SEC-Financial-Statements-And-Notes-Dataset / sql /validation /usp_sec_validate_statement_integrity.sql
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USE sec_fsnds;
GO
/*
============================================================================
dbo.usp_sec_validate_statement_integrity
============================================================================
Three integrity checks across every 10-K / 10-Q filing:
BS_check Assets == Liabilities + StockholdersEquity
(uses StockholdersEquityIncludingPortionAttributableToNoncontrollingInterest
if the plain tag is missing)
CF_check CashChange == CFO + CFI + CFF + FXEffect
(accepts two equivalent cash-change tags)
IS_check NetIncomeLoss is present (presence-only -- IS line items are
too heterogeneous for a universal arithmetic check across
all filers without tag-dictionary mapping)
A check passes when |lhs - rhs| <= @tolerance * MAX(|lhs|, |rhs|, 1).
A NULL result on either side means the check could not be performed
(missing tag -- not a failure).
Parameters
----------
@cik optional: limit to one company
@form optional: '10-K' or '10-Q' (NULL = both)
@fromFiled optional: filed >= this date
@toFiled optional: filed <= this date
@top max filings to scan (default 10000). Set higher to run
across the whole database.
@tolerance relative tolerance (default 0.01 = 1%)
@onlyFails 1 = return only rows where at least one check FAILED
(helps spot problem filings in a huge sweep)
Result sets
-----------
Result 1: per-filing rows with all raw values and pass/fail flags
Result 2: summary counts (checked / passed / failed / null per check)
Usage
-----
-- Single company, both forms
EXEC dbo.usp_sec_validate_statement_integrity @cik = 789019;
-- Whole database, only 10-Ks, only show failures
EXEC dbo.usp_sec_validate_statement_integrity
@form = '10-K',
@top = 1000000,
@onlyFails = 1;
Performance
-----------
The #facts staging step seeks num via IX_num_sub_tag once per
(subID, tagID of interest) pair. With ~10 tags of interest and @top
filings, expect roughly 10 * @top seeks. On typical hardware that
runs at ~30K seeks/sec, so @top=10000 takes ~3 seconds; @top=1000000
(full DB) takes ~5-10 minutes.
============================================================================
*/
IF OBJECT_ID('dbo.usp_sec_validate_statement_integrity', 'P') IS NOT NULL
DROP PROCEDURE dbo.usp_sec_validate_statement_integrity;
GO
CREATE PROCEDURE dbo.usp_sec_validate_statement_integrity
@cik INT = NULL,
@form VARCHAR(20) = NULL,
@fromFiled DATE = NULL,
@toFiled DATE = NULL,
@top INT = 10000,
@tolerance DECIMAL(18,6) = 0.01,
@onlyFails BIT = 0
AS
BEGIN
SET NOCOUNT ON;
-- ------------------------------------------------------------
-- 1. Build tag map: (group, tagID) for every tagID that shares a
-- canonical tag name across all namespaces / taxonomy years.
-- We can't just resolve a single "latest" tagID per name because
-- older filings point at older versionIDs (e.g. us-gaap/2022).
-- ------------------------------------------------------------
IF OBJECT_ID('tempdb..#tag_map') IS NOT NULL DROP TABLE #tag_map;
CREATE TABLE #tag_map (
tag_group VARCHAR(30) COLLATE DATABASE_DEFAULT NOT NULL,
tagID INT NOT NULL,
PRIMARY KEY (tagID, tag_group)
);
INSERT INTO #tag_map (tag_group, tagID)
SELECT grp, tagID
FROM (
VALUES
('Assets', 'Assets')
,('Liab', 'Liabilities')
,('Equity1', 'StockholdersEquity')
,('Equity2', 'StockholdersEquityIncludingPortionAttributableToNoncontrollingInterest')
,('CFO', 'NetCashProvidedByUsedInOperatingActivities')
,('CFI', 'NetCashProvidedByUsedInInvestingActivities')
,('CFF', 'NetCashProvidedByUsedInFinancingActivities')
,('FX1', 'EffectOfExchangeRateOnCashCashEquivalentsRestrictedCashAndRestrictedCashEquivalents')
,('FX2', 'EffectOfExchangeRateOnCashAndCashEquivalents')
,('CashChg1', 'CashCashEquivalentsRestrictedCashAndRestrictedCashEquivalentsPeriodIncreaseDecreaseIncludingExchangeRateEffect')
,('CashChg2', 'CashAndCashEquivalentsPeriodIncreaseDecreaseIncludingExchangeRateEffect')
,('CashChg3', 'CashAndCashEquivalentsPeriodIncreaseDecrease')
,('NI', 'NetIncomeLoss')
) AS m(grp, tag_name)
INNER JOIN dbo.tag t
ON t.tag = m.tag_name COLLATE DATABASE_DEFAULT;
-- ------------------------------------------------------------
-- 2. Stage target filings
-- ------------------------------------------------------------
IF OBJECT_ID('tempdb..#targets') IS NOT NULL DROP TABLE #targets;
CREATE TABLE #targets (
subID INT PRIMARY KEY,
adsh VARCHAR(20) COLLATE DATABASE_DEFAULT,
cik INT,
name NVARCHAR(250) COLLATE DATABASE_DEFAULT,
form VARCHAR(20) COLLATE DATABASE_DEFAULT,
fy SMALLINT,
fp CHAR(2) COLLATE DATABASE_DEFAULT,
period DATE,
flow_qtrs TINYINT
);
INSERT INTO #targets (subID, adsh, cik, name, form, fy, fp, period, flow_qtrs)
SELECT TOP (@top)
s.subID
,s.adsh
,s.cik
,s.name
,s.form
,s.fy
,s.fp
,CONVERT(date, s.period)
,CASE WHEN s.form = '10-K' THEN CAST(4 AS tinyint) ELSE CAST(1 AS tinyint) END
FROM dbo.sub s
WHERE s.form IN ('10-K','10-Q')
AND (@cik IS NULL OR s.cik = @cik)
AND (@form IS NULL OR s.form = @form)
AND (@fromFiled IS NULL OR s.filed >= @fromFiled)
AND (@toFiled IS NULL OR s.filed <= @toFiled)
ORDER BY s.filed DESC;
-- ------------------------------------------------------------
-- 3. Pull the facts of interest for the staged filings.
-- One row per (subID, tag_group) we care about. The join to
-- #tag_map collapses every version of the same canonical tag
-- name into a single "group" so year-boundary crosses don't
-- lose rows.
-- ------------------------------------------------------------
IF OBJECT_ID('tempdb..#facts') IS NOT NULL DROP TABLE #facts;
CREATE TABLE #facts (
subID INT,
tag_group VARCHAR(30) COLLATE DATABASE_DEFAULT,
qtrs TINYINT,
ddate DATE,
value DECIMAL(28,4)
);
INSERT INTO #facts (subID, tag_group, qtrs, ddate, value)
SELECT
n.subID, m.tag_group, n.qtrs, n.ddate, n.value
FROM #targets t
INNER JOIN dbo.num n ON n.subID = t.subID
INNER JOIN #tag_map m ON m.tagID = n.tagID
WHERE n.dimn = 0
AND n.coregID IS NULL
AND n.iprx = 0
AND n.value IS NOT NULL
OPTION (RECOMPILE);
CREATE INDEX IX_facts ON #facts (subID, tag_group, qtrs, ddate);
-- ------------------------------------------------------------
-- 4. Compute checks
-- ------------------------------------------------------------
;WITH v AS (
SELECT
t.subID, t.adsh, t.cik, t.name, t.form, t.fy, t.fp, t.period, t.flow_qtrs
-- BS (qtrs=0, ddate=period)
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Assets' AND f.qtrs=0 AND f.ddate=t.period) AS bs_assets
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Liab' AND f.qtrs=0 AND f.ddate=t.period) AS bs_liab
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Equity1' AND f.qtrs=0 AND f.ddate=t.period) AS bs_equity1
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Equity2' AND f.qtrs=0 AND f.ddate=t.period) AS bs_equity2
-- CF (qtrs=flow_qtrs, ddate=period)
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFO' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cfo
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFI' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cfi
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFF' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cff
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='FX1' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS fx1
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='FX2' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS fx2
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg1' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cash_chg1
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg2' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cash_chg2
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg3' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cash_chg3
-- IS (presence only)
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='NI' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS net_income
FROM #targets t
),
calc AS (
SELECT
v.*
,COALESCE(v.bs_equity1, v.bs_equity2) AS bs_equity
,COALESCE(v.cash_chg1, v.cash_chg2, v.cash_chg3) AS cash_change
,COALESCE(v.fx1, v.fx2, 0) AS fx_effect
FROM v
),
calc2 AS (
SELECT
c.*
,CASE WHEN c.bs_assets IS NOT NULL AND c.bs_liab IS NOT NULL AND c.bs_equity IS NOT NULL
THEN c.bs_liab + c.bs_equity END AS bs_liab_plus_equity
,CASE WHEN c.cfo IS NOT NULL AND c.cfi IS NOT NULL AND c.cff IS NOT NULL
THEN c.cfo + c.cfi + c.cff + c.fx_effect END AS cf_sum_sections
FROM calc c
),
flagged AS (
SELECT
c.*
-- BS check
,CASE
WHEN c.bs_assets IS NULL OR c.bs_liab_plus_equity IS NULL
THEN NULL
WHEN ABS(c.bs_assets - c.bs_liab_plus_equity)
<= @tolerance * (CASE WHEN ABS(c.bs_assets) > ABS(c.bs_liab_plus_equity)
THEN ABS(c.bs_assets)
ELSE ABS(c.bs_liab_plus_equity) END + 1)
THEN CAST(1 AS bit)
ELSE CAST(0 AS bit)
END AS bs_ok
,c.bs_assets - c.bs_liab_plus_equity AS bs_delta
-- CF check
,CASE
WHEN c.cash_change IS NULL OR c.cf_sum_sections IS NULL
THEN NULL
WHEN ABS(c.cash_change - c.cf_sum_sections)
<= @tolerance * (CASE WHEN ABS(c.cash_change) > ABS(c.cf_sum_sections)
THEN ABS(c.cash_change)
ELSE ABS(c.cf_sum_sections) END + 1)
THEN CAST(1 AS bit)
ELSE CAST(0 AS bit)
END AS cf_ok
,c.cash_change - c.cf_sum_sections AS cf_delta
-- IS check: presence only
,CASE WHEN c.net_income IS NULL THEN CAST(0 AS bit) ELSE CAST(1 AS bit) END AS is_ok
FROM calc2 c
)
SELECT
f.adsh, f.cik, f.name, f.form, f.fy, f.fp, f.period
,f.bs_assets, f.bs_liab, f.bs_equity, f.bs_liab_plus_equity, f.bs_delta, f.bs_ok
,f.cfo, f.cfi, f.cff, f.fx_effect, f.cash_change, f.cf_sum_sections, f.cf_delta, f.cf_ok
,f.net_income, f.is_ok
FROM flagged f
WHERE @onlyFails = 0
OR (f.bs_ok = 0 OR f.cf_ok = 0 OR f.is_ok = 0)
ORDER BY f.cik, f.form, f.period;
-- ------------------------------------------------------------
-- 5. Summary counts
-- ------------------------------------------------------------
;WITH v AS (
SELECT
t.subID, t.flow_qtrs, t.period
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Assets' AND f.qtrs=0 AND f.ddate=t.period) AS bs_assets
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Liab' AND f.qtrs=0 AND f.ddate=t.period) AS bs_liab
,COALESCE(
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Equity1' AND f.qtrs=0 AND f.ddate=t.period),
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='Equity2' AND f.qtrs=0 AND f.ddate=t.period)
) AS bs_equity
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFO' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cfo
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFI' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cfi
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CFF' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS cff
,COALESCE(
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg1' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period),
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg2' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period),
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='CashChg3' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period)
) AS cash_change
,COALESCE(
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='FX1' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period),
(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='FX2' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period),
0
) AS fx_effect
,(SELECT TOP (1) f.value FROM #facts f
WHERE f.subID=t.subID AND f.tag_group='NI' AND f.qtrs=t.flow_qtrs AND f.ddate=t.period) AS net_income
FROM #targets t
),
summary AS (
SELECT
COUNT(*) AS filings_scanned
-- BS
,SUM(CASE WHEN bs_assets IS NOT NULL AND bs_liab IS NOT NULL AND bs_equity IS NOT NULL THEN 1 ELSE 0 END) AS bs_evaluable
,SUM(CASE
WHEN bs_assets IS NOT NULL AND bs_liab IS NOT NULL AND bs_equity IS NOT NULL
AND ABS(bs_assets - (bs_liab + bs_equity))
<= @tolerance * (CASE WHEN ABS(bs_assets) > ABS(bs_liab + bs_equity)
THEN ABS(bs_assets)
ELSE ABS(bs_liab + bs_equity) END + 1)
THEN 1 ELSE 0 END) AS bs_pass
-- CF
,SUM(CASE WHEN cash_change IS NOT NULL AND cfo IS NOT NULL AND cfi IS NOT NULL AND cff IS NOT NULL THEN 1 ELSE 0 END) AS cf_evaluable
,SUM(CASE
WHEN cash_change IS NOT NULL AND cfo IS NOT NULL AND cfi IS NOT NULL AND cff IS NOT NULL
AND ABS(cash_change - (cfo + cfi + cff + fx_effect))
<= @tolerance * (CASE WHEN ABS(cash_change) > ABS(cfo + cfi + cff + fx_effect)
THEN ABS(cash_change)
ELSE ABS(cfo + cfi + cff + fx_effect) END + 1)
THEN 1 ELSE 0 END) AS cf_pass
-- IS
,SUM(CASE WHEN net_income IS NOT NULL THEN 1 ELSE 0 END) AS is_pass
FROM v
)
SELECT
filings_scanned
,bs_evaluable, bs_pass, bs_evaluable - bs_pass AS bs_fail
,cf_evaluable, cf_pass, cf_evaluable - cf_pass AS cf_fail
,filings_scanned - is_pass AS is_missing
,CAST(100.0 * bs_pass / NULLIF(bs_evaluable,0) AS DECIMAL(5,2)) AS bs_pass_pct
,CAST(100.0 * cf_pass / NULLIF(cf_evaluable,0) AS DECIMAL(5,2)) AS cf_pass_pct
FROM summary;
DROP TABLE #facts;
DROP TABLE #targets;
DROP TABLE #tag_map;
END;
GO
/*
============================================================================
Example calls
============================================================================
-- Single company sanity check
EXEC dbo.usp_sec_validate_statement_integrity @cik = 789019;
-- All 10-Ks filed in 2023, failures only
EXEC dbo.usp_sec_validate_statement_integrity
@form = '10-K',
@fromFiled = '2023-01-01',
@toFiled = '2023-12-31',
@top = 100000,
@onlyFails = 1;
*/