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finance.foundation / Markets / New York Stock Exchange
Market · XNYS · United States

New York Stock Exchange

Largest equity market in the world by listed domestic market capitalization, on the World Federation of Exchanges monthly statistics.

MIC (ISO 10383)
XNYS
Country
United States
Type
Stock exchange
Trading currency
USD
Timezone
America/New_York
Operator
Intercontinental Exchange (ICE)
Operator LEI
5493000F4ZO33MV32P92 (GLEIF)

Trading session local time · America/New_York

Session hours and the settlement cycle are compiled by Finance Foundation from the venue’s own published trading calendar. These are exact and change-prone — an extended session or a moved auction dates a figure like this quickly — so each row below carries what two independently maintained open calendars say about the same venue. Verify against the exchange before relying on any of it operationally. Sources.

Two independently maintained open calendars return the same hours as we hold. Cross-check from exchange_calendars (Apache 2.0) and pandas_market_calendars (MIT); neither endorses this site.

Regular session
09:30–16:00
Lunch break
none
Pre-market
04:00-09:30
Post-market
16:00-20:00
Settlement cycle
T+1

Ownership

Operating entity
INTERCONTINENTAL EXCHANGE, INC. US
5493000F4ZO33MV32P92
Not the name this venue trades under. Intercontinental Exchange (ICE) is the group; the entity above is the one the ISO 10383 registry binds XNYS to, and the one that legally runs this market.
Ultimate owner
None above it — INTERCONTINENTAL EXCHANGE, INC. is the top of its own ownership chain.
GLEIF records no parent for this entity (NO_KNOWN_PERSON), so the operator is itself the top of the tree
Sibling venues
ICE Futures U.S., ICE Futures Europe — run by the same group
Owner listed
ICE on New York Stock Exchange
Self-listed — its own shares trade on a market it operates.
Who holds it
Dispersed public shareholders with no strategic or controlling holder — the only 5%+ holders are index managers (Vanguard 10.1%, BlackRock 6.9%), and all directors and executive officers together hold under 1%.

Clearing and settlement

These are separate legal entities from the venue operator above, each with its own LEI — a distinction the ISO 10383 registry itself gets wrong for two venues in this dataset, where it records the depository's or the clearing house's code against the exchange. The full layer.

Segment MICs 7 venues under XNYS

MICSegment / venue
ARCXNYSE Arca
XASENYSE American
XCISNYSE National
XCHINYSE Texas (formerly NYSE Chicago)
XNYBNYSE Bonds
ARCONYSE Arca Options
AMXONYSE American Options

Operating MIC vs segment MIC per ISO 10383: the operating code identifies the exchange, segment codes identify its individual order books, growth markets and derivatives venues. Every code was checked line by line against the official ISO 10383 registry file (SWIFT is the registration authority) — codes that were expired or belonged to a separate operating venue were rejected.

Assets tied to this venue

Russell 2000 calculated across · S&P 500 calculated across, derivatives listed on

Covered assets whose relationship to this venue is recorded in the dataset — an index calculated on it, or a contract listed on it. Companies listed here are in the table above; this is the non-equity side.

Benchmark indices

Dow Jones Industrial Average · S&P 500 (multi-venue) · NYSE Composite

1 of these 3 are covered as assets here and link through; the rest are named because the venue publishes them, not because we track them. A linked index is a real relationship in the dataset, not a name that happened to match.

Top companies by market cap covered set · 39

CompanyTickerSectorMkt cap ≈
TSMCSemiconductor FoundryTSMTechnology$2.0tn
Eli LillyPharmaceuticalsLLYHealthcare$1.1tn
Berkshire HathawayDiversified HoldingsBRK.AFinancials$1.1tn
JPMorgan ChaseBankingJPMFinancials$950.6bn
WalmartDiscount & grocery retailWMTConsumer Staples$817.9bn
VisaPaymentsVFinancials$717.4bn
Johnson & JohnsonPharma & MedTechJNJHealthcare$645.9bn
ExxonMobilOil & GasXOMEnergy$644.4bn
MastercardPaymentsMAFinancials$521.5bn
AbbViePharmaceuticalsABBVHealthcare$451.5bn
OracleEnterprise software & cloud infrastructureORCLTechnology$434.5bn
ChevronIntegrated oil & gasCVXEnergy$398.8bn
Coca-ColaNon-alcoholic beveragesKOConsumer Staples$385.8bn
CaterpillarConstruction & mining equipmentCATIndustrials$367.9bn
Merck & Co.PharmaceuticalsMRKHealthcare$366bn
GE AerospaceAerospace engines & servicesGEIndustrials$355.4bn
UnitedHealth GroupHealth InsuranceUNHHealthcare$352.7bn
Morgan StanleyInvestment banking & wealth managementMSFinancials$337.3bn
Procter & GambleHousehold & personal care productsPGConsumer Staples$334.2bn
Home DepotHome improvement retailHDConsumer Discretionary$329.4bn
Goldman SachsInvestment BankingGSFinancials$301.1bn
Wells FargoBankingWFCFinancials$262.2bn
Thermo Fisher ScientificLife-science tools & diagnosticsTMOHealthcare$230bn
American ExpressPayments & consumer financeAXPFinancials$225bn
IBMEnterprise IT, software & consultingIBMTechnology$222bn
SalesforceEnterprise software (CRM)CRMTechnology$210.7bn
VerizonTelecommunicationsVZCommunication Services$208.2bn
AbbottMedical devices & diagnosticsABTHealthcare$194.6bn
McDonald'sRestaurants (quick service)MCDConsumer Discretionary$187.5bn
Walt DisneyEntertainment & mediaDISCommunication Services$186.7bn
BlackRockAsset ManagementBLKFinancials$180.3bn
NextEra EnergyElectric utilities & renewablesNEEUtilities$170.7bn
ConocoPhillipsOil & gas exploration & productionCOPEnergy$156.6bn
PrologisIndustrial & logistics REITPLDReal Estate$131.3bn
S&P GlobalFinancial data, ratings & indicesSPGIFinancials$130.6bn
Sherwin-WilliamsPaints & coatingsSHWMaterials$83.7bn
Sea LimitedE-commerce, gaming & digital financeSECommunication Services$72.9bn
Air ProductsIndustrial gasesAPDMaterials$68.6bn
NikeAthletic footwear & apparelNKEConsumer Discretionary$58.7bn

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/markets/nyse

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/markets/nyse
Python
import requests r = requests.get("https://finance.foundation/api/v1/markets/nyse", timeout=30) r.raise_for_status() data = r.json()
JavaScript
const r = await fetch("https://finance.foundation/api/v1/markets/nyse"); 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/markets/nyse.csv")