All EU Filings. One API. Get Access

The Dataset for Proprietary Research.

Access a complete universe of filings from all European listed companies, including the small and mid-caps that others ignore. Clean, structured, and ready for analysis.

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Powering research at leading institutions

ESCP Business School University of Gothenburg Stockholm School of Economics University of Oxford Universität Paderborn

Old data creates old insights.

Legacy data providers can slow down discovery with incomplete datasets and outdated, difficult-to-use formats.

Selection Bias

Most datasets focus on large-caps, forcing your research to ignore the vast majority of the market and limiting the scope of your discovery.

Unstructured Data

Countless hours are lost manually cleaning messy, scanned PDFs and other unusable formats instead of performing actual analysis.

Restricted Access

Research is often slowed by the friction of on-premise data terminals, restrictive interfaces, and data export limitations.

Unrivaled Coverage

An Unbiased Universe for Your Research

Our dataset includes all listed companies, regardless of size, across Europe and beyond—eliminating survivorship bias and opening new avenues for discovery.

9,000+ Listed Companies
Includes the complete long tail of small and mid-cap companies.
3.3M+ Filings
A deep historical archive of regulatory disclosures.
30+ Countries
All EU member states plus the UK, Norway, Israel, and Turkey.
Since 1998
Over two decades of data for powerful longitudinal studies.

Analysis-Ready Data

Skip the Cleaning. Start the Analysis.

Our parsers turn messy filings into clean Markdown. This isn't just easier to read—it's optimized for AI. Structured Markdown requires significantly fewer tokens to process in Large Language Models (LLMs), making your research faster and dramatically more cost-effective.

BEFORE: Unstructured PDF
An unstructured PDF document showing a consolidated income statement.
AFTER: Clean Markdown
The same financial data presented as clean, structured Markdown text.
Token-Efficient for LLMs.
Clean Markdown uses far fewer tokens than raw text from PDFs, reducing API costs and speeding up analysis.
Structured & Searchable.
Easily parse sections, tables, and key data points programmatically without complex regex or manual effort.
Save Hundreds of Hours.
Eliminate the most tedious step in text-based research—data cleaning and preparation—and get straight to discovery.

Flexible Data Access

Data on Your Terms

Whether you're conducting a large-scale historical study or building a real-time model, we provide the access method that fits your research workflow.

Bulk Downloads
Access decades of historical data delivered directly to your S3 bucket. Perfect for large-scale, longitudinal studies where complete historical context is crucial.
Real-time API
Integrate a live feed of new filings directly into your research platforms and models. Programmatically access any document in our archive on demand.

From Data to Discovery

“For any researcher using computerized text analysis on financial reports, the quality of the input data is paramount. FinancialReports' dataset, particularly its clean Markdown conversion, has been invaluable. It eliminates the time-consuming pre-processing stage and allows us to focus directly on the analysis. Their coverage of small and mid-cap firms is also a significant advantage for our research.”

Headshot of Mari Paananen
Mari Paananen
Senior Lecturer, University of Gothenburg

Empower Your Institution's Research

Request a personalized demo for your university or research group.

See firsthand how our complete dataset and analysis-ready format can accelerate your work. In a brief session, we can show you:

The Complete Dataset: A live look at our coverage, including the small and mid-cap companies others miss.
Analysis-Ready Format: Test the quality of our Markdown conversion and its suitability for NLP/LLM applications.
Flexible Access: Discuss your specific needs for our API and Bulk Download options.
Academic Licensing: Learn about our special programs designed for university-wide access.

Request an Academic Demo

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