Snowflake Inc. (SNOW) — Agentic Tribune

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. For example, we have launched the AI Data Cloud for Financial Services, Advertising, Media and Entertainment, Retail & Consumer Goods, Healthcare & Life Sciences, Manufacturing, Technology, Telecom, Travel & Hospitality, and the Public Sector. Each of these brings together Snowflake’s platform capabilities with industry-specific partner solutions and datasets to drive business growth and deliver improved experiences and insights.

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Our business benefits from powerful network effects. The AI Data Cloud will continue to grow as organizations move their siloed data from cloud-based repositories and on-premises data centers to the AI Data Cloud. The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers, enhancing the value of our platform for all users. We believe this network effect will help us drive our vision of the AI Data Cloud.

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. 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. As our customers experience the benefits of our platform, they typically expand their usage significantly, as evidenced by our net revenue retention rate, which was 125% as of January 31, 2026. The number of customers that contributed more than $1 million in trailing 12-month product revenue increased from 576 to 733 as of January 31, 2025 and 2026, respectively. See the section titled “Management’s Discussion and Analysis of Financial Condition and Results of Operations” for how we determine our customer count.

For the fiscal years ended January 31, 2026, 2025, and 2024, our revenue was $4.7 billion, $3.6 billion, and $2.8 billion, respectively, representing year-over-year growth of 29% in each period. Our net loss was $1.3 billion, $1.3 billion, and $838.0 million for the fiscal years ended January 31, 2026, 2025, and 2024, respectively.

The Rise of the AI Data Cloud

Data exists everywhere, but is often held hostage in silos by machines, applications, networks, and clouds. To access the value of this data, organizations are undergoing massive digital transformation initiatives, and data is driving operations for many modern enterprises. In an effort to mobilize data, companies have invested billions of dollars in disparate on-premises systems, infrastructure clouds, and application clouds. Yet, there are a myriad of challenges associated with legacy data solutions and the data silo problem persists.

We believe the AI Data Cloud can enable a world without data silos, allowing organizations to effortlessly discover, access, derive insights from, and share data from a variety of sources. Customers can share and provide access to each other’s data or data products, build and deploy AI applications and experiences, augment data science and machine learning (ML) algorithms with more data sets, connect global supply chains through data hubs, build data and AI products, and create new monetization channels by connecting data providers and consumers. As the AI Data Cloud grows through broad adoption and increasing usage, there are enhanced benefits from greater data availability. Moving forward, we are continuing to foster these benefits through industry-specific AI Data Clouds and the Native Application Framework.

Our Solution

Our platform is built on a cloud-native architecture that leverages the massive scalability and performance of the public cloud. Our platform allows customers to consolidate data into a single source of truth, whether stored in Snowflake or connected from external storage like Apache Iceberg tables, to drive meaningful insights, power applications, and share data across regions and public clouds. Key elements of our platform include:

•Diverse data types. Our platform integrates and optimizes structured, semi-structured, and unstructured data, while maintaining performance and flexibility.

•Massive scalability of data volumes. Our platform leverages the scalability and performance of the public cloud to support growing data sets without sacrificing performance.

•Multiple use cases and users simultaneously. Our platform makes compute resources dynamically available to address the demand of as many users and use cases as needed. Because the storage layer is independent of compute, the data is centralized and simultaneously accessible by many users without compromising performance or data integrity.

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•Optimized price-performance. Our platform uses advanced optimizations to efficiently access only the data required to deliver the desired results. It delivers speed without the need for tuning or the expense of manually organizing data prior to use. Organizations can adjust their consumption to precisely match their needs, always optimizing for price-performance.

•Easy to use. Our platform can be up and running in seconds and is priced based on a consumption-based business model, reducing hidden costs and helping ensure that customers pay only for what they use. Snowpark, our developer framework, allows developers to interact with Snowflake through various popular programming languages, including Python. This, combined with our familiar SQL-based programming model and query language, provides choice for organizations without governance tradeoffs and saves time and costs to learn new skills or hire specialized analysts or data scientists.

•Delivered as a service with no overhead. Our platform is delivered as a service, eliminating the cost, time, and resources associated with managing underlying infrastructure. We deliver automated platform updates regularly with minimal planned downtime, eliminating expensive and time-consuming version and patch management. This gives customers the ability to consume more data at a lower total cost of ownership compared with other solutions.

•Multi-cloud and multi-region. Our platform is available on three major public clouds across 53 regional deployments around the world. These deployments are generally interconnected to provide a global and consistent user experience.

•Seamless and secure collaboration. Our platform enables governed and secure sharing of live data within an organization and externally across customers and partners, generally without copying or moving the underlying data. When sharing data across regions and public clouds, our platform allows customers to easily replicate data and maintain a single source of truth. Our platform also enables organizations to securely share and monetize data products.

Key Benefits to Our Customers

Our platform enables customers to:

•Transform into data-driven businesses. Our platform connects data silos, empowers secure and governed access to data, and removes data management and infrastructure complexities. This enables organizations to drive greater insights, improve products and services, and pursue new business opportunities.

•Consolidate data into a single, analytics- and AI-ready source of truth. Our platform simplifies our customers’ data infrastructure by centralizing data in an analytics- and AI-ready format. As a result, organizations are able to deliver secure, fast, and accurate decision making. It also simplifies governance and minimizes the errors, complexity, and costs associated with managing data silos.

•Increase agility, augment insights, and create new monetization streams through seamless collaboration. Our platform allows customers to seamlessly share and consume live data across their organizations, and with their partners, customers, and suppliers, without moving the underlying data. Our platform also allows customers to unlock previously untapped monetization streams through creating and sharing data applications and data products. Customers can also leverage the Snowflake Marketplace, which provides access to hundreds of live, ready-to-query third-party data sets and data products across a wide range of categories. Through collaborating within and outside of their ecosystems, our customers are able to enhance insights and better reach, engage, and retain their end customers.

•Benefit from a global multi-cloud strategy. Our platform delivers a consistent product experience across connected regions and public clouds. With a global multi-cloud strategy, organizations can optimize for the best features and functionality each public cloud provides, without becoming overly reliant on a single public cloud provider. Our customers can optimize their cloud costs, seamlessly migrate data among connected public clouds without having to alter existing security policies, and implement regional strategies, including to meet regulatory and data sovereignty requirements.

•Reduce time spent managing infrastructure. Because we deliver our platform as a service, our customers can focus on driving immediate value from their data and not on managing complex and expensive infrastructure.

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•Enable greater data access through enhanced data governance. Security and governance, including the encryption of customer data at rest and in transit to and from our platform, are part of our core design values. This provides customers with the confidence to share their data inside their organizations, as well as with their partners, customers, and suppliers, to unlock new insights and build new applications.

Our Growth Strategies

We intend to invest in our business to advance the AI Data Cloud through customers’ adoption of our platform. Our growth strategies include:

•Innovate and advance our platform.

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Financial statements

data from SEC XBRL filings. Values are as-reported; restatements supersede originals.

From 10-K filed 2026-03-20 (period ending 2026-01-31).

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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

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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.

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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 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 increasingly dependent on our ability to increase consumption of our platform by building and expanding the AI Data Cloud.

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Expanding Within our Existing Customer Base

Our large base of customers represents a significant opportunity for further consumption of our platform. While we have seen an increase in the number of customers that have contributed more than $1 million in product revenue in the trailing 12 months, we believe that there is a substantial opportunity to continue growing these customers further, as well as continuing to expand the usage of our platform within our other existing customers. We plan to continue investing to encourage increased consumption and adoption of new use cases among our existing customers, particularly large enterprises.

Once deployed, our customers often expand their use of our platform more broadly within the enterprise and across their ecosystem of customers and partners as they migrate more data to the public cloud, identify new use cases, and realize the benefits of our platform and the AI Data Cloud. However, because we generally recognize product revenue on consumption and not ratably over the term of the contract, we do not have visibility into the timing of revenue recognition from any particular customer. In addition, many customers are attempting to rationalize budgets, prioritize cash flow management, and optimize consumption amidst macroeconomic uncertainty. In any given period, there is a risk that customer consumption of our platform will be slower than we expect, which may cause fluctuations in our revenue and results of operations.

New software releases or hardware improvements, like better storage compression, cloud infrastructure processor improvements, and compute optimization, may make our platform more efficient, enabling customers to consume fewer compute, storage, and data transfer resources to accomplish the same workloads. In addition, open data formats allow customers to use our platform for compute services without requiring storage. To the extent these improvements do not result in an offsetting increase in new workloads, we may experience lower revenue. Our ability to increase usage of our platform by, and sell additional contracted capacity to, existing customers, and, in particular, large enterprise customers, will depend on a number of factors, including our customers’ satisfaction with our platform, our customers’ adoption and use of new product features, competition, pricing, macroeconomic conditions, overall changes in our customers’ spending levels, customers’ attempts to optimize their consumption, our customers’ confidence in the security of our platform, our ability to maintain our reputation as a trustworthy vendor, the effectiveness of our and our partners’ efforts to help our customers realize the benefits of our platform, and the extent to which customers migrate new workloads to our platform over time, including data science, AI, and machine learning workloads.

Acquiring New Customers

Our future success also depends on our ability to acquire new customers. We believe there is a substantial opportunity to further grow our customer base by continuing to make significant investments in sales and marketing and brand awareness. Our ability to attract new customers will depend on a number of factors, including the productivity of our sales organization, competitive dynamics in our target markets, changes in our customers’ spending and platform consumption in response to market uncertainty, our ability to promote, maintain, and enhance our brand and reputation, our ability to mitigate reputational damage following cybersecurity threat activity directed at our customers, our ability to build and maintain partner relationships, including with global system integrators, resellers, technology partners, and third-party providers of native applications on the Snowflake Marketplace, and our ability to meet the heightened needs of customers in regulated markets, such as the public sector, financial services, and countries with data localization requirements. While our platform is built for organizations of all sizes, we focus our selling efforts on large enterprise customers, customers with vast amounts of data, and customers requiring industry-specific solutions. We may not achieve anticipated revenue growth if we are unable to attract, hire, develop, integrate, and retain talented and effective sales personnel; if our sales personnel are unable to achieve desired productivity levels in a reasonable period of time and maintain productivity; or if our sales and marketing programs are not effective.

Investing in Growth and Scaling our Business

We are focused on our long-term revenue potential, and believe our market opportunity is large. We will continue to invest significantly in research and development to improve our platform, including in the areas of data science and AI Technology. In addition, we are focused on expanding our business both domestically and internationally. As part of these efforts, we are investing in meeting the needs of organizations in geographies and government and regulated industries that have heightened requirements, including with respect to data localization, privacy, and security. We intend to continue to invest heavily to grow our business to take advantage of our expansive market opportunity, while also focusing on cash flow and long-term profitability.

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Key Business Metrics

We monitor the key business metrics set forth below to help us evaluate our business and growth trends, establish budgets, measure the effectiveness of our sales and marketing efforts, and assess operational efficiencies. The calculation of the key business metrics discussed below may differ from other similarly titled metrics used by other companies, securities analysts, or investors.

The following tables present a summary of key business metrics, including the most directly comparable financial measure calculated in accordance with GAAP, for the periods presented:

	Fiscal Year Ended January 31,
	2026		2025		2024
Product revenue (in millions)	$	4,472.3	$	3,462.4	$	2,666.8
Net cash provided by operating activities (in millions)(1)	$	1,221.9	$	959.8	$	848.1
Free cash flow (non-GAAP) (in millions)(2)(3)	$	1,120.3	$	884.1	$	778.9

	January 31, 2026			January 31, 2025			January 31, 2024
Net revenue retention rate(4)	125		%	126		%	133		%
Customers with trailing 12-month product revenue greater than $1 million(4)	733			576			449
Forbes Global 2000 customers(4)	790			750			716
Remaining performance obligations (in millions)(5)	$	9,771.5		$	6,867.5		$	5,174.7

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(1)Net cash provided by operating activities is not a key business metric but is included in this table as the most directly comparable GAAP financial measure to free cash flow.

(2)Free cash flow for the fiscal years ended January 31, 2026, 2025, and 2024 included the effect of $72.4 million, $57.5 million, and $31.3 million, respectively, in the net cash paid on payroll tax-related items on employee stock transactions. See the section titled “Free Cash Flow” for a reconciliation of net cash provided by operating activities, which is the most directly comparable financial measure calculated in accordance with GAAP, to free cash flow.

(3)Cash outflows for employee payroll tax items related to the net share settlement of equity awards, which were $672.9 million, $489.1 million, and $380.8 million for the fiscal years ended January 31, 2026, 2025, and 2024, respectively, are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow.

(4)Historical numbers for (i) net revenue retention rate, (ii) customers with trailing 12-month product revenue greater than $1 million, and (iii) Forbes Global 2000 customers reflect any adjustments for acquisitions, consolidations, spin-offs, and other market activity. In addition, our Forbes Global 2000 customer count reflects adjustments for annual updates to the Forbes Global 2000 list by Forbes.

(5)As of January 31, 2026, our remaining performance obligations were approximately $9.8 billion, of which we expect approximately 46% to be recognized as revenue in the 12 months ending January 31, 2027 based on historical customer consumption patterns. The weighted-average remaining life of our capacity contracts was 2.7 years as of January 31, 2026. However, the amount and timing of revenue recognition are generally dependent upon customers’ future consumption, which is inherently variable at our customers’ discretion and can extend beyond the original contract term in cases where customers are permitted to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. In addition, our historical customer consumption patterns are not necessarily indicative of future results.

Product Revenue

Product revenue is a key metric for us because we recognize revenue based on platform consumption, which is inherently variable at our customers’ discretion, and not based on the amount and duration of contract terms. Product revenue is primarily derived from the consumption of compute, storage, and data transfer resources by customers on our platform. Customers have the flexibility to consume more than their contracted capacity during the contract term and may have the ability to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Our consumption-based business model distinguishes us from subscription-based software companies that generally recognize revenue ratably over the contract term and may not permit rollover. Because customers have flexibility in the timing of their consumption, which can exceed their contracted capacity or extend beyond the original contract term in many cases, the amount of product revenue recognized in a given period is an important indicator of customer satisfaction and the value derived from our platform. While customer use of our platform in any period is not necessarily indicative of future use, we estimate future revenue using predictive models based on customers’ historical usage to plan and determine financial forecasts. Product revenue excludes our professional services and other revenue, which has been less than 10% of revenue for each of the periods presented.

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Net Revenue Retention Rate

We believe the growth in use of our platform by our existing customers is an important measure of the health of our business and our future growth prospects. We monitor our dollar-based net revenue retention rate to measure this growth. To calculate this metric, we first specify a measurement period consisting of the trailing two years from our current period end. Next, we define as our measurement cohort the population of customers under capacity contracts that used our platform at any point in the first month of the first year of the measurement period. The cohorts used to calculate net revenue retention rate include end-customers under a reseller arrangement. We then calculate our net revenue retention rate as the quotient obtained by dividing our product revenue from this cohort in the second year of the measurement period by our product revenue from this cohort in the first year of the measurement period. Any customer in the cohort that did not use our platform in the second year remains in the calculation and contributes zero product revenue in the second year. Our net revenue retention rate is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our net revenue retention rate for historical periods reflecting these adjustments. Since we will continue to attribute the historical product revenue to the consolidated contract, consolidation of capacity contracts within a customer’s organization typically will not impact our net revenue retention rate unless one of those customers was not a customer at any point in the first month of the first year of the measurement period. We expect our net revenue retention rate to decrease over the long-term as customers that have consumed our platform for an extended period of time become a larger portion of both our overall customer base and our product revenue that we use to calculate net revenue retention rate, and as their consumption growth primarily relates to existing use cases rather than new use cases. In addition, we have seen, and may continue to see, impacts on customer consumption patterns due to holidays and certain of our customers increasing their consumption of our platform at a slower pace than expected, which may negatively impact our net revenue retention rate in future periods.

Customers with Trailing 12-Month Product Revenue Greater than $1 Million

Large customer relationships lead to scale and operating leverage in our business model. Compared with smaller customers, large customers present a greater opportunity for us to sell additional capacity because they have larger budgets, a wider range of potential use cases, and greater potential for migrating new workloads to our platform over time. As a measure of our ability to scale with our customers and attract large enterprises to our platform, we count the number of customers under capacity arrangements that contributed more than $1 million in product revenue in the trailing 12 months. For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. We do not include customers that consume our platform only under on-demand arrangements for purposes of determining our customer count. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our customer count for historical periods reflecting these adjustments.

Forbes Global 2000 Customers

We believe that the number of Forbes Global 2000 customers is an important indicator of the growth of our business and future revenue trends as we focus our selling efforts on large enterprise customers and customers with vast amounts of data. Our Forbes Global 2000 customer count is a subset of our customer count based on the 2025 Forbes Global 2000 list. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the 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.

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Free Cash Flow

We define free cash flow, a non-GAAP financial measure, as GAAP net cash provided by operating activities reduced by purchases of property and equipment and capitalized software development costs. Cash outflows for employee payroll tax items related to the net share settlement of equity awards are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow. We believe information regarding free cash flow provides useful supplemental information to investors because it is an indicator of the strength and performance of our core business operations.

The following table presents a reconciliation of net cash provided by operating activities, which is the most directly comparable financial measure calculated in accordance with GAAP, to free cash flow for the periods presented (in millions):

	Fiscal Year Ended January 31,
	2026		2025		2024
Net cash provided by operating activities	$	1,221.9	$	959.8	$	848.1
Less: purchases of property and equipment	(101.6)		(46.3)		(35.1)
Less: capitalized software development costs	—		(29.4)		(34.1)
Free cash flow (non-GAAP)(1)(2)	$	1,120.3	$	884.1	$	778.9
Net cash provided by investing activities	$	312.2	$	190.6	$	832.3
Net cash used in financing activities	$	(1,385.4)	$	(226.5)	$	(854.1)

________________

(1)Free cash flow for the fiscal years ended January 31, 2026, 2025, and 2024 included the effect of $72.4 million, $57.5 million, and $31.3 million, respectively, in the net cash paid on payroll tax-related items on employee stock transactions.

(2)Cash outflows for employee payroll tax items related to the net share settlement of equity awards, which were $672.9 million, $489.1 million, and $380.8 million for the fiscal years ended January 31, 2026, 2025, and 2024, respectively, are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow.

Historically, we have received a higher volume of orders from new and existing customers in the fourth fiscal quarter of each year. As a result, we have historically seen higher free cash flow in the first and fourth fiscal quarters of each year.

Remaining Performance Obligations

Remaining performance obligations (RPO) represent the amount of contracted future revenue that has not yet been recognized, including (i) deferred revenue and (ii) non-cancelable contracted amounts that will be invoiced and recognized as revenue in future periods. RPO excludes performance obligations from on-demand arrangements and certain time and materials contracts that are billed in arrears. Portions of RPO that are not yet invoiced and are denominated in foreign currencies are revalued into U.S. dollars each period based on the applicable period-end exchange rates. RPO is not necessarily indicative of future product revenue growth because it does not account for the timing of customers’ consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by a number of factors, including the timing and size of renewals, the timing and size of purchases of additional capacity, average contract terms, seasonality, changes in foreign currency exchange rates, and the extent to which customers are permitted to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Due to these factors, it is important to review RPO in conjunction with product revenue and other financial metrics disclosed elsewhere herein.

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Components of Results of Operations

Revenue

We deliver our platform over the internet as a service. Customers choose to consume our platform under either capacity arrangements, in which they commit to a certain amount of consumption at specified prices, or under on-demand arrangements, in which we charge for use of our platform monthly in arrears. Under capacity arrangements, from which a majority of our revenue is derived, we typically bill our customers annually in advance of their consumption. However, in future periods, we expect to see an increase in capacity contracts providing for quarterly upfront billings and monthly in arrears billings as our customers increasingly want to align consumption and timing of payments. Revenue from on-demand arrangements typically relates to customers with lower usage levels or overage consumption beyond a customer’s contracted usage amount under a capacity contract or following the expiration of a customer’s capacity contract. We recognize revenue as customers consume compute, storage, and data transfer resources under either of these arrangements. Revenue from on-demand arrangements represented approximately 1%, 2%, and 3% of our revenue for the fiscal years ended January 31, 2026, 2025, and 2024, respectively.

Our customer contracts for capacity typically have a term of one to four years. The weighted-average term of capacity contracts entered into during the fiscal year ended January 31, 2026 is approximately 3.1 years. To the extent our customers enter into such contracts and either consume our platform in excess of their capacity commitments or continue to use our platform after expiration of the contract term, they are charged for their incremental consumption. In many cases, our customer contracts permit customers to roll over any unused capacity to a subsequent order, generally upon the purchase of additional capacity. For those customers who do not have a capacity arrangement, our on-demand arrangements generally have a monthly stated contract term and can be terminated at any time by either the customer or us.

Because customers have flexibility in their consumption, and we generally recognize revenue on consumption and not ratably over the term of the contract, we do not have the visibility into the timing of revenue recognition from any particular customer contract that typical subscription-based software companies may have. As our customer base grows, we expect our ability to forecast customer consumption in the aggregate to improve. However, in any given period, there is a risk that customers will consume our platform more slowly than we expect, including in response to adverse macroeconomic conditions, which may cause fluctuations in our revenue and results of operations.

Our revenue also includes professional services and other revenue, which consists primarily of consulting, technical solution services, and training related to our platform. Our professional services revenue is recognized over time based on input measures, including time and materials costs incurred relative to total costs, with consideration given to output measures, such as contract deliverables, when applicable. Other revenue consists primarily of fees from customer training delivered on-site or through publicly available classes.

Allocation of Overhead Costs

Overhead costs that are not substantially dedicated for use by a specific functional group are allocated based on headcount. Such costs include costs associated with office facilities, depreciation of property and equipment, information technology (IT) and general recruiting related expenses and other expenses, such as software and subscription services.

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Cost of Revenue

Cost of revenue consists of cost of product revenue and cost of professional services and other revenue. Cost of revenue also includes allocated overhead costs.

Cost of product revenue. Cost of product revenue consists primarily of (i) third-party cloud infrastructure expenses, including those related to graphics processing units (GPUs) and AI inference, incurred in connection with our customers’ use of our platform and the deployment and maintenance of our platform on public clouds, including different regional deployments, and (ii) personnel-related costs associated with customer support and maintaining service availability and security of our platform, including salaries, benefits, bonuses, and stock-based compensation. Cost of product revenue also includes amortization of capitalized software development costs, amortization of acquired intangible assets, and expenses associated with software and subscription services dedicated for use by our customer support team and our engineering team responsible for maintaining our platform.

Cost of professional services and other revenue. Cost of professional services and other revenue consists primarily of personnel-related costs associated with our professional services and training departments, including salaries, benefits, bonuses, and stock-based compensation, amortization of acquired intangible assets, and costs of contracted third-party partners and software tools.

We intend to continue to invest additional resources in our platform infrastructure and our customer support and professional services organizations to support the growth of our business. Some of these investments, including costs associated with GPUs and AI inference, certain support costs and costs of expanding our business internationally, are incurred in advance of generating revenue, and either the failure to generate anticipated revenue or fluctuations in the timing of revenue could affect our gross margin from period to period.

Operating Expenses

Our operating expenses consist of sales and marketing, research and development, and general and administrative expenses. Personnel costs are the most significant component of operating expenses and consist of salaries, benefits, bonuses, stock-based compensation, and sales commissions. Operating expenses also include allocated overhead costs.

Sales and Marketing

Sales and marketing expenses consist primarily of personnel-related expenses associated with our sales and marketing staff, including salaries, benefits, bonuses, and stock-based compensation. Sales and marketing expenses also include sales commissions and draws paid to our sales force and certain referral fees paid to third parties, including amortization of deferred commissions. A portion of the sales commissions paid to the sales force is earned based on the level of the customers’ consumption of our platform, and a portion of the commissions paid to the sales force is earned upon the origination, expansion, or renewal of customer contracts. Sales commissions tied to customers’ consumption are expensed in the same period as they are earned. Sales commissions and referral fees earned upon the origination or expansion of customer contracts that are not commensurate with those earned upon the renewal of contracts are capitalized and then amortized over a period of benefit that we determined to be five years. Sales commissions earned upon the renewal of customer contracts, as well as sales commissions earned upon the origination or expansion of customer contracts that are commensurate with those for renewal contracts, are capitalized and then amortized over the respective weighted-average contractual term of the related contracts. Sales and marketing expenses also include advertising costs and other expenses associated with our sales, marketing and business development programs, including our user conferences, offset by proceeds from such conferences and programs. In addition, sales and marketing expenses are comprised of travel-related expenses, software and subscription services dedicated for use by our sales and marketing organizations, amortization of acquired intangible assets, and outside services contracted for sales and marketing purposes. We expect that our sales and marketing expenses will increase in absolute dollars and continue to be our largest operating expense for the foreseeable future as we grow our business. However, we expect that our sales and marketing expenses will decrease as a percentage of our revenue over time due to improved spend efficiency, although the percentage may fluctuate from period to period depending on the timing and the extent of these expenses.

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Research and Development

Research and development expenses consist primarily of personnel-related expenses associated with our research and development staff, including salaries, benefits, bonuses, and stock-based compensation. Research and development expenses also include contractor or professional services fees, third-party cloud infrastructure expenses incurred in developing our platform (including those related to GPUs to develop AI Technology), amortization of acquired intangible assets, and expenses associated with software and subscription services dedicated for use by our research and development organization. Prior to fiscal 2026, research and development expenses related to our cloud platform that qualified as internal-use software development costs were capitalized under Accounting Standards Codification (ASC) Topic 350-40, Internal-use Software (ASC 350-40). During fiscal 2026, we began marketing the Snowflake platform to selected public sector customers who will have contractual rights to take possession of our software and who will contract with third parties to host our software. As a result, our ongoing and future software development costs related to the Snowflake platform must be accounted for under ASC 985-20, Costs of Software to be Sold, Leased or Marketed (ASC 985-20). Costs that meet the criteria for capitalization under ASC 985-20 were not material for the fiscal year ended January 31, 2026. Software development costs capitalized prior to fiscal 2026 in connection with the Snowflake platform will be amortized over their remaining useful life and recognized as cost of product revenue. See Note 2, “Basis of Presentation and Summary of Significant Accounting Policies,” to our consolidated financial statements included elsewhere in this Annual Report on Form 10-K for further details. We expect that our research and development expenses will increase in absolute dollars due to business growth, continued investments in our platform, and a decrease in the amount of software development costs eligible for capitalization. However, we expect that our research and development expenses will decrease as a percentage of our revenue over time due to improved spend efficiency, although the percentage may fluctuate from period to period depending on the timing and the extent of these expenses.

General and Administrative

General and administrative expenses consist primarily of personnel-related expenses for our finance, legal, human resources, facilities, and administrative personnel, including salaries, benefits, bonuses, and stock-based compensation. General and administrative expenses also include external legal, accounting, and other professional services fees, software and subscription services dedicated for use by our general and administrative functions, insurance, unallocated lease costs associated with unused office facilities to accommodate planned headcount growth, and other corporate expenses. We expect that our general and administrative expenses will increase in absolute dollars as our business grows but will decrease as a percentage of our revenue over time due to improved spend efficiency, although the percentage may fluctuate from period to period depending on the timing and the extent of these expenses. In addition, during the fiscal year ended January 31, 2026, we recognized asset impairment charges of $108.7 million as general and administrative expenses, primarily relating to the cease-use of our San Mateo office facility. See Note 11, “Commitments and Contingencies,” to our consolidated financial statements included elsewhere in this Annual Report on Form 10-K for further details.

Interest Income

Interest income consists primarily of interest income earned on our cash and cash equivalents and short-term and long-term investments, including amortization of premiums and accretion of discounts related to our available-for-sale marketable debt securities, net of associated fees.

Interest Expense

Interest expense consists of amortization of debt issuance costs incurred in connection with the issuance of our convertible senior notes.

Other Income (Expense), Net

Other income (expense), net consists primarily of (i) net realized and unrealized gains (losses) on our strategic investments in equity securities, and (ii) the effect of exchange rates on our foreign currency-denominated asset and liability balances.

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Provision for (Benefit from) Income Taxes

Provision for (benefit from) income taxes consists primarily of income taxes in certain foreign and U.S. federal and state jurisdictions in which we conduct business. We maintain a full valuation allowance against our U.S. and U.K. deferred tax assets because we have concluded that it is more likely than not that the deferred tax assets will not be realized.

Net Income (Loss) Attributable to Noncontrolling Interest

Our consolidated financial statements include the accounts of Snowflake Inc., our wholly-owned subsidiaries, and a majority-owned subsidiary in which we have a controlling financial interest. Net income (loss) attributable to noncontrolling interest represents the net income (loss) of our majority-owned subsidiary attributed to noncontrolling interest using the hypothetical liquidation at book value method. See Note 2, “Basis of Presentation and Summary of Significant Accounting Policies,” to our consolidated financial statements included elsewhere in this Annual Report on Form 10-K for further details.

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Results of Operations

The following table sets forth our consolidated statements of operations data for the periods indicated (in thousands):

	Fiscal Year Ended January 31,
		2026		2025		2024
Revenue		$	4,683,946	$	3,626,396	$	2,806,489
Cost of revenue(1)		1,537,805		1,214,673		898,558
Gross profit		3,146,141		2,411,723		1,907,931
Operating expenses(1):
Sales and marketing		2,062,137		1,672,092		1,391,747
Research and development		1,969,472		1,783,379		1,287,949
General and administrative		549,697		412,262		323,008
Total operating expenses		4,581,306		3,867,733		3,002,704
Operating loss		(1,435,165)		(1,456,010)		(1,094,773)
Interest income		190,556		209,009		200,663
Interest expense		(8,298)		(2,759)		—
Other income (expense), net		(59,003)		(35,339)		44,887
Loss before income taxes		(1,311,910)		(1,285,099)		(849,223)
Provision for (benefit from) income taxes		17,125		4,113		(11,233)
Net loss		(1,329,035)		(1,289,212)		(837,990)
Less: net income (loss) attributable to noncontrolling interest		2,581		(3,572)		(1,893)
Net loss attributable to Snowflake Inc.		$	(1,331,616)	$	(1,285,640)	$	(836,097)

________________

(1)Includes stock-based compensation as follows (in thousands):

	Fiscal Year Ended January 31,
		2026		2025		2024
Cost of revenue		$	139,170	$	142,163	$	123,363
Sales and marketing		378,886		331,807		299,657
Research and development		935,418		852,027		644,928
General and administrative		146,073		153,317		100,067
Total stock-based compensation		$	1,599,547	$	1,479,314	$	1,168,015

The overall increase in stock-based compensation for the fiscal year ended January 31, 2026, compared to the fiscal year ended January 31, 2025, was primarily attributable to additional equity awards granted to existing and new employees, partially offset by the effects of equity awards that became fully vested or forfeited.

As of January 31, 2026, total compensation cost related to unvested awards not yet recognized was $3.1 billion, which will be recognized over a weighted-average period of 2.7 years. See Note 12, “Equity,” to our consolidated financial statements included elsewhere in this Annual Report on Form 10-K for further details.

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The following table sets forth our consolidated statements of operations data expressed as a percentage of revenue for the periods indicated:

	Fiscal Year Ended January 31,
		2026		2025		2024
Revenue		100	%	100	%	100	%
Cost of revenue(1)		33		33		32
Gross profit		67		67		68
Operating expenses(1):
Sales and marketing		44		46		50
Research and development		42		49		46
General and administrative		12		12		11
Total operating expenses		98		107		107
Operating loss		(31)		(40)		(39)
Interest income		4		6		7
Interest expense		—		—		—
Other income (expense), net		(1)		(1)		2
Loss before income taxes		(28)		(35)		(30)
Provision for (benefit from) income taxes		—		1		—
Net loss		(28)		(36)		(30)
Less: net income (loss) attributable to noncontrolling interest		—		—		—
Net loss attributable to Snowflake Inc.		(28%)		(36%)		(30%)

________________

(1)Stock-based compensation included in the table above as a percentage of revenue as follows:

	Fiscal Year Ended January 31,
		2026		2025		2024
Cost of revenue		3	%	4	%	4	%
Sales and marketing		8		9		11
Research and development

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2026-03-20 10-K Annual Report
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