On 4 May 2026, ESMA published its Final Report on the integrated collection of funds' data. This report, asked by the Commission under the revised AIFMD and UCITS Directive, sets out how supervisory and statistical reporting for AIFs, UCITS, MMFs and ECB statistics will eventually collapse into one framework.
What is actually being proposed
One modular reporting template would replace the current patchwork of AIFMD, UCITS, MMFR and ECB statistical templates. Core modules would apply to all funds. Modular approach would cover specific fund types (real estate, private equity), supervisory needs (leverage, liquidity) or thematic monitoring (portfolio holdings). Crisis-driven modules can be activated when needed.
Under ESMA’s proposed model, funds would submit data once to a single designated national authority, whether an NCA or NCB, as determined by each Member State. That authority would then transmit the data to a centralised EU hub maintained by ESMA ("report once, use many times"). All entitled authorities (ESMA, NCAs, NCBs, ECB, ESRB, EBA, EIOPA, NSAs) would draw what they need from the hub based on their mandate. National extensions are out, except in narrowly justified cases.
A common regulatory data dictionary would be put in place: one semantic layer across regimes, one syntactic model, ISO 20022 XML as the standard format, standard identifiers (LEI, ISIN, CFI) where available. ESMA explicitly aligns this with the Commission's horizontal data dictionary work and the ECB's IReF programme for banks.
Validation would be centralised at EU level, with a single set of rules and rejection criteria applied once. This would eliminate the current duplication whereby 27 NCAs independently perform additional checks on top of ESMA’s baseline. Granularity shifts toward security-by-security where it adds value. Revised AIFMD and UCITS RTS and ITS are expected to introduce more granular reporting requirements to enable more detailed and consistent breakdowns across multiple analytical dimensions. Aggregates stay where they cannot be reverse-engineered from raw data.
Reporting frequency will be calibrated to reflect the fund’s risk profile, scale and market relevance at module level, reflecting the supervisory relevance of the indicators derived from each module and the corresponding reporting burden for asset managers. This means that different supervisory modules may follow different reporting frequencies, enabling supervisory authorities to distinguish between a set of information requiring higher‑frequency and information that can be reported less frequently without undermining effective supervision.