Revenue Recognition Data Freshness
Understand when data becomes available to Revenue Recognition for different use cases.
Overview
You can access Revenue Recognition product data through:
- Product Dashboard for report downloads and charts
- Sigma
- Reporting API
- Data Pipeline for syncing Sigma tables with a custom data warehouse
This guide helps you interpret how soon completed activities appear in each source.
For the Dashboard, Sigma, and Reporting API, new transaction data appears within 3-4 hours after transaction completion. For instance, ledger entries for an invoice finalised at 10:00 AM UTC on 1 January 2025 become available in reports by 01:00 PM UTC the same day.
You can use the Data Pipeline to sync Revenue Recognition data with a custom data warehouse once per day. This process currently takes up to 28 hours.
Service Level Agreement (SLA) applicability
The availability periods described above represent our SLA, and apply to the following use cases:
- New activity inside Stripe such as charges, invoices, or refunds
- Manual data imports to Revenue Recognition
- Exclusions uploaded to ignore certain transactions
Exceptions
The following table lists use cases where the data availability SLA doesn’t apply.
| Use case | Data freshness |
|---|---|
| Legacy metered subscription’s unbilled usage estimates | Estimates include usage submitted as of 24 hours ago |
| Mobile app store data imports | 24 hours after data connector import |
| Estimation of FX Loss for Customer Balance transactions. | Reports reflect these with a 24-hour delay. |
| Changes to Revenue Recognition rules or chart of account mapping | Historical data reflects changes within 24 hours |
| Re-opening an accounting period for corrections | Reprocessed entries reflect changes within 24 hours |
Data freshness by interface
| Interface | Data freshness value |
|---|---|
| Stripe dashboard (charts and reports) | Check the overview page for data freshness timestamp. |
| Reporting API | Refer to Reports Data availability. |
| Sigma | Check the data_ column in revenue_. |
| Stripe Data Pipeline | Look at the data_ table shared in the warehouse. |