide more cost‑effective solutions, the company’s AI security ARR could plateau, undermining the growth thesis.
Enterprise cyber budgets are becoming increasingly constrained as CFOs face broader IT spend pressures. The Q&A highlighted that “IT budgets remain tight” and that “there is less pressure on the cyber side of it.” Even though Zscaler has benefited from a SASE tailwind, the overall growth in enterprise cybersecurity spending may not sustain the aggressive 23%‑24% YoY revenue growth forecast. Any slowdown in new security spend or a shift toward cloud‑first procurement models that favor cheaper, multi‑vendor solutions could erode Zscaler’s market share. The company’s heavy reliance on the enterprise segment, especially Fortune 500 and Global 2000 customers, also exposes it to cyclical downturns that can affect large‑scale procurement decisions.
The company’s emphasis on zero‑trust and SASE may become a “buzzword” rather than a differentiator as more vendors mature in the space. In the Q&A, the CEO repeatedly dismissed “SASE” as a vague term, focusing instead on Zero Trust Everywhere. However, the competitive landscape is shifting, with rivals such as Palo Alto Networks, Cisco, and emerging SASE players actively expanding their product portfolios. If Zscaler cannot maintain its perceived leadership in zero‑trust security—particularly in cloud workload protection and branch deployments—customers may shift to competitors offering comparable functionality at lower cost. This risk is amplified by the company’s acknowledgment that the zero‑trust branch product is “in great shape” but may still require “additional work” to accelerate adoption, indicating a potential lag in go‑to‑market maturity.

Concentration Risk Benchmark Breakdown of Revenue (2025)

Peer comparison

Companies in the Software - Infrastructure

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1	MSFT	Microsoft Corp	3,034.78 Bn	24.23	9.54	40.26 Bn
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3	PLTR	Palantir Technologies Inc.	319.80 Bn	139.16	61.21	-
4	PANW	Palo Alto Networks Inc	164.94 Bn	126.91	16.67	-
5	CRWD	CrowdStrike Holdings, Inc.	145.59 Bn	-893.88	30.26	0.75 Bn
6	SNPS	Synopsys Inc	96.65 Bn	77.47	12.07	10.04 Bn
7	FTNT	Fortinet, Inc.	90.04 Bn	46.88	12.67	0.50 Bn
8	NET	Cloudflare, Inc.	70.23 Bn	-796.68	30.16	1.29 Bn

Research Tools

Zscaler, Inc. (NASDAQ: ZS)

About

Investment thesis

Bull case

Bear case

Concentration Risk Benchmark Breakdown of Revenue (2025)

Concentration Risk Benchmark Breakdown of Revenue (2025)

Peer comparison

Research Tools

Zscaler, Inc. (NASDAQ: ZS)

About

Investment thesis

Bull case

Bear case

Concentration Risk Benchmark Breakdown of Revenue (2025)

Concentration Risk Benchmark Breakdown of Revenue (2025)

Peer comparison

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