SEC EDGAR: annual 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.

Annual financial facts (revenue, gross profit, operating income, net income, assets, liabilities, equity, cash) for 30 large U.S. listed companies, taken from their 10-K 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 year); fiscal years follow each company's own fy label. 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: 3 252
Colonnes: 12
Cadence de la source: Annuelle
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 year label as reported ('FY').
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	FY	—	2009-12-26	assets	Assets	9 078 000 000	10-K	2011-02-18
2 488	AMD	Advanced Micro Devices Inc	2 010	FY	—	2010-12-25	assets	Assets	4 964 000 000	10-K	2012-02-24
2 488	AMD	Advanced Micro Devices Inc	2 011	FY	—	2011-12-31	assets	Assets	4 954 000 000	10-K	2013-02-21
2 488	AMD	Advanced Micro Devices Inc	2 012	FY	—	2012-12-29	assets	Assets	4 000 000 000	10-K	2014-02-18
2 488	AMD	Advanced Micro Devices Inc	2 013	FY	—	2013-12-28	assets	Assets	4 337 000 000	10-K	2015-02-19
2 488	AMD	Advanced Micro Devices Inc	2 014	FY	—	2014-12-27	assets	Assets	3 767 000 000	10-K	2016-02-18
2 488	AMD	Advanced Micro Devices Inc	2 015	FY	—	2015-12-26	assets	Assets	3 084 000 000	10-K	2017-02-21
2 488	AMD	Advanced Micro Devices Inc	2 016	FY	—	2016-12-31	assets	Assets	3 321 000 000	10-K	2018-02-27
2 488	AMD	Advanced Micro Devices Inc	2 017	FY	—	2017-12-30	assets	Assets	3 552 000 000	10-K	2019-02-08
2 488	AMD	Advanced Micro Devices Inc	2 018	FY	—	2018-12-29	assets	Assets	4 556 000 000	10-K	2020-02-04

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_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/sec/sec_company_financials_annual").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_annual

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