SNOW · NYSE
Technology · Software - Application
$330.27
-2.84%
Close on Oct 29, 2026
Research data through 2026-10-29
Long-term research evidence only. No price targets, no trading signals, no recommendations.
Free research · no account required
Research data through Oct 29, 2026. Research is updated periodically, not in real time.
65
of 100 · stored research reading
Stored Quality research reads 65 of 100, an above-average reading in the covered universe. Some underlying measurements are stronger than others.
Quality research measures durability of the business itself from stored fundamentals: balance-sheet strength, profitability consistency and cash generation. It is a research reading, not a prediction of future returns.
How this is measured70
of 100 · stored research reading
Stored Fundamental Momentum research reads 70 of 100. Stored measurements classify recent reported fundamentals as accelerating. This describes reported financial change already disclosed, with no forward-looking claim.
Fundamental Momentum research measures the direction of recently reported company fundamentals compared with the company's own history. It describes reported change, not future price movement.
How this is measured33
of 100 · stored research reading
Stored Capital Returns research reads 33 of 100, recorded as weak. No dividend is recorded for this company, so the reading rests on buybacks and dilution control. Share count has increased at about 3.2% a year in the stored window.
Capital Returns research measures how a company has actually returned cash to shareholders: dividend record, buyback effectiveness, dilution control and how those payments were funded.
How this is measuredNot currently available. No stored valuation ratios exist for this company.
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Research Collections
This company does not currently satisfy any collection rule. That is a stored research result, not a judgement about the business.
Browse collectionsPlain-English definitions, with the formula and the limitations of each measure.
In the company’s own words
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.
Quoted from the business section of this company’s 10-K filed March 20, 2026. Read the filing
General research only. Not personalized advice. Public filings may be delayed, amended, incomplete, or reflect positions that have changed since the reporting date.
