A practical guide to
European company data.
Work through real company records, compare ways to get the data, and learn what to check before trusting the result.
Worked examples
4 articlesAnalyze ASML’s operating margin with an AI agent
A reproducible five-year ASML example with statement values, a margin chart, source filings and a prompt you can run.
Read the guide Worked exampleRead LVMH’s reported and adjusted measures carefully
A 2024 LVMH sample shows why revenue, net income and issuer-defined recurring profit need different labels and source checks.
Read the guide Worked exampleBuild a SAP margin history without filling the gaps
An eleven-period SAP sample with a missing revenue value demonstrates honest tables, chart gaps and mixed-source financial history.
Read the guide Worked exampleGet European company financial statements in Python
A runnable Python example using a public dated sample or an authenticated REST request. Preserve nulls, currency, sources and annual reporting periods.
Read the guideCompare your options
7 articlesFinancial Datasets vs European Financial Data
Compare Financial Datasets with a research workflow focused on Europe: free MCP testing, source-linked statement examples and regulatory disclosures.
Read the guide ComparisonAlpha Vantage vs European Financial Data
Looking beyond stock prices? Try European company statements and regulatory disclosures with your AI agent, with free testing and source-linked examples.
Read the guide ComparisonPublic filings or a financial data MCP server?
Let your agent retrieve European financial records, then check the source report. A practical way to reduce repeated retrieval and calculation work.
Read the guide ComparisonMCP vs REST for financial research
Ask company questions through MCP, or use REST for a script. Start with a free account and use the same underlying financial data across both.
Read the guide ComparisonFinnhub vs European Financial Data
A practical alternative for European company research: free MCP testing, inspectable financial examples and regulatory disclosures. Compare scope and access.
Read the guide ComparisonFactSet vs European Financial Data
Try a focused European research workflow before building a larger integration. Compare free MCP testing with FactSet’s institutional data and tools.
Read the guide ComparisonFinancialData.Net vs European Financial Data
Try European financial research over MCP without a paid plan. Compare free testing, statement examples and FinancialData.Net’s documented access requirements.
Read the guideField guides
5 articlesWhere to get European financial data for AI agents
Choose between issuer reports, public registers and data services for European company research. Start with the question and verify coverage.
Read the guide Field guideResearch European short-position disclosures with an agent
Separate named-holder disclosures, aggregate short positions and observation dates. Includes the UK’s July 2026 regime change and a usable research prompt.
Read the guide Field guideTicker, ISIN or LEI: find the right European company
Avoid mixing an issuer with a listing, security or subsidiary. A practical identity checklist for European financial research with AI agents.
Read the guide Field guideHow to check whether financial data is actually current
Separate reporting period, publication date, ingestion success and request time. A practical freshness checklist for financial-data agents.
Read the guide Field guideFinancial data providers, marketplaces and directories
Understand where Finnhub, FactSet, FinancialData.Net, Datarade and Find My Moat fit when choosing a financial-data source.
Read the guideWritten by European Financial Data. Comparisons identify our role as the publisher and link to provider documentation. Worked examples are dated samples, not live results. Start with coverage when checking whether your own research question is answerable.