SNOW Q2 2026: 125% NRR and AI Consumption Bolster Growth Outlook
- AI-Driven Growth and Innovation: Executives emphasized strong customer adoption of advanced AI features (e.g., Snowflake Intelligence, Cortex AI, and Snowpark Connect) that are organically driving usage and broad penetration across enterprises, reinforcing the long-term growth potential for both revenue and customer engagement.
- Robust Core Business and Upside from Migrations: The call highlighted durable momentum in core data warehousing with record new million-dollar customer adds and a 125% net revenue retention rate, driven by migrations of legacy systems to the cloud, which bodes well for continued consumption growth.
- Strategic Cloud Partnership and Sector Expansion: The team pointed to accelerated growth on the Azure cloud (up 40% year-over-year) and ongoing expansion into key enterprise segments, suggesting that strategic partnerships and multi-cloud strength will propel future revenue and market share gains.
- Reliance on transient migration-driven consumption: The company’s growth appears to be significantly bolstered by spikes in consumption from large customer migration events. However, these spikes tend to normalize over time, raising concerns that future revenue growth may decelerate once major migrations taper off.
- High investment in sales and marketing headcount: Snowflake has aggressively increased its sales and marketing team—hiring more in the first half than in the prior two years combined. If the incremental revenue from these new hires does not materialize as expected, this could pressure operating margins.
- Dependence on early-stage AI initiatives: While Snowflake is broadening its product portfolio with AI-driven offerings, much of the monetization from these initiatives remains unproven. This reliance on nascent AI adoption and the challenge of converting broad usage into significant revenue growth introduces execution risk.
Metric | YoY Change | Reason |
---|---|---|
Total Revenue | +26% [N/A] | Total Revenue increased by 26% YoY, reflecting consistent underlying strengths such as product revenue growth and customer expansion observed in previous periods (e.g., product revenue growth of 34% in Q1 FY25 and 26% in Q1 FY26), which helped drive overall revenue performance [N/A]. |
Subscription Revenue (core business) | +28% [N/A] | Subscription Revenue grew by 28% YoY, supported by robust demand for core products, new product innovations, and expanding customer base—a trend consistent with earlier periods where subscription revenue growth was driven by factors like the launch of new features and increased usage [N/A]. |
Professional Services & Other Revenue | +15% [N/A] | Professional Services and Other Revenue increased by 15% YoY, continuing the growth seen previously (with Q1 FY25 showing a 17% gain and Q1 FY26 around 15.7% YoY) as a result of the expansion of service offerings and the evolution of customer support functions. |
North America Revenue | +18% [N/A] | North America revenue grew by 18% YoY, largely due to its established role as the primary revenue contributor, consistent with historical trends (e.g., 78–79% share in earlier quarters) that reflect stable demand and market presence in the region. |
APAC Revenue | +40% [N/A] | APAC revenue surged by 40% YoY to $50 million, indicating strong market penetration and rapid adoption in the region, which contrasts with the more modest geographic shifts in previous periods (APAC remained around 5–6% of total revenue) and suggests accelerated regional growth [N/A]. |
Net Retention Rate | +5 pp [N/A] | Net Retention Rate improved by 5 percentage points to 135% YoY, highlighting enhanced revenue expansion from existing customers. This improvement is likely due to better upselling, product adoption, and overall customer engagement—findings that provide a positive counterpoint to earlier periods when NRR showed lower levels (e.g., 128% and 124% in prior quarters) [N/A]. |
Metric | Period | Previous Guidance | Current Guidance | Change |
---|---|---|---|---|
Product Revenue | Q3 2026 | no prior guidance [N/A] | $1,125,000,000 to $1,130,000,000 (25% to 26% YoY) | no prior guidance |
Non-GAAP Operating Margin | Q3 2026 | no prior guidance [N/A] | 9% | no prior guidance |
Revenue | FY 2026 | $4.325 billion, 25% YoY | $4,395,000,000 (27% YoY) | raised |
Non-GAAP Product Gross Margin | FY 2026 | 75% | 75% | no change |
Non-GAAP Operating Margin | FY 2026 | 8% | 9% | raised |
Non-GAAP Adjusted Free Cash Flow Margin | FY 2026 | 25% | 25% | no change |
Topic | Previous Mentions | Current Period | Trend |
---|---|---|---|
Advanced AI Initiatives | Discussed extensively in Q1 (focus on Cortex AI, AI Data Cloud momentum with integrations including Meta’s Llama 4 and early proofs of concept ) and in Q4/Q3 (introduction of Cortex AI products, partnerships with Anthropic and integration of leading models ) | Q2 highlights new offerings such as Snowflake Intelligence in public preview, enhanced Cortex AI features with integration including GPT‑5 models, a focus on agentic AI and clear indications of 25% AI use cases | Continuous expansion and deepening of AI capabilities, with a new emphasis on agentic AI and public previews that signal maturation of the portfolio |
Monetization Risks | In Q1, risks were addressed by noting that AI isn’t sold as a separate SKU and its revenue impact is modest , while Q4 highlighted risks such as performance improvements reducing resource consumption and cautious revenue guidance. Q3 provided no explicit details. | Q2 outlines that while AI adoption is growing, the monetization model is still evolving; emphasis on balancing core business with AI monetization challenges and uncertainties in translating adoption into revenue | Persistent concerns with evolving strategies – early Q-periods focused on integrated AI usage while Q2 puts more explicit focus on refining monetization and aligning it with core business sustainability |
Robust Core Business Performance and High Customer Retention | Consistently strong performance noted in Q1 (strong revenue growth in core; high NRR around 124% ), Q4 (28% YoY growth and strong RPO, NRR at 126% ) and Q3 (over $900M revenue, NRR around 127% with large deal momentum ) | Q2 shows robust core revenue ($1.09B with 32% YoY growth) and higher customer retention (NRR of 125%, with record additions of high-revenue customers) | Steady momentum with incremental improvements in performance and customer retention, reinforcing the strength of its core business |
Sustainability of Migration‐Driven Consumption | Q1 discussed uptick in migration usage via SnowConvert ; Q4 mentioned planned migrations and AI‐powered migration efforts ; Q3 had no explicit mention. | Q2 emphasizes the large on‐premise migration market opportunity, invests in migration technology, and highlights visibility into migration-driven consumption trends | Clear continuity with an increasing focus on migration as a sustainable growth lever, with greater emphasis on technology investment and market potential in Q2 |
Strategic Cloud Partnerships and Global Market Expansion | Q4 highlighted expanded Microsoft partnerships (integration of OpenAI models, Cortex Agents in Microsoft 365 and Teams) and a global BUILD summit ; Q3 mentioned collaborations with AWS, Microsoft, and ServiceNow as well as expansion into Europe and APJ. | Q2 places focus on Microsoft Azure’s rapid 40% YoY growth, strong collaboration across infrastructure and end‑user products, plus replicating U.S. success in EMEA and APJ | Strengthening and broadening the cloud partnership approach, with renewed focus on Azure and global expansion strategies reinforcing an already diversified multi-cloud strategy |
Customer Acquisition Strategy and Dependency on Large Deals | Q1 noted strong new logo growth (451 net new customers) and major financial services deals (two $100M+ contracts) ; Q4 emphasized building sales “muscle” and planning around large deals ; Q3 highlighted shifting focus to new workloads and maintaining large deal volume. | Q2 continues to report increased net new customers (21% YoY growth) and significant progress with large accounts (record of 50 customers crossing $1M TTM and a large Global 2000 mix) | A consistent and balanced focus on acquiring new customers while leveraging large deals, with ongoing adjustments in sales compensation and expansion strategies |
Sales and Marketing Investment and Evolving Cost Management | Q1 (significant hiring, revised sales compensation with bookings quotas and improved operating/free cash flow margins ); Q4 emphasized focused investments in go‑to‑market operations and operational efficiencies to boost margins ; Q3 highlighted continued cost efficiency measures using AI and streamlined management. | Q2 continues strong hiring (heavy sales and marketing headcount increases, with 529 new hires and specific investments in productivity) and reports 11% non‑GAAP operating margin while maintaining cost discipline | Sustained aggressive investment in sales and marketing combined with evolving cost management practices that drive improved margins and operational efficiency, with a continued leverage of AI for productivity |
Increasing Product Complexity and Portfolio Management Challenges | Q4 had indirect references via the challenge of integrating multiple innovative products and managing broad AI/ML offerings ; Q3 and Q1 did not explicitly discuss these challenges. | Q2 shows no direct mention of product complexity or portfolio management challenges. | This topic is not emphasized in Q2; earlier indirect mentions suggest that innovation continues but explicit complexity challenges have been de‑prioritized or integrated into overall product strategy |
-
Growth Durability
Q: Is growth sustainable post-migration?
A: Management emphasized that modernizing legacy data is just the start—migrating to an AI-ready platform drives durable, expanding consumption, underpinning sustainable long-term growth. -
Net Revenue Retention
Q: Will NRR stay robust moving forward?
A: They highlighted an impressive 125% net revenue retention, driven by strong core consumption from existing customers and new workloads, reinforcing revenue resilience. -
Competitive Landscape
Q: How does Snowflake stand against rivals?
A: Management reiterated that Snowflake’s unified, trusted AI data platform delivers simplicity and secure data access, keeping it ahead in an increasingly competitive market. -
AI Monetization
Q: How will AI adoption convert to revenue?
A: They explained that AI features were integrated naturally into the platform with a modest sales effort—revenue is recognized only once clear value is realized, linking usage directly to monetization. -
Core Market Sustainability
Q: Is the traditional data warehouse market strong?
A: Management affirmed that, despite growing AI initiatives, the core cloud data warehouse remains a robust growth driver thanks to ongoing migration of legacy systems and continuous product innovation. -
AI Product Trend
Q: Are new AI products boosting growth?
A: They noted that about 25% of new use cases this quarter involved AI, with new products catalyzing incremental value alongside strong core analytics consumption. -
Azure Growth
Q: How did Azure performance compare?
A: Management pointed out that customers on Azure experienced 40% year-over-year growth, thanks to improved field alignment and increasing traction in EMEA markets. -
Sales Hiring Impact
Q: What effect will increased sales hires have?
A: While the ramp in sales and marketing headcount is significant, management expects enhanced pipeline productivity and continued revenue strength without compromising fundamentals. -
Large Customer Mix
Q: What mix is seen among $1M+ customers?
A: They mentioned that roughly 50% of the $1M+ customers are Global 2000 companies, demonstrating strong penetration in large enterprise segments. -
Cortex AI Use Cases
Q: What are the key Cortex AI applications?
A: Cortex AI is being used to consolidate and deliver complete customer insights for functions like finance and HR, enabling faster, informed decision-making. -
Crunchy Integration
Q: How is the Crunchy (Postgres) integration progressing?
A: Management confirmed that the integration into Snowflake Postgres is progressing well, bringing enterprise-grade Postgres capabilities with a preview launch expected soon. -
Migration Volume Forecast
Q: Are migration volumes set to increase?
A: They expect more workload migrations to go live in the near term, as large customers continue transitioning legacy systems to the cloud. -
Professional Services
Q: What spurred the uptick in professional services?
A: A milestone from one large customer boosted professional services revenue this quarter, though the underlying service growth remains normal. -
European Growth
Q: How is Europe contributing overall?
A: While still in a development phase, Europe is beginning to replicate the success seen in the U.S., with groundwork enabling future growth. -
Frontier Models
Q: Are frontier AI models converging in performance?
A: Management observed that, contrary to plateau claims, continuous improvements in model performance are fueling broader and deeper enterprise applications. -
Spark Integration
Q: How is support for Spark evolving?
A: By leveraging the familiar Spark APIs through Snowpark Connect, Snowflake delivers improved performance and cost benefits while simplifying migration for Spark workloads.
Research analysts covering Snowflake.