Snowflake Stock Surges 22% on Strong AI Earnings Beat and Raised Revenue Guidance

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Snowflake reported second-quarter revenue of $1.55 billion, beating analyst estimates, as AI demand fueled 37% product revenue growth. The company raised its full-year forecast to $6.07 billion, up from $5.84 billion, while its AI coding agent CoCo now serves 9,100 accounts. However, CFO Brian Robins revealed that AI workloads carry lower product gross margins.

Snowflake Reports Strong Q2 Results Driven by AI Demand

Snowflake delivered a decisive earnings beat for its fiscal 2027 second quarter ended July 31, reporting revenue of $1.55 billion against analyst estimates of $1.48 billion

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. The cloud data platform company posted adjusted earnings per share of 62 cents, significantly exceeding the 45-cent consensus

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. Product revenue climbed 37% year-over-year to $1.49 billion, marking the company's third consecutive quarter of accelerating growth

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. Snowflake stock surged more than 22% in extended trading, positioning shares for their fourth-highest jump since the company's 2020 public debut

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Annual Product Revenue Forecast Raised to $6.07 Billion

Snowflake raised its full-year product revenue forecast to $6.07 billion from the previous $5.84 billion projection issued in May

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. For the fiscal third quarter, the company expects product revenue between $1.588 billion and $1.593 billion, representing up to 38% growth and exceeding the $1.50 billion consensus

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. CFO Brian Robins attributed the upward revision to "continued strength in our core data platform business and a meaningful step up in AI revenue"

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. The company also improved its adjusted operating margin guidance from 13.5% to 14.5% for the fiscal year

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AI Coding Agent CoCo Drives Customer Momentum

Snowflake's AI coding agent CoCo, previously known as Cortex Code, now serves 9,100 accounts, adding over 2,000 during the quarter

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. CEO Sridhar Ramaswamy emphasized that "AI continues to compound our advantages, creating a flywheel effect across the business"

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. The company added 692 new customers during Q2, including 14 from the Global 2000, bringing its total customer count to 14,554, a 32% year-over-year increase

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. Among these, 828 customers generate trailing 12-month product revenue exceeding $1 million, while 65 surpass $10 million

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Source: CXOToday

Source: CXOToday

Enterprise AI Revolution Positions Snowflake at the Center

Ramaswamy described the current shift as "a once-in-a-lifetime technology shift" with Snowflake "at the center of the enterprise AI revolution"

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. He stated that organizations must become agentic enterprises "quickly, safely and cost-efficiently," noting that "the agentic enterprise runs on Snowflake"

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. The platform enables this transformation through a governed data foundation, access to leading AI models, deep application workflows, and a unifying agentic control plane. Snowflake's AI offerings include both CoCo for coding and data tasks, and CoWork, an enterprise chatbot previously called Snowflake Intelligence

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AI Workloads Carry Lower Product Gross Margins

CFO Brian Robins disclosed that AI-driven revenue growth comes with a trade-off: lower product gross margins. Snowflake revised its expected non-GAAP product gross margin for the fiscal year to 74%, down from previous projections

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. "This revised outlook includes a higher revenue mix from fast-growing AI workloads, which carry a lower contribution margin," Robins explained

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. Despite this pressure, overall profitability improved with non-GAAP operating margin expanding more than 400 basis points year-over-year to 15%

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. The company offset growing cloud costs through cost discipline, adding just 334 employees year-to-date compared to 935 in the same period last year

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Strategic Infrastructure Partnership With AWS

Last quarter, Snowflake signed a five-year, $6 billion deal with Amazon Web Services to use AWS' Graviton processors and AI infrastructure

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. This expanded partnership underscores Snowflake's commitment to scaling its cloud data platform capabilities. Businesses leverage Snowflake's platform to store and analyze information while building applications and AI products

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. The company has benefited from legacy-system migrations and AI adoption as organizations seek to modernize their data infrastructure

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Source: Benzinga

Source: Benzinga

What This Means for Investors and the Market

Snowflake stock closed Wednesday at $305.84 before surging 23.14% in after-hours trading to $376.60

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. Year-to-date through Wednesday's close, shares were up nearly 40%

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. The strong revenue guidance and customer momentum signal sustained AI demand in the enterprise sector, though investors should monitor how margin compression from AI workloads affects long-term profitability. Ramaswamy's assertion that "customers using AI on Snowflake consume more across the data platform, creating a structural multiplier for our business" suggests AI serves as both a growth driver and platform expansion mechanism

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. Watch for how competitors respond to Snowflake's AI-first positioning and whether margin pressures persist as AI revenue mix increases.

Source: CRN

Source: CRN

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