Access and Interpret digital reports

2 minute read

Once a report is digitally prepared and filed, its value comes from being accessed, checked and used with confidence.

This section explains how digitally tagged reports can be accessed through company websites, regulatory platforms and data tools, and why validation matters before and after filing. It shows how structured data enables analysis, comparison and reuse, while also highlighting the importance of checks that help ensure accuracy, completeness and technical validity.

Whether you are reviewing your own filing or using data submitted by others, this section helps you understand what “good” digital reporting looks like and how to trust the information you are working with.

XBRL Journey Video: Access and Interpret

Structured digital reports are a powerful resource for investors, fintechs, banks, and analysts. By making financial data machine-readable and standardised, XBRL enables faster, deeper, and more accurate analysis, not least because new tools powered by AI have made structured financial data a key source of insight.

How can preparers make It accessible?

On your website

Publish the structured report alongside the PDF version, clearly marked as the official filing (For listed companies).

Inline XBRL viewers

These tools allow users to view the human-readable report and interact with embedded tags without downloading ZIP files.

Central repositories

Investors frequently access XBRL data via the FCA’s National Storage Mechanism and Companies House.  Filing digitally makes data more accessible to providers of capital.

How to Access XBRL Data

Structured reports are designed to be open and accessible. From a single company’s filing to large-scale datasets, there are multiple ways to access XBRL-tagged information.

1. Individual Reports

Company Websites

Many large companies publish their structured report alongside the PDF version. Look for the XHTML/iXBRL file marked as the official version.

FCA National Storage Mechanism (NSM)

Access structured reports for UK listed companies via the https://data.fca.org.uk/#/nsm/nationalstoragemechanism.

Companies House

Download iXBRL-tagged accounts for UK companies from https://www.gov.uk/get-information-about-a-company.

UK Inline XBRL Viewer

The Viewer enables users to easily view and analyse Inline XBRL files, displaying tagged data within reports. This innovative tool represents a significant step forward in making company financial information more accessible and transparent to stakeholders. Use the https://viewer.xbrl.org/ to open individual XHTML files in a browser. This allows anyone to:

  • View the human-readable report.
  • Highlight tagged facts.
  • Click on tags to see details like concept, context, and units.

Links:

2. Bulk Access

Open Platforms

For pan-European listed companies, use https://filings.xbrl.org/ to access thousands of structured reports in one place.

APIs

Companies House provides an https://developer.company-information.service.gov.uk/ for programmatic access to filings, enabling integration with analytics tools and dashboards

Commercial platforms

Many data providers aggregate and republish Companies House and FCA data often providing standardised versions, this might be suitable for some users.

Why It's Useful

For Investors and Analysts

  • Rapid comparison: Structured data makes it easy to compare performance across companies and sectors without manual extraction.
  • Trend analysis: Investors can track changes over time using consistent tags for key metrics like revenue, profit, and cash flow.
  • Transparency: Tagged disclosures reduce ambiguity and improve confidence in reported figures.

For Fintechs and Banks

  • Automated data feeds: Fintech platforms can pull tagged data directly from filings to power dashboards, risk models, and investment tools.
  • Credit and risk assessment: Banks can integrate structured data into credit scoring and compliance checks, reducing reliance on manual reviews.
  • AI and analytics: Machine-readable reports enable advanced analytics, predictive modelling, and integration with ESG datasets.

For Academics

  • Data for research: XBRL-tagged reports provide a rich, standardised dataset for studying corporate behaviour, financial performance, and market trends.
  • Cross-company analysis: Researchers can compare disclosures across industries and jurisdictions without manual data extraction.
  • Policy and governance studies: Structured data supports analysis of compliance, sustainability reporting, and the impact of regulatory changes.
  • Integration with AI and big data tools: Academics can use structured data for predictive modelling and machine learning applications in finance and economics.

For the Public

  • Transparency and accountability: Anyone can access official filings through platforms like the FCA’s National Storage Mechanism and Companies House, so you can better understand those companies you work for, that are in your community, that you shop with or invest in.

Where to find out more

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