Zscaler stock price target maintained at $155 by Morgan Stanley

Morgan Stanley reiterated an Equalweight rating and $155 price target on Zscaler, while UBS and Cantor Fitzgerald remain more bullish at $260 and $300, respectively. The article highlights 23.9% trailing revenue growth, 76.6% gross margins, and AI Security ARR expected to exceed $500 million by FY26, but notes moderating core ZIA/ZPA growth and rising competition. Zscaler’s acquisition of Symmetry and Project AI-Guardian support its AI and platform expansion strategy, though execution risk remains as the company seeks to sustain 20%+ ARR growth into FY27.

Analysis

The bigger signal here is not Zscaler-specific; it is that security platforms are being forced to justify premium multiples by proving they can monetize AI-native workloads before the core enterprise refresh cycle slows further. That creates a barbell outcome across the cyber stack: vendors with a credible data-plane plus identity plane advantage can keep compounding ACV, while point solutions and legacy network-adjacent names risk being used as funding sources for the better platform story. The acquisition also suggests M&A will increasingly be used to fill product gaps in AI governance and data access rather than to drive near-term earnings accretion.

For competitors, the second-order effect is that the battleground shifts from seat-based pricing to workload- and agent-based consumption. That is constructive for large platform vendors with embedded enterprise relationships, but it also compresses differentiation for smaller pure-plays because AI-security budgets will likely be allocated by CIO/CISO committees that prefer fewer vendors and fewer integration points. Over the next 1-2 quarters, channel checks will matter more than headline ARR because the real question is whether AI-security attach rates are pulling demand forward or merely reshuffling existing spend.

The contrarian view is that the market may be underestimating how quickly AI-security products can become material if they are sold as risk controls for production AI deployments rather than as discretionary add-ons. If that happens, the addressable budget expands from security line items into broader digital-transformation spend, which would support elevated multiples for the platform leaders and justify higher M&A intensity. The risk is that this remains a pilot-heavy category with long monetization cycles, in which case current optimism around adjacency expansion will likely fade over the next 6-9 months as investors refocus on core growth deceleration.

Key Decisions for Investors

• Long ZS into the next 1-2 earnings prints only on a pullback and only as a tactical trade: risk/reward improves if management shows AI Security and workload-based ACV accelerating; otherwise the stock can re-rate lower as investors focus on mid-teens core growth.
• Pair trade: long ZS / short a lower-quality cyber platform name with less credible AI/data-security exposure over 3-6 months; the market should continue paying up for vendors that can cross-sell into AI governance and data access.
• Use NVDA weakness as an opportunity to add selectively on any post-earnings softening in AI capex sentiment; security adjacency spend is supportive of enterprise AI adoption, but do not expect direct near-term revenue benefit from this theme.
• Avoid chasing standalone AI-security beneficiaries that lack distribution or a strong installed base; if monetization cycles stay long, these names will likely lag once the initial AI narrative premium fades.
• For event-driven accounts, consider a short-dated ZS strangle into earnings only if implied volatility remains elevated; the setup is binary because upside depends on tangible adjacency acceleration while downside is driven by any sign that core growth is still slowing.