Dataset
structured-financial-statements
Machine-readable XBRL filings covering 10-K and 10-Q reports, cleaned and standardized so financial figures can be extracted reliably.
Dataset card
Calcbench Structured Financial Statements is a commercial dataset of XBRL-tagged financial statement data sourced from SEC filings such as 10-Ks. It is published by Calcbench under a commercial license.
What this dataset contains
The dataset packages structured XBRL financial statement information drawn from regulatory filings of public companies. Coverage includes the underlying filing types referenced in the tags, notably 10-Ks, with broader financial statement content indicated by the xbrl and structured-data tags. Specific row counts, release cadence, and filing-year range are not stated in the available metadata.
Structure and fields
Records are organized as XBRL-tagged line items extracted from filed financial statements. The full column schema is not documented in the available metadata, so individual field names cannot be enumerated. Analysts should expect standard XBRL concepts such as reporting entity identifiers, period contexts, and tagged monetary values, but exact field names remain unconfirmed.
How analysts use it
Equity and credit analysts can use the dataset to standardize comparisons of line-item financials across public companies, build historical time series from structured 10-K disclosures, and automate screens that would otherwise require manual XBRL parsing. Because the schema and coverage are not fully documented, users should validate field definitions and population against a sample before integrating the feed into production models.
Documentation & references 2
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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