Companies & finance
Financial reports and filings dataset
Review annual and interim reports, audits, prospectuses, bond documents, ratings, research, and macro reports from exchanges, regulators, company disclosures, and permitted providers.
Request a sample ↗What to confirm before requesting a quote
- Coverage
- Regions, languages, date range and available record count
- Fields and attachments
- Field definitions, example records and whether original documents or media are required
- Quality and updates
- Deduplication and missing-value rules, sample-based acceptance criteria and update frequency
- Permitted uses
- Internal research, model training, customer-facing products or redistribution
These are project scoping questions, not a statement that every data type includes all coverage or permissions.
01 / WHAT’S INCLUDED
What’s in the dataset
- Annual and interim reports
- Audit and prospectus documents
- Bond and rating materials
- Permitted research and macro reports
02 / USE CASES
Where it can help
- Disclosure review
- Issuer research
03 / DELIVERY
Choose the data you need
Tell us your topics, date range and required fields. Where the source permits, we’ll provide a sample first, then agree on filtering, cleanup and annotation.
Typical delivery formats are Excel, CSV, JSON and JSONL. The quote will state whether original documents or media are included. Let us know if you need recurring updates.
See a sample format ↗Assess the fit for your project
Financial reports and filings can form a working set around annual and interim reports, audits, prospectuses, bond and rating material, and permitted research reports. It supports disclosure retrieval and comparison, not investment advice or a guarantee that every document is complete.
How should an issuer-disclosure scope be defined?
Provide issuer or industry lists, jurisdictions or markets, document types, dates, and whether originals, extracted text, or tables are needed. A sample should check sources, document availability, and field structure rather than presuming every report can be supplied.
Can it be used directly for investment conclusions?
Data can organize and retrieve disclosed material; professional judgment remains with the user and appropriate review process. Data labeling, extraction, or classification is not investment advice, a rating, or regulatory certification.
Sources and usage
Disclosed or permitted sources only; document rights are agreed for each engagement.
If you plan to train a model, use the data in a customer-facing product or share it with third parties, mention this when requesting a quote so we can check source permissions and restrictions.
Public access does not establish permission for collection, training or redistribution. Naming a platform does not imply affiliation, agency or endorsement.
Read about data sources and rights ↗Want to review a sample first?
Tell us your project objectives and we’ll help you assess and find a relevant sample.