Total customers

Total Customers

Forbes Global 2000 Customers

Revenue segments as reported by the company.

Americas

EMEA

Asia-Pacific and Japan

United States

Other

Revenue Segments

Gross Profit, Operating Income, and Net Income as a percentage of Revenue

Gross Margin

Operating Margin

Profit Margin

Margins

An operating expense is an expense a business incurs through its normal business operations. Often abbreviated as OPEX.

Sales and marketing

Research and development

General and administrative

Operating Expenses

Year over year growth in Revenue and Operating Expenses.

Revenue Y/Y

OpEx Y/Y

Growth

Shares outstanding refer to a company's stock currently held by all its shareholders, including share blocks held by institutional investors and restricted shares owned by the company's officers and insiders.

Outstanding Shares

Market Cap

Also known as Price/Sales Ratio. Calculated using Average market cap for the quarter / Annualized quarterly revenue.

Revenue Multiple

Snowflake

Snowflake, Inc. provides cloud data warehousing software. This includes the Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from rapidly growing data sets in secure, governed, and compliant ways. Its platform supports a range of use cases, including data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The cloud-native architecture consists of three independently scalable layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases without latency. The cloud services layer optimizes each use case's performance requirements with no administration. Snowflake was founded by Marcin Zukowski, Thierry Cruanes and Benoit Dageville on July 23, 2012 and is headquartered in Bozeman, MT.

Earnings data Q1 2022

Earnings data Q2 2022

Earnings data Q3 2022

Earnings data Q4 2022

Earnings data Q1 2023

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Earnings data Q3 2023

Earnings data Q4 2023

Earnings data Q1 2024

Earnings data Q2 2024

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Earnings data Q1 2025

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Earnings data Q4 2025

Snowflake reports robust Q1 performance, eyes AI disruption in supply chain

Snowflake's Q1 earnings call showcased strong financial performance, with a focus on AI and machine learning workloads, supply chain management, and competitive advantages. However, challenges in consumption patterns and cost scrutiny were discussed, alongside opportunities in disruptive AI technologies and long-term growth prospects.

Snowflake reports strong Q2 results, faces challenges in sales execution

Snowflake's Q2 performance was strong, but challenges exist in maintaining product revenue growth and improving sales execution. The company's focus on AI, data sharing, and new product offerings presents opportunities for future growth.

Snowflake reports robust Q3 performance and eyes AI opportunities

Snowflake's Q3 FY 2024 performance reflects strong growth in product revenue and non-GAAP adjusted free cash flow. The company's introduction of new technologies and strong customer engagement through events like the Data Cloud World Tour and the Build Developer Conference are notable. However, challenges in product gross margins and the evolving sales approach require attention. Snowflake is well-positioned to capitalize on the increasing interest in AI and the demand for advanced data solutions in large enterprises.

Snowflake reports strong Q4 growth, eyes international expansion and product innovation

Snowflake's Q4 performance reflects robust growth in product revenue, margins, and customer adoption, positioning the company well for future expansion.
While facing challenges in customer ramp-up and international performance, Snowflake's strategic strengths in partnerships, acquisitions, and financial stability provide a solid foundation for growth.
Opportunities lie in product innovation, market expansion, and operational efficiencies, signaling a positive outlook for Snowflake's continued success in the cloud data industry.
By balancing growth initiatives with cost management strategies, Snowflake aims to achieve its long-term revenue targets and enhance shareholder value through prudent investments and customer-centric focus.

Snowflake reports robust Q1 growth, eyes AI expansion and supply chain dominance

Snowflake's Q1 performance reflects strong growth in product revenue and a focus on AI-powered data solutions. Despite challenges in demand environment and consumption slowdowns, the company remains optimistic about long-term growth prospects. Snowflake's strategic acquisitions and focus on efficient growth position it well for future opportunities in AI and data management.

Snowflake reports robust Q2 growth, eyes AI strategy and partnerships

Snowflake's Q2 performance reflects strong revenue growth, customer engagement, and financial health.
Strategic strengths in AI focus, partnerships, and customer alignment position Snowflake for continued growth.
Challenges in consumption growth and sales execution optimization require attention for sustained success.
Opportunities lie in workforce expansion, data strategy enhancement, and leveraging Container Services for future growth.

Snowflake reports robust Q3 results, eyes AI opportunities and partnerships

Snowflake delivered strong Q3 performance with notable revenue growth, margin improvement, and customer acquisition, supported by innovative product introductions.
While facing challenges in legacy optimizations and NRR stabilization, Snowflake is well-positioned to leverage opportunities in AI, partnerships, and market expansion.
The company's strategic focus on sales specialization, technology advancements, and customer growth underscores its resilience and potential for sustained success.
Snowflake's market engagement, product innovation, and financial discipline position it favorably for continued growth and leadership in the cloud data platform space.

Snowflake reports robust Q4 earnings, eyes AI growth opportunities

Snowflake's Q4 FY '24 earnings call highlighted strong financial performance, innovative product offerings, and positive customer feedback, positioning the company for continued growth.
While facing challenges in consumption trends and revenue guidance, Snowflake's focus on AI initiatives and product enhancements presents opportunities for future expansion and market leadership.
With a new CEO, Sridhar Ramaswamy, at the helm and a clear long-term strategy, Snowflake aims to navigate market challenges and capitalize on its strengths to drive sustained growth and customer value.

Snowflake reports robust Q1 performance, eyes AI innovation for growth

Snowflake's Q1 performance reflects strong revenue growth and financial stability, supported by AI innovation and strategic partnerships.
Challenges include sustaining revenue growth, customer adoption of AI products, and effectively monetizing data through new features.
Opportunities in leveraging Iceberg capability, collaborations with Microsoft, and AI applications position Snowflake for continued growth and innovation.

Snowflake surpasses Q2 expectations, expands product portfolio for growth

Snowflake delivered exceptional financial results, exceeding expectations and demonstrating strong growth across key metrics. With a focus on innovation and customer satisfaction, Snowflake is well-positioned to capitalize on market opportunities and drive continued success. While facing competition and cybersecurity challenges, Snowflake's strategic initiatives and expanding product offerings bode well for future growth.

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Snowflake, Inc. engages in the provision of cloud data warehousing software. The firm offers Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from data. Its platform supports a range of use cases including data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The cloud-native architecture consists of layers across storage, compute, and cloud services. The storage layer ingests structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to access common data sets for many use cases without latency. The cloud services layer optimizes each use case's performance requirements with no administration. The company was founded by Marcin Zukowski, Thierry Cruanes, and Benoit Dageville on July 23, 2012 and is headquartered in Bozeman, MT.

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Snowflake Inc. (SNOW) concluded the recent trading session at $114.82, signifying a +1.94% move from its prior day's close.

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New Integration Bridges Gap Between Developer and Security Teams, Advancing Developer Security Initiatives with Data-Driven Insights New Integration Bridges Gap Between Developer and Security Teams, Advancing Developer Security Initiatives with Data-Driven Insights

Snyk Announces Integration of Application Security Analytics with Snowflake AI Data Cloud

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Snowflake (SNOW) Slips 39% YTD: Is a Rebound on the Horizon?

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In the latest trading session, Snowflake Inc. (SNOW) closed at $129.57, marking a +0.44% move from the previous day.

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No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)-- #snowflakesummit--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it will release its financial results for the second quarter of fiscal year 2025, which ends July 31, 2024, following the close of the U.S. markets on Wednesday, August 21, 2024. Snowflake will host a conference call to discuss the financial results. Conference Call Details The conference call will begin at 3 p.m. Mountain Time on August 21, 2024. Investors and participants may at.

Snowflake to Announce Financial Results for the Second Quarter of Fiscal 2025 on August 21, 2024

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No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)-- #TheDataCloud--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that it will host the Llama 3.1 collection of multilingual open source large language models (LLMs) in Snowflake Cortex AI for enterprises to easily harness and build powerful AI applications at scale. This offering includes Meta's largest and most powerful open source LLM, Llama 3.1 405B, with Snowflake developing and open sourcing the inference system stack to enable real-time,.

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Although Snowflake's revenue growth and net retention rate have moderated, this is an expected trend for a company with an expanding revenue base. The company's Cortex AI is seeing robust demand from clients needing AI-enhanced data solutions.

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Snowflake is one of the few tech stocks still trading around all time lows. Snowflake saw 33% YoY revenue growth in the most recent quarter, with a decelerating yet still incredible 128% net revenue retention rate. The stock looks attractive even without an acceleration in top-line growth.

News for Snowflake Stock (SNOW)