
Snowflake
Provides a data warehouse as a service designed for the cloud.














USD | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | 106 % | 69 % | 36 % | 29 % | 25 % | 23 % | 23 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | (57 %) | (38 %) | (36 %) | (29 %) | 12 % | 14 % | 16 % |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | (56 %) | (39 %) | (30 %) | (35 %) | (31 %) | (24 %) | (18 %) |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
R&D % of revenue | 38 % | 38 % | 46 % | 49 % | - | - | - |
Source: Company filings or news article, Equity research estimates
Related Content
Snowflake operates in the data management and analytics market, providing a comprehensive platform known as the AI Data Cloud. This platform allows organizations to mobilize their data with near-unlimited scale, concurrency, and performance. Snowflake's services include data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The company serves a diverse range of clients, from small businesses to large enterprises, across various industries. Snowflake's business model revolves around a subscription-based service, where clients pay for the storage and compute resources they use. The platform's ability to unite siloed data, facilitate secure data sharing, and execute diverse analytic workloads makes it a valuable asset for organizations looking to leverage their data for strategic insights. Snowflake's seamless experience across multiple public clouds ensures that data and users can operate efficiently, regardless of their location. The company generates revenue through its scalable and flexible pricing model, which aligns with the specific needs and usage patterns of its clients.
Keywords: AI Data Cloud, data mobilization, data sharing, analytics, data warehousing, data lakes, data engineering, data science, public clouds, subscription-based.
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