Financial research concept

Data Cloud Million-Dollar Customer Growth

Data cloud million-dollar customer growth measures the year-over-year increase in capacity-contract customer accounts above $1 million of trailing 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. What it can reveal
  2. Investor caution
  3. Part of the Data Cloud Consumption Economics
  4. See It in Company Research
  5. Continue Research

Data Cloud Million-Dollar Customer Growth measures how quickly the number of large customer accounts above a defined trailing product-revenue threshold is expanding.

Snowflake's count of customers with more than $1 million of trailing-12-month product revenue increased from 654 to 828 between July 31, 2025 and July 31, 2026.

That is growth of roughly 26.6%, consistent with the company's reported 27% year-over-year increase in its earnings materials.

What it can reveal

Growth in this cohort can indicate successful enterprise expansion, broader workload adoption, and movement of existing customers into larger spending bands.

It is especially useful alongside net revenue retention because the two measures answer different questions: NRR tracks revenue expansion within a defined existing cohort, while the million-dollar count tracks how many accounts have crossed a large-customer threshold.

Investor caution

A rising count does not reveal concentration by itself. A few very large accounts can still drive a disproportionate share of product revenue.

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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