What is the role of supervisory statistics?
Last updated on 13 February 2026
Supervisory statistics are key for banking supervision. As supervisors of euro area banks, we need reliable, timely and consistent data to:
- understand banks’ risks and weaknesses
- check that banks comply with the rules
- conduct tasks like stress testing and risk reviews
- make sure our actions are clear and accountable, both within the organisation and to the public
How do we collect supervisory data?
We collect supervisory data from significant institutions directly under our supervision and from less significant institutions overseen by national supervisors. The data can come in different forms. Some are regulatory reporting, others temporary requests, like the ECB’s Short Term Exercise, or one-offs for specific needs.
The data we collect help us understand key areas of a bank’s health. This includes what is on their balance sheet, how profitable they are, how much capital they have available, the quality of their assets, and how much cash and funding they have.
How do we turn raw data into key indicators?
The data team
Our data team includes supervisors, mathematicians, statisticians, data scientists, IT professionals and accountants. We work fast to check and process the data. We use validations, including those from the European Banking Authority (EBA), and undertake additional quality checks.
Data storing and sharing
The team stores data from all supervised banks and works closely with national supervisors. We also share important data with the EBA through a special platform to avoid multiple requests for the same data from banks.
Risk indicators and data insights
Our colleagues compute key risk indicators and create charts and visuals for supervisors. These help us understand how banks manage their risks and controls. We publish data insights in the quarterly aggregated statistics, and each year in the Pillar 3 information for individual banks and in the EBA’s EU-wide transparency exercise.