Snowflake Inc. (SNOW)

ITEM 2. 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 (1) our unaudited condensed consolidated financial statements and related notes appearing elsewhere in this Quarterly Report on Form 10-Q, and (2) our audited consolidated financial statements and the related notes and the discussion under the heading “Management’s Discussion and Analysis of Financial Condition and Results of Operations” for the fiscal year ended January 31, 2026 included in the Annual Report on Form 10-K filed with the U.S. Securities and Exchange Commission (SEC) on March 20, 2026. 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 Quarterly Report on Form 10-Q. You should review the disclosure under the heading “Risk Factors” in this Quarterly Report on Form 10-Q 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 unaudited condensed 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.

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 55 regional deployments around the world. These deployments are generally interconnected to deliver the AI Data Cloud, enabling a consistent, global user experience.

40

Table of Contents

We generate the substantial majority of our revenue from fees charged to our customers based on the compute, storage, and data transfer resources consumed on our platform. Customers are allowed to select compute, storage, and data transfer resources separately, at their discretion. For compute resources, consumption is based on the type of compute resource used and the duration of use or, for some features, the volume of data processed. For storage resources, consumption for a given customer is based on the average terabytes per month of all of such customer’s data stored in our platform. For data transfer resources, consumption is based on terabytes of data transferred, the public cloud provider used, and the region to and from which the transfer is executed.

Our customers typically enter into capacity arrangements with a term of one to four years, or consume our platform under on-demand arrangements in which we charge for use of our platform monthly in arrears. Consumption for most customers accelerates from the beginning of their usage to the end of their contract terms and often exceeds their initial capacity commitment amounts. When this occurs, our customers have the option to amend their existing agreement with us to purchase additional capacity or request early renewals. When a customer’s consumption during the contract term does not exceed its capacity commitment amount, it may have the option to roll over any unused capacity to future periods, generally upon the purchase of additional capacity. For these reasons, we believe our deferred revenue is not a meaningful indicator of future revenue that will be recognized in any given time period.

Our go-to-market strategy is focused on acquiring new customers and driving increased use of our platform for existing customers. We primarily focus our selling efforts on large organizations and primarily sell our platform through a direct sales force, which targets technical and business leaders who are adopting a cloud strategy and leveraging data to improve their business performance. In addition to direct sales, we also sell our platform through resellers and distributors. Our sales force is comprised of inside and field sales, solution engineering, sales development, partner sales, and specialist sales personnel and is segmented by the industry, size, and region of prospective customers. Once our platform has been adopted, we focus on increasing the migration of additional customer workloads to our platform to drive increased consumption, as evidenced by our net revenue retention rate of 126% and 125% as of April 30, 2026 and January 31, 2026, respectively. See the section titled “Key Business Metrics” for a definition of net revenue retention rate.

Our platform is used globally by organizations of all sizes across a broad range of industries. As of April 30, 2026, we had 13,912 total customers, increasing from 13,296 customers as of January 31, 2026. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our total customer count for historical periods reflecting these adjustments. Our platform has been adopted by many of the world’s largest organizations that view Snowflake as a key strategic partner in their cloud and data transformation initiatives. As of April 30, 2026, our customers included 813 of the Forbes Global 2000, based on the 2025 Forbes Global 2000 list, and those customers contributed approximately 43% of our revenue for the three months ended April 30, 2026. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the Global 2000 list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments. See the section titled “Key Business Metrics” for how we determine our customer count.

Fiscal Year

Our fiscal year ends on January 31. For example, references to fiscal 2027 refer to the fiscal year ending January 31, 2027.

Impact of Macroeconomic Conditions

Our business and financial condition have been, and may continue to be, impacted by adverse macroeconomic conditions, including inflation, high interest rates, fluctuations or volatility in capital markets, energy markets, or foreign currency exchange rates, tariffs and trade wars, and geopolitical and military conflicts. These conditions have caused, and may continue to cause, customers to rationalize budgets, prioritize cash flow management, including through shortened contract duration, and optimize consumption, including by reducing storage through shorter data retention policies. We are continuing to monitor the actual and potential effects of general macroeconomic conditions across our business. For additional details, see the section titled “Risk Factors.”

41

Table of Contents

Business Combination

On February 2, 2026, we acquired all of the outstanding capital stock of Observe, Inc. (Observe), a privately-held company that built an AI-powered observability platform. The preliminary purchase consideration was $595.8 million, which was comprised primarily of $285.7 million in cash and approximately 1.5 million shares of our common stock valued at $285.3 million as of the acquisition date.

The results of operations of this business combination have been included in our condensed consolidated financial statements from the date of acquisition. See Note 7, “Business Combinations,” to our condensed consolidated financial statements included elsewhere in this Quarterly Report on Form 10-Q for details regarding this business combination.

Key Factors Affecting Our Performance

Adoption of our Platform and Expansion of the AI Data Cloud

Our future success depends in large part on the market adoption of our platform, including new product functionality, such as Snowpark and our AI and machine learning technology (collectively, AI Technology). While we see growing demand for our platform, particularly from large enterprises, many of these organizations have invested substantial technical, financial, and personnel resources in their existing database products or big data offerings. In addition, customers’ use of our AI Technology is often dependent on their ability to meet evolving regulatory standards, successfully complete internal compliance reviews, and enter into mutually acceptable contractual terms. While this makes it difficult to predict customer adoption rates and future demand, we believe that the benefits of our platform put us in a strong position to capture the significant market opportunity ahead.

Our platform powers the AI Data Cloud, a network of data providers, data consumers, and data application developers that enables our customers to securely share, monetize, and acquire live data sets and data products. The AI Data Cloud includes access to the Snowflake Marketplace, through which customers can access or acquire third-party data sets, data applications, and other data products. Our future growth is in

[Excerpt truncated for page length; source filing is linked above.]

ITEM 7. 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. These deployments are generally interconnected to deliver the AI Data Cloud, enabling a consistent, global user experience.

59

Table of Contents

We generate the substantial majority of our revenue from fees charged to our customers based on the compute, storage, and data transfer resources consumed on our platform. Customers are allowed to select compute, storage, and data transfer resources separately, at their discretion. For compute resources, consumption is based on the type of compute resource used and the duration of use or, for some features, the volume of data processed. For storage resources, consumption for a given customer is based on the average terabytes per month of all of such customer’s data stored in our platform. For data transfer resources, consumption is based on terabytes of data transferred, the public cloud provider used, and the region to and from which the transfer is executed.

Our customers typically enter into capacity arrangements with a term of one to four years, or consume our platform under on-demand arrangements in which we charge for use of our platform monthly in arrears. Consumption for most customers accelerates from the beginning of their usage to the end of their contract terms and often exceeds their initial capacity commitment amounts. When this occurs, our customers have the option to amend their existing agreement with us to purchase additional capacity or request early renewals. When a customer’s consumption during the contract term does not exceed its capacity commitment amount, it may have the option to roll over any unused capacity to future periods, generally upon the purchase of additional capacity. For these reasons, we believe our deferred revenue is not a meaningful indicator of future revenue that will be recognized in any given time period.

Our go-to-market strategy is focused on acquiring new customers and driving increased use of our platform for existing customers. We primarily focus our selling efforts on large organizations and primarily sell our platform through a direct sales force, which targets technical and business leaders who are adopting a cloud strategy and leveraging data to improve their business performance. In addition to direct sales, we also sell our platform through resellers and distributors. Our sales force is comprised of inside and field sales, solution engineering, sales development, partner sales, and specialist sales personnel and is segmented by the industry, size, and region of prospective customers. Once our platform has been adopted, we focus on increasing the migration of additional customer workloads to our platform to drive increased consumption, as evidenced by our net revenue retention rate of 125% and 126% as of January 31, 2026 and 2025, respectively. See the section titled “Key Business Metrics” for a definition of net revenue retention rate.

Our platform is used globally by organizations of all sizes across a broad range of industries. As of January 31, 2026, we had 13,328 total customers, increasing from 10,996 customers as of January 31, 2025. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our total customer count for historical periods reflecting these adjustments. Our platform has been adopted by many of the world’s largest organizations that view Snowflake as a key strategic partner in their cloud and data transformation initiatives. As of January 31, 2026, our customers included 790 of the Forbes Global 2000, based on the 2025 Forbes Global 2000 list, and those customers contributed approximately 43% of our revenue for the fiscal year ended January 31, 2026. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the Global 2000 list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments. See the section titled “Key Business Metrics” for how we determine our customer count.

Fiscal Year

Our fiscal year ends on January 31. For example, references to fiscal 2026 refer to the fiscal year ended January 31, 2026.

60

Table of Contents

Impact of Macroeconomic Conditions

Our business and financial condition have been, and may continue to be, impacted by adverse macroeconomic conditions, including inflation, high interest rates, fluctuations or volatility in capital markets or foreign currency exchange rates, tariffs and trade wars, and geopolitical and military conflicts. These conditions have caused, and may continue to cause, customers to rationalize budgets, prioritize cash flow management, including through shortened contract duration, and optimize consumption, including by reducing storage through shorter data retention policies. We are continuing to monitor the actual and potential effects of general macroeconomic conditions across our business. For additional details, see the section titled “Risk Factors.”

Common Stock

On July 3, 2025, we filed an amended and restated certificate of incorporation with the Secretary of State of the State of Delaware effecting (i) the elimination of our Class B common stock, and (ii) the renaming of our Class A common stock to “common stock”. This amendment had no impact on our issued and outstanding shares, additional paid-in capital, or accumulated deficit.

Business Combinations

On June 6, 2025, we acquired all of the outstanding capital stock of Crunchy Data Solutions, Inc. (Crunchy Data), a privately-held company that provided PostgreSQL technology, for $164.5 million in cash. The results of operations of this business combination have been included in our consolidated financial statements from the date of acquisition.

On February 2, 2026, we acquired all the outstanding capital stock of Observe, Inc. (Observe), a privately-held company that built an AI-powered observability platform. The preliminary purchase consideration was approximately $596.2 million, which was comprised primarily of $286.2 million in cash and approximately 1.5 million shares of our common stock valued at $285.3 million as of the acquisition date.

See Note 7, “Business Combinations,” and Note 16, “Subsequent Events,” to our consolidated financial statements included elsewhere in this Annual Report on Form 10-K for details regarding these business combinations.

Key Factors Affecting Our Performance

Adoption of our Platform and Expansion of the AI Data Cloud

Our future success depends in large part on the market adoption of our platform, including new product functionality, such as Snowpark and our AI and machine learning technology (collectively, AI Technology). While we see growing demand for our platform, particularly from large enterprises, many of these organizations have invested substantial technical, financial, and personnel resources in their existing database products or big data offerings. In addition, customers’ use of our AI Technology is often dependent on their ability

[Excerpt truncated for page length; the complete text is on the linked full-MD&A page.]