The EBA outlines next steps on supervisory reporting simplification and extends implementation timelines following consultation feedback on the ITS
Following the public consultation (closed on 10 July 2026) on the review of the ITS on supervisory reporting (Implementing Regulation 2024/3117), the EBA previews the final simplification package: more proportionality, fewer templates and lower frequencies, and longer implementation timelines. The final report with the ITS will be published in December 2026.
Key points
- Simplification of templates: less reporting on collateral, stress testing and ESG, and removal of some thresholds.
- Integration of credit risk and IFRS 9 benchmarking into the supervisory reporting framework, with heavily simplified IFRS 9 reporting more focused on the consolidated level.
- Simplified granular reporting of operational risk losses and a specific stress testing reporting module with its own timelines.
- First reference date for the new requirements postponed to December 2027; liquidity, asset encumbrance, supervisory benchmarking and ESG postponed to December 2028.
- Supervisors on the EBA Board commit to reducing national requests that duplicate data already collected under the EBA framework.
- Other initiatives: guidelines on supervisory and resolution data requests (end of 2026), a public repository of data requests in the EU (operational in the first quarter of 2027) and proposals on change management in reporting (first half of 2027).
- In the interim, follow the EBA Opinion on IFRS 18, take into account the considerations on applying the FRTB from 1 January 2027 and keep the 2026 benchmarking ITS.
Who is affected
All credit institutions subject to COREP/FINREP supervisory reporting, national supervisors and reporting software providers.
Deadlines
Final ITS report in December 2026; technical package (DPM, taxonomies, validation rules) in early 2027; at least one year for implementation; first reference date December 2027, and December 2028 for some areas.
Plain-language version
Summary produced with artificial intelligence from the official publication. It may contain errors: always check the original document.
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