Financial research concept

Data Cloud Million-Dollar Customers

Data cloud million-dollar customers counts capacity-contract customer accounts producing more than $1 million of trailing-12-month product revenue.

By Lee BaileyPublished Sep 23, 2026
Research context

See what supports this page, how current it is, and where comparable or historical context is available.

Research date
Sep 23, 2026Use the dated article and cited sources for the definition, examples, and stated limitations.
Operating-model context
15 connected conceptsPart of the reviewed Data Cloud Consumption Economics; issuer definitions remain distinct where disclosed.
Company examples
1 reviewed companyRelationships reflect supported examples, not a normalized cross-company KPI ranking.
  1. Why investors track it
  2. Investor caution
  3. Part of the Data Cloud Consumption Economics
  4. See It in Company Research
  5. Continue Research

Data Cloud Million-Dollar Customers counts customer accounts under capacity arrangements that generated more than $1 million of product revenue during the trailing 12 months.

Snowflake reported 828 customers above the $1 million threshold as of July 31, 2026, compared with 654 a year earlier.

Why investors track it

The metric helps show whether the platform is scaling into large enterprise relationships. Snowflake says larger customers can offer more opportunities to sell additional capacity, support more workloads, and migrate more data over time.

The company also reported that customers above the $1 million threshold generated about 68% of trailing-12-month product revenue.

Investor caution

This is an account count, not necessarily a count of unique corporate groups. Snowflake says a single organization with multiple divisions, segments, or subsidiaries can be counted more than once, while on-demand-only users are excluded from the customer count.

Source:

Part of the Data Cloud Consumption Economics

Connect realized platform consumption, enterprise customer expansion, contracted demand, revenue mix, and gross-margin economics for consumption-based data-cloud platforms.

How the model fits together
  • Consumption, revenue mix, and delivery economics: Product revenue is recognized from actual platform consumption rather than contract duration. Product revenue mix separates that core consumption revenue from professional services, while product gross profit and margin show the direct economics of delivering the platform and professional-services margin remains economically distinct.
  • Existing-customer expansion and enterprise penetration: Net revenue retention tracks product-revenue change within a defined existing capacity-contract cohort, while million-dollar customer counts and Forbes Global 2000 penetration show how broadly the platform is scaling into large enterprise relationships. These measures use issuer-specific customer definitions and are not interchangeable.
  • Contracted demand and revenue conversion: Remaining performance obligations measure contracted revenue not yet recognized, while RPO growth, expected next-12-month recognition, and capacity-contract remaining life add growth and duration context. In a consumption model, these measures do not form a fixed revenue schedule because actual recognition depends on future customer usage.

See It in Company Research

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