SEC EDGAR: quarterly financials, 30 large U.S. companies

Usage commercial OKÀ jour

Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Quarterly financial facts (revenue, gross profit, operating income, net income, assets, liabilities, equity, cash) for 30 large U.S. listed companies, taken from their 10-Q filings via the SEC EDGAR XBRL company-facts API (https://data.sec.gov/api/xbrl/companyfacts/CIK<cik>.json). Each row is one (company, metric, fiscal quarter); only Q1-Q3 exist because no 10-Q is filed for Q4 (the 10-K covers the full year). Method: keyless JSON download per company; the first present us-gaap tag from a documented priority list is used per metric and the actual tag is recorded in fact_tag; when filings amend a period, the latest-filed value wins. Values are as-reported USD financial facts, not estimates.

Source: U.S. SEC EDGAR
Lignes: 4 106
Colonnes: 12
Cadence de la source: Trimestrielle
Dernière actualisation: 23 sept. 2026
Thème: markets

Colonne	Type	Description
cik	integer	SEC Central Index Key as an integer (zero-pad to 10 digits for EDGAR URLs); with metric, fiscal_year and fiscal_period forms the primary key.
ticker	string	Stock ticker as listed in the SEC company ticker map (e.g. 'BRK-B').
company_name	string	Company name from the SEC company ticker map.
fiscal_year	integer	Fiscal year as reported by the company (company-specific; e.g. Apple's FY ends in September).
fiscal_period	string	Fiscal quarter label as reported (Q1, Q2 or Q3; no 10-Q is filed for Q4).
period_start	string	Start of the reported period (YYYY-MM-DD).
period_end	string	End of the reported period (YYYY-MM-DD).
metric	string	Canonical metric name: revenue, gross_profit, operating_income, net_income, assets, liabilities, equity or cash.
fact_tag	string	Actual US-GAAP XBRL tag the value came from (first present tag from the documented priority list per metric).
value_usd	float	As-reported fact value in U.S. dollars (financial fact, not an estimate). (unit: USD)
form	string	Filing form the value was taken from (10-Q / 10-Q/A for quarterly, 10-K / 10-K/A for annual).
filed_date	string	Date the filing was submitted to the SEC (YYYY-MM-DD).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

cik	ticker	company_name	fiscal_year	fiscal_period	period_start	period_end	metric	fact_tag	value_usd	form	filed_date
2 488	AMD	Advanced Micro Devices Inc	2 009	Q2	2009-03-29	2009-06-27	gross_profit	GrossProfit	441 000 000	10-Q	2010-08-04
2 488	AMD	Advanced Micro Devices Inc	2 009	Q3	2009-06-28	2009-09-26	gross_profit	GrossProfit	585 000 000	10-Q	2010-11-03
2 488	AMD	Advanced Micro Devices Inc	2 010	Q1	2009-12-27	2010-03-27	gross_profit	GrossProfit	741 000 000	10-Q	2011-05-10
2 488	AMD	Advanced Micro Devices Inc	2 010	Q2	2010-03-28	2010-06-26	gross_profit	GrossProfit	738 000 000	10-Q	2011-08-10
2 488	AMD	Advanced Micro Devices Inc	2 010	Q3	2010-06-27	2010-09-25	gross_profit	GrossProfit	739 000 000	10-Q	2011-11-09
2 488	AMD	Advanced Micro Devices Inc	2 011	Q1	2010-12-26	2011-04-02	gross_profit	GrossProfit	691 000 000	10-Q	2012-05-09
2 488	AMD	Advanced Micro Devices Inc	2 011	Q2	2011-04-03	2011-07-02	gross_profit	GrossProfit	720 000 000	10-Q	2012-08-02
2 488	AMD	Advanced Micro Devices Inc	2 011	Q3	2011-07-03	2011-10-01	gross_profit	GrossProfit	756 000 000	10-Q	2012-11-01
2 488	AMD	Advanced Micro Devices Inc	2 012	Q1	2012-01-01	2012-03-31	gross_profit	GrossProfit	27 000 000	10-Q	2013-05-06
2 488	AMD	Advanced Micro Devices Inc	2 012	Q2	2012-04-01	2012-06-30	gross_profit	GrossProfit	638 000 000	10-Q	2013-08-01

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/sec/sec_company_financials_quarterly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/sec/sec_company_financials_quarterly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/sec/sec_company_financials_quarterly

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.