Finance.Foundation
0 entities · seed-0.7 · marketcap-1 · 2026-08-30

Companies

A registry of the world's largest public companies by market capitalization, mapped to exchanges (MIC), tickers, jurisdictions and open identifiers — LEI, ISIN and FIGI. Each row links into the knowledge graph; the full dataset is one click away as CSV or JSON.

SectorTechnology · 20Financials · 24Healthcare · 11Consumer Discretionary · 15Consumer Staples · 8Energy · 10Industrials · 12Materials · 4Communication Services · 14Utilities · 2Real Estate · 1

CountryAustralia · 3Brazil · 1Canada · 4China · 11France · 6Germany · 6Hong Kong SAR · 1India · 4Italy · 1Japan · 8Netherlands · 3Saudi Arabia · 2Singapore · 1South Korea · 2Spain · 1Sweden · 1Switzerland · 4Taiwan · 1United Kingdom · 7United States · 54

ExchangeAustralian Securities Exchange · 3B3 (Brasil, Bolsa, Balcão) · 1Bolsas y Mercados Españoles (BME) · 1Borsa Italiana · 1Euronext · 9Hong Kong Exchanges and Clearing · 8Japan Exchange Group (TSE) · 8Korea Exchange · 2London · 7Nasdaq · 18National of India · 4New York · 39Nasdaq Stockholm (OMX Stockholm) · 1SIX Swiss Exchange · 4Shanghai · 1Shenzhen · 2Saudi Exchange (Tadawul) · 2Toronto · 4Deutsche Börse Xetra · 6 × clear all

Filtered by "GE" — showing 0 of 121. Reset.

Market capitalisation is computed, not copied: shares outstanding from each issuer's own filing multiplied by the closing price on its home listing (2026-08-28), converted at the ECB reference rate where the listing is not in dollars. Every company page shows the two inputs, their dates and a link to the filing. A dash means we hold no share count we can source to a document — we publish nothing rather than a figure we cannot show the working for. Identifiers: LEI from GLEIF, FIGI from OpenFIGI, MIC from the ISO 10383 registry. Full provenance.

Download this dataset: CSV · JSON — open data, CC BY 4.0, attribution "Finance Foundation".

Approximate reference values from public sources · seed-0.7 · marketcap-1 · 2026-08-30 · not real-time. See data & methodology.

# this page as data GET https://finance.foundation/api/v1/companies

JSONCSV No key, CORS enabled — paste any of these straight into a notebook.

Code to fetch it
curl
curl -s https://finance.foundation/api/v1/companies
Python
import requests r = requests.get("https://finance.foundation/api/v1/companies", timeout=30) r.raise_for_status() data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/companies"); if (!r.ok) throw new Error(r.status); const data = await r.json();
pandas
import pandas as pd df = pd.read_csv("https://finance.foundation/api/v1/companies.csv")