SNOWFLAKE INC. (SNOW)

Business overview

BUSINESS We believe that a cloud computing platform that puts data and artificial intelligence (AI) at its core will offer great benefits to organizations by allowing them to realize the value of the data that powers their businesses. By offering rich primitives for data and applications, we believe that we can create a data connected world where organizations have seamless access to explore, share, and unlock the value of data. Our vision is a world where data and AI turn possibilities into reality. To realize this vision, we deliver the AI Data Cloud, a network where Snowflake customers, partners, developers, data providers, and data consumers can break down data silos and derive value from a growing number of data sets in secure, governed, and compliant ways.

Our platform is the innovative technology that powers the AI Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful insights, apply AI to solve business problems, build data applications, and share data and data products. We provide our platform through a customer-centric, consumption-based business model. Snowflake solves the decades-old problem of data silos and data governance. Leveraging the elasticity and performance of the public cloud, our platform enables customers to unify and query data to support a wide variety of use cases. It also provides frictionless and governed data access so users can securely share data inside and outside of their organizations, generally without copying or moving the underlying data.

As a result, customers can blend existing data with new data for broader context, augment data science efforts, and create new monetization streams. Delivered as a service, our platform requires near-zero infrastructure maintenance, enabling customers to focus on deriving value from their data rather than managing infrastructure. Our cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. Within the compute layer, users can clean and prepare their data, including any required metadata and business semantics, to create governed, unified data records that are AI ready and are written back to the storage layer.

The cloud services layer enables users to securely use AI within applications, tools, and processes. This architecture is built on three major public clouds across 53 regional deployments around the world. These deployments are generally interconnected to deliver the AI Data Cloud, enabling a consistent, global user experience. Our platform supports a wide range of product categories that enable our customers’ most important business objectives, including analytics, data engineering, AI, and applications and collaboration. We are committed to expanding our platform’s product features and use cases and supporting developers in building their applications and businesses. Many of our product features help power multiple product categories.

In 2021, we launched Snowpark for Java and Scala to allow developers to build in the language of their choice, and in 2022 we added support for Python. Snowpark brings the power of Python and Java to our platform and complements many use cases for our customers across several product categories, including data engineering and AI. In 2023, we launched Snowpark Container Services, a fully managed container platform designed to facilitate the deployment, management, and scaling of containerized applications and AI models within our ecosystem. Snowpark Container Services are used in several of our product categories, including AI and applications. In 2024 and 2025, we announced and then launched Snowflake Intelligence within our AI product category, to enable our customers to create data agents, empowering business users to take actions on structured and unstructured data without the need for technical knowledge or coding skills.

In 2025 and 2026, we announced and then launched Snowflake Postgres within our new transactions product category, a fully managed Postgres offering that enables customers to consolidate application and analytical data onto a single platform and build context-aware AI agents, deliver rich personalization and run powerful low latency analytics. We continue to invest in our Native Application program to help companies build, operate, and market applications in the AI Data Cloud by supporting developers across all stages of the application journey. We have an industry-vertical focus, which allows us to go to market with tailored business solutions. […]

Management discussion and analysis

MANAGEMENT’S DISCUSSION AND ANALYSIS OF FINANCIAL CONDITION AND RESULTS OF OPERATIONS The following discussion and analysis of our financial condition and results of operations should be read in conjunction with our consolidated financial statements and related notes appearing elsewhere in this Annual Report on Form 10-K. This discussion, particularly information with respect to our future results of operations or financial condition, business strategy and plans, and objectives of management for future operations, includes forward-looking statements that involve risks and uncertainties as described under the heading “Special Note About Forward-Looking Statements” in this Annual Report on Form 10-K. You should review the disclosure under the heading “Risk Factors” in this Annual Report on Form 10-K for a discussion of important factors that could cause our actual results to differ materially from those anticipated in these forward-looking statements.

In addition to our results determined in accordance with U. S. generally accepted accounting principles (GAAP), free cash flow, a non-GAAP financial measure, is included in the section titled “Key Business Metrics.” This non-GAAP financial measure is not meant to be considered in isolation or as a substitute for, or superior to, comparable GAAP financial measures and should be read only in conjunction with our consolidated financial statements prepared in accordance with GAAP. Our presentation of this non-GAAP financial measure may not be comparable to similar measures used by other companies. We encourage investors to carefully consider our results under GAAP, as well as our supplemental non-GAAP information and the GAAP-to-non-GAAP reconciliation included in the section titled “Key Business Metrics—Free Cash Flow,” to more fully understand our business.

Unless the context otherwise requires, all references in this report to “Snowflake,” the “Company,” “we,” “our,” “us,” or similar terms refer to Snowflake Inc. and its consolidated subsidiaries. Unless otherwise noted, all references in this report to our common stock refer to our Class A common stock, which was renamed to “common stock” pursuant to our amended and restated certificate of incorporation filed with the Secretary of State of the State of Delaware on July 3, 2025. A discussion regarding our financial condition and results of operations for the fiscal year ended January 31, 2026 compared to the fiscal year ended January 31, 2025 is presented below.

A discussion regarding our financial condition and results of operations for the fiscal year ended January 31, 2025 compared to the fiscal year ended January 31, 2024 can be found in “Management's Discussion and Analysis of Financial Condition and Results of Operations” in Part II, Item 7 of our Annual Report on Form 10-K for the fiscal year ended January 31, 2025 filed with the SEC on March 21, 2025. Overview We believe that a cloud computing platform that puts data and artificial intelligence (AI) at its core will offer great benefits to organizations by allowing them to realize the value of the data that powers their businesses. By offering rich primitives for data and applications, we believe that we can create a data connected world where organizations have seamless access to explore, share, and unlock the value of data.

Our vision is a world where data and AI turn possibilities into reality. To realize this vision, we deliver the AI Data Cloud, a network where Snowflake customers, partners, developers, data providers, and data consumers can break down data silos and derive value from a growing number of data sets in secure, governed, and compliant ways. Our platform is the innovative technology that powers the AI Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful insights, apply AI to solve business problems, build data applications, and share data and data products. We provide our platform through a customer-centric, consumption-based business model. Our cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services.

The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. Within the compute layer, users can clean and prepare their data, including any required metadata and business semantics, to create governed, unified data records that are AI ready and are written back to the storage layer. The cloud services layer enables users to securely use AI within applications, tools, and processes. This architecture is built on three major public clouds across 53 regional deployments around the world. […]

Key risk disclosures

RISK FACTORS Our operations and financial results are subject to various risks and uncertainties, including those described below. You should consider and read carefully all of the risks and uncertainties described below, together with all of the other information contained in this Annual Report on Form 10-K, including the sections titled “Special Note about Forward-Looking Statements” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations” and our consolidated financial statements and related notes, before making an investment decision. The risks described below are not the only ones we face. The occurrence of any of the following risks or additional risks and uncertainties not presently known to us or that we currently believe to be immaterial could materially and adversely affect our business, financial condition, results of operations, or growth prospects.

In such case, the trading price of our common stock could decline. You should not interpret our disclosure of any of the following risks to imply that such risks have not already materialized. Risks Related to Our Business and Operations We have experienced rapid revenue growth and have a limited operating history, both of which make it difficult to forecast our future results of operations. Our revenue was $4. 7 billion, $3. 6 billion, and $2.

8 billion for the fiscal years ended January 31, 2026, 2025, and 2024, respectively. As a result of our historical rapid growth, limited operating history, large number of new product features, including those incorporating artificial intelligence (AI) and machine learning technology (collectively, AI Technology), and unstable macroeconomic conditions, our ability to accurately forecast our future results of operations, including revenue, gross margin, remaining performance obligations (RPO), and the percentage of RPO we expect to recognize as revenue in future periods, is limited and subject to a number of uncertainties, including our ability to plan for and model future growth and platform consumption. Our historical revenue growth should not be considered indicative of our future performance.

Further, our revenue growth could slow or our revenue could decline for a number of reasons, including increased competition; changes to technology, such as changes in software or underlying cloud infrastructure or the increasing prominence of new technology like AI; reputational harm; changes in macroeconomic conditions; and reduced demand for our platform. For example, customers may continue to optimize consumption, rationalize budgets, and prioritize cash flow management, including by reducing storage through shorter data retention policies and shortening committed contract durations. As a result of the foregoing and our rapid revenue growth in prior periods, our revenue growth rate has slowed in recent periods. Any further declines in our revenue growth rate could adversely affect investors’ perceptions of our business, and negatively impact the trading price of our common stock.

Our revenue growth is also dependent on our ability to increase our penetration into existing markets, and to successfully enter and grow new markets, including highly-regulated markets such as financial services, healthcare, and the public sector. Sales to highly-regulated entities are subject to substantial additional costs and risks that are not present in sales to other customers, which are described below in the risk factor titled “ We do business with federal, state, local, and foreign governments and agencies, and heavily regulated organizations; as a result, we face heightened risks related to special contract terms, non-standard product deployments, supply chain restrictions, and compliance with additional processes, rules, and regulations. ” We have also encountered, and will continue to encounter, risks and uncertainties frequently experienced by growing companies in rapidly changing industries, such as the risks and uncertainties described below.

If our assumptions regarding these risks and uncertainties and our future revenue growth are incorrect or change, or if we do not address these risks successfully, our operating and financial results could differ materially from our expectations, and our business could suffer. 20 We may not have visibility into our future financial position and results of operations. Customers generally consume our platform by using compute, storage, and/or data transfer resources. Unlike a subscription-based business model, in which revenue is recognized ratably over the term of the subscription, we generally recognize revenue on consumption. Because our customers have flexibility in the timing of their consumption, we do not have the visibility into the timing of revenue recognition that a typical subscription-based software company has. […]

Source and methodology

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