Market-data lake

lake.sec_annual_financials dataset schema

Column types and research semantics for NexusTrade’s lake.sec_annual_financials dataset. Read the supported schema before submitting a bounded SQL query.

Query name
lake.sec_annual_financials
Grain
year
Columns
34

Columns and types

These columns come from the same versioned logical catalog used by the query validator and engine. They describe the fields you can query. Some historical rows have missing values; fields absent from older shards can return typed NULL.

tickerVARCHAR
symbolVARCHAR
dateTIMESTAMP
nameVARCHAR
totalRevenueDOUBLE
netIncomeDOUBLE
ebitdaDOUBLE
grossProfitDOUBLE
freeCashFlowDOUBLE
totalAssetsDOUBLE
totalLiabDOUBLE
commonStockSharesOutstandingDOUBLE
shortTermDebtDOUBLE
longTermDebtDOUBLE
operatingIncomeDOUBLE
operatingCashFlowDOUBLE
capitalExpendituresDOUBLE
filedTIMESTAMP
periodEndTIMESTAMP
availabilitySourceVARCHAR
cikBIGINT
accessionVARCHAR
rawArchiveKeyVARCHAR
rawSha256VARCHAR
sourceFilingUrlVARCHAR
quarterlyFlowProvenanceVARCHAR
revenueDerivationVARCHAR
filedValueCorrectionsVARCHAR
filedPeriodCorrectionVARCHAR
reportingCurrencyVARCHAR
periodStartTIMESTAMP
taxonomyVARCHAR
fiscalYearBIGINT
fiscalPeriodVARCHAR

Current logical schema for lake.sec_annual_financials

Coverage and timing

SEC XBRL annual fundamentals, same shape as sec_quarterly_financials.

Annual rows in the same shape as `sec_quarterly_financials`, and with the same restatement behavior — dedup on `(ticker, periodEnd)` by `filed DESC` before aggregating. Use `year(cast(date as date))` for a calendar year.

Run a limited query

Use a registered API key with lake scope. Select needed columns, bind user-supplied values and restrict dates when the table has a time dimension. Query results are durable parts with a schema and manifest rather than an unbounded in-memory array.

This reference documents the schema and its meaning. Run queries in your signed-in workspace; this page does not execute SQL or show private results and datasets.

sql
SELECT "ticker", "symbol", "date"
FROM lake.sec_annual_financials
LIMIT 20;