Snowflake Inc - Class A NYSE:SNOW Price, Chart, News & Insight

NYSE:SNOW

Snowflake Shares Surge 21% After Blowout Q2 Results, Raised Guidance

Shares of Snowflake (NYSE: SNOW) jumped 21% Wednesday after the AI Data Cloud company posted second-quarter fiscal 2027 results that beat expectations and raised its full-year outlook, sending a strong signal about enterprise demand for its AI-driven data platform.

The company, which reported results after markets closed Wednesday, posted total revenue of $1.55 billion for the quarter ended July 31, up 35% year-over-year. Product revenue — Snowflake's core growth metric — came in at $1.49 billion, up 37% year-over-year and marking the company's third consecutive quarter of accelerating product revenue growth.

Strong Retention and Customer Growth

Snowflake's net revenue retention rate stood at 126%, indicating existing customers are meaningfully expanding their spending on the platform. The company added 692 net new customers during the quarter, up 32% year-over-year, including 14 new Forbes Global 2000 customers, bringing its total Forbes Global 2000 customer base to 829. The number of customers generating more than $1 million in trailing 12-month product revenue climbed to 828, up 27% year-over-year.

Remaining performance obligations — a measure of contracted future revenue — reached $9.00 billion, up 30% year-over-year, pointing to a healthy sales pipeline heading into the back half of the fiscal year.

AI Products Driving the Acceleration

CEO Sridhar Ramaswamy credited the company's AI initiatives for fueling the growth, pointing to strong adoption of Snowflake's CoWork and CoCo products. CoCo surpassed 9,100 accounts during the quarter, adding more than 2,000 new accounts alone, while CoWork grew to 5,800 accounts. The company also launched Cortex Sense and Cortex AI Gateway, new tools aimed at extending AI capabilities from insight generation into direct action.

Notable customer wins during the quarter included 1Password and Indeed, while data intelligence firm Sayari said it cut costs by more than half using CoCo to migrate 12 billion records onto the platform.

Raised Guidance Fuels the Rally

CFO Brian Robins said the company is raising its full-year product revenue growth guidance to 36% year-over-year, up from prior guidance of 31%. For the full fiscal year, Snowflake now expects product revenue of $6.07 billion, up from a previous forecast of $5.84 billion. The company also lifted its non-GAAP operating margin guidance to 14.5% from 13.5%.

For the third quarter, Snowflake guided for product revenue between $1.588 billion and $1.593 billion, representing 37% to 38% year-over-year growth, alongside a non-GAAP operating margin target of 15.5%.

Robins emphasized that the company delivered accelerating growth while simultaneously expanding operating margin, calling the balance between growth and profitability "a top priority" going forward.

The results appear to have resolved lingering investor questions about whether Snowflake's AI-related products could translate into durable revenue growth, with today's rally suggesting the market is rewarding both the acceleration in product revenue and the improved profitability outlook.

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European Investor 09-03-26

Snowflake Rises 4.3% as Barclays Sets $332 Price Target

Snowflake (NYSE: SNOW) shares rose about 4.3% on Thursday after Barclays set a $332 price target on the cloud data and artificial intelligence company.

Barclays analyst Raimo Lenschow issued the $332 target, compared with the $328.83 share price. The target sits only slightly above the current price, suggesting Barclays sees Snowflake trading relatively close to its assessed valuation.

AI and Cloud Data Strength Support Snowflake

Snowflake occupies a strategically important position at the intersection of cloud computing, enterprise data and artificial intelligence. Its platform allows organizations to consolidate, process and analyze large datasets across multiple cloud environments.

That data layer has become increasingly important with the rapid adoption of generative and agentic AI. Enterprises need large quantities of well-organized and governed proprietary data to develop AI applications, potentially increasing demand for platforms that can manage and analyze that information at scale.

Snowflake therefore offers investors exposure to AI infrastructure through the data side of the technology stack rather than through semiconductor hardware.

Why SNOW Stock Is Rising

The 4.3% gain appears to be supported by the new Barclays analyst coverage and continued investor enthusiasm around Snowflake's position in cloud data and AI.

However, the $332 price target is only about 1% above the $328.83 share price shown in the report. That means the target itself implies limited additional upside following the stock's advance.

The positive market reaction may therefore reflect broader confidence in Snowflake's AI and cloud-data positioning alongside the new analyst coverage rather than the price target alone.

Snowflake remains one of the more direct software beneficiaries of growing enterprise AI adoption because AI applications depend heavily on access to high-quality corporate data. The company's ability to translate that strategic position into sustained revenue growth and stronger profitability will remain central to the investment case.

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WS Investor 08-27-26

Snowflake Expands Cortex AI With Dynamic Model Routing to Cut Enterprise AI Costs

Snowflake (NYSE: SNOW) announced new artificial intelligence capabilities on Tuesday aimed at helping enterprises reduce the cost of deploying AI applications and agents at scale.

The company is introducing dynamic model routing within Cortex AI Gateway, allowing AI workloads to be automatically directed to different models based on factors including quality, speed, customer preferences and cost. Snowflake is also expanding its model portfolio with DeepSeek-V4-Flash 0731 and GLM-5.3.

Dynamic Routing Targets Rising AI Inference Costs

Instead of using an expensive frontier AI model for every request, Cortex AI Gateway can determine which model provides an appropriate balance between performance and cost. Simpler or repetitive workloads can be routed toward more efficient models, while tasks requiring deeper reasoning can be directed toward frontier models.

The capability will be integrated with Snowflake's flagship AI products, including Snowflake CoCo and Snowflake CoWork, and will also be available to third-party AI agents connected through Cortex AI Gateway.

The strategy addresses an increasingly important issue for enterprises adopting generative and agentic AI: inference costs can rise rapidly as AI workloads move from experimentation into large-scale production.

Snowflake said internal testing showed meaningful efficiency improvements. In one evaluation, agents using dynamic model routing to build a dbt pipeline achieved as much as 3x greater token efficiency than a frontier-model-only approach while maintaining comparable quality. Another test showed engineering teams completing the same number of pull requests with 25% greater token efficiency.

Snowflake Expands Open AI Model Options

Snowflake is also adding DeepSeek-V4-Flash 0731 and GLM-5.3 to its AI ecosystem, expanding a model portfolio that already includes models from providers such as Anthropic, OpenAI, Google, SpaceXAI, Meta and Mistral.

Snowflake's own testing highlights the potential economics behind the strategy. DeepSeek-V4-Flash scored 74.4% on data-engineering tasks in the company's evaluation, outperforming the proprietary models included in that test, while GLM-5.2 scored 62.8% and consumed fewer tokens than any other model evaluated.

The company is pairing broader model access with tools allowing enterprises to monitor token usage and costs, allocate AI spending across teams, establish quotas and spending limits, and control which models employees and AI agents can access.

For Snowflake, the initiative strengthens its position at the intersection of enterprise data infrastructure and AI. Rather than competing solely through access to individual AI models, Snowflake is positioning Cortex AI Gateway as an orchestration and governance layer that can determine which model should handle each workload while keeping enterprise data within Snowflake's governed environment.

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European Investor 08-18-26

Snowflake Stock Slips 1% Premarket Despite Jefferies Reiterating Buy Rating

Snowflake (NYSE: SNOW) shares fell about 1% in premarket trading Monday even as Jefferies reiterated its Buy rating on the cloud data and artificial intelligence company.

According to the rating report, Jefferies analyst Brent Thill maintained a Buy rating on Snowflake and set a $385 price target. The target represents roughly 19% upside from the $326 share price.

The bullish stance reflects Snowflake’s strong position in the rapidly expanding enterprise AI and cloud data market. The company has been benefiting from rising AI-related workloads as businesses increasingly consolidate data and deploy generative and agentic AI applications through cloud platforms. Recent integrations with Alteryx and OptionMetrics have further expanded the capabilities available through Snowflake’s AI Data Cloud ecosystem.

Snowflake’s fundamentals have also remained strong. In its latest reported quarter, revenue rose 33% year-over-year to $1.39 billion, while the company raised its full-year product revenue outlook amid strong demand for its core platform and AI services.

The roughly 1% premarket decline appears modest in comparison with Snowflake’s recent strength, with the stock having reached a new 52-week high last week. Investors will next focus on Snowflake’s fiscal second-quarter results, scheduled for September 2, for further evidence that AI-driven demand can sustain the company’s elevated growth trajectory.

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Global Finance News 08-17-26

Snowflake Stock Rises 5.2% After Wells Fargo Reiterates Overweight Rating

Snowflake (NYSE: SNOW) shares rose 5.2% on Wednesday after Wells Fargo reiterated its **Overweight** rating on the cloud data platform provider, reinforcing confidence in the company's long-term growth prospects.

The reaffirmed bullish rating comes as investor sentiment toward AI infrastructure and enterprise software companies continues to improve. Although Wells Fargo did not announce a new price target in the update, maintaining an Overweight rating signals the firm expects Snowflake to outperform its peers over the coming months.

Snowflake remains one of the leading beneficiaries of growing enterprise investment in artificial intelligence, cloud computing, and data analytics. Demand for the company's cloud-native data platform continues to be supported by organizations increasing AI workloads and expanding data-driven applications.

The stock's advance also reflects improving sentiment across the software sector, with investors favoring companies that are well positioned to monetize the accelerating adoption of generative AI and enterprise data platforms.

By reiterating its bullish stance, Wells Fargo signals continued confidence in Snowflake's ability to sustain strong product innovation, customer expansion, and long-term revenue growth despite an increasingly competitive cloud software landscape.

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The Investor 07-29-26

Snowflake Inc. announced it will host its largest-ever user conference, Snowflake Summit 26, from June 1–4 in San Francisco, focusing on the transition of artificial intelligence from experimentation to real-world business applications. The event is expected to gather over 20,000 attendees and feature more than 500 sessions and 200 partners showcasing enterprise AI deployments.

Key highlights include a keynote discussion between Snowflake CEO Sridhar Ramaswamy and Anthropic co-founder Daniela Amodei, alongside presentations from major organizations such as Accenture, Sanofi, and Thomson Reuters. The conference will also introduce new AI-driven innovations, hands-on labs, and industry-specific sessions aimed at demonstrating how companies are scaling AI solutions using Snowflake’s platform.

Source: Snowflake

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Global Finance News 04-24-26

Snowflake announced major enhancements to its AI platform, expanding Snowflake Intelligence and Cortex Code to position itself as the “control plane” for enterprise AI. The updates aim to help organizations move from AI experimentation to real-world deployment by integrating data, tools, and workflows into a unified system.

Snowflake Intelligence now acts as a personalized AI agent for business users, capable of automating tasks, generating insights, and interacting across enterprise systems such as Slack, Salesforce, and Google Workspace. It can also perform multi-step analysis and deliver contextual, data-driven recommendations.

Meanwhile, Cortex Code expands AI-powered development capabilities, enabling engineers to build, deploy, and manage AI applications across multiple data environments, including external platforms like AWS and Databricks. The tool also integrates with development environments and supports scalable enterprise deployment.

Snowflake said adoption of its AI tools continues to grow, with over 9,100 customers using its AI products weekly, as companies increasingly embed AI into core business operations.
Business Wire

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European Investor 04-21-26

Snowflake announced the launch of Project SnowWork, a new autonomous enterprise AI platform designed to help business users execute complex workflows and accelerate productivity through agentic AI . The platform enables users to complete multi-step tasks—such as generating reports, analyzing data, or building presentations—through simple conversational prompts.

Currently in research preview, Project SnowWork integrates directly with Snowflake’s governed data environment, allowing secure orchestration of data, AI, and enterprise systems. It can plan and execute workflows end-to-end, transforming insights into actionable outcomes without requiring technical expertise.

The launch reflects Snowflake’s broader strategy to evolve from a data platform into a system of action, embedding AI-driven automation into everyday business processes and advancing the concept of the “agentic enterprise.”
Business Wire

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Global Finance News 03-19-26

Snowflake Inc. announced that Cortex Code CLI, its AI coding agent, is expanding beyond Snowflake-native workflows to support external data systems, starting with dbt and Apache Airflow.

The update enables developers to use Snowflake’s context-aware AI assistant directly within popular data engineering environments, helping build, debug and optimize pipelines across multi-system stacks. New features include expanded AI model choice, enhanced governance controls and enterprise-grade security.

Snowflake is also introducing a standalone monthly subscription for Cortex Code CLI, allowing teams not yet running on Snowflake to access the tool independently of Snowflake compute, lowering adoption barriers.

Source: Business Wire

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The Investor 02-23-26

United Rentals has deployed a new Business Intelligence Agent built on Snowflake to support frontline teams across more than 1,600 branches with faster, data-driven decision-making. The AI-powered agent allows branch managers, sales leaders and regional teams to query financial and operational data in natural language and receive real-time, governed insights, improving speed, consistency and confidence in daily decisions.

The solution is built on Snowflake Intelligence and uses United Rentals’ unified, secure data foundation, ensuring answers are consistent, explainable and aligned with company-defined metrics and access controls. In parallel, United Rentals is using Snowflake Cortex Code to accelerate the development and testing of additional AI agents for use cases such as equipment health and telematics, shortening the path from prototype to production. The initiative highlights how large, geographically distributed industrial organizations can embed trusted AI directly into frontline operations.

Source: Snowflake Inc., Business Wire, February 4, 2026.

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WS Investor 02-06-26

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