ETF Profiles & Exposure

GET

/etf-global/v1/profiles

Retrieve industry classification data for global ETFs including sector mappings and standardized categorizations across industry frameworks.

Use Cases: ETF categorization and classification, sector and geographic exposure analysis, fund profiling and comparison, portfolio due diligence.

ETF Global Profiles & Exposure$99/mo

ETF Global Profiles & Exposure BusinessContact sales

Plan AccessIncluded in select ETF Global expansion plans

ETF Global Profiles & Exposure$99/mo

Updated daily

ETF Global Profiles & Exposure BusinessContact sales

Updated daily

Plan RecencyUpdated daily

ETF Global Profiles & Exposure$99/mo

All history

ETF Global Profiles & Exposure BusinessContact sales

All history

Plan HistoryRecords date back to April 3, 2017

Query Parameters

processed_date

string

The date showing when ETF Global received and processed the data. Value must be formatted 'yyyy-mm-dd'.

effective_date

string

The date showing when the information was accurate or valid; some issuers, such as Vanguard, release their data on a delay, so the effective_date can be several weeks earlier than the processed_date. Value must be formatted 'yyyy-mm-dd'.

composite_ticker

string

The stock ticker symbol used to identify this ETF product on exchanges.

limit

integer

Limit the maximum number of results returned. Defaults to '100' if not specified. The maximum allowed limit is '5000'.

sort

string

A comma separated list of sort columns. For each column, append '.asc' or '.desc' to specify the sort direction. The sort column defaults to 'composite_ticker' if not specified. The sort order defaults to 'asc' if not specified.

Response Attributes

next_url

string

optional

If present, this value can be used to fetch the next page.

request_id

string

A request id assigned by the server.

results

array (object)

The results for this request.

administrator

string

optional

The administrator of the ETF.

advisor

string

optional

The investment advisor of the ETF.

asset_class

string

optional

The primary type of assets held by the ETF, such as equities, bonds, commodities, or other securities.

aum

number

optional

The total assets under management, representing the current market value of all assets held by the ETF.

avg_daily_trading_volume

number

optional

The average number of shares traded daily over the past month, indicating liquidity and investor interest.

bid_ask_spread

number

optional

The average intraday bid-ask spread as a percentage, calculated by dividing the spread by the lowest ask price sampled during the day.

call_volume

number

optional

Call options volume.

category

string

optional

The broad investment category that describes the ETF's investment focus and strategy.

composite_ticker

string

optional

The stock ticker symbol used to identify this ETF product on exchanges.

coupon_exposure

array (object)

optional

Coupon exposure breakdown for fixed income ETFs.

creation_fee

number

optional

The fee for creating new shares of the ETF.

creation_unit_size

number

optional

The size of creation units for the ETF.

currency_exposure

array (object)

optional

Currency exposure breakdown of the ETF.

custodian

string

optional

The custodian of the ETF assets.

description

string

optional

The official name and description of the ETF product.

development_class

string

optional

The economic development classification of the markets the ETF invests in, such as developed, emerging, or frontier markets.

discount_premium

number

optional

Discount or premium to net asset value.

distribution_frequency

string

optional

How frequently the ETF makes distributions.

distributor

string

optional

The distributor of the ETF.

effective_date

string

optional

The date showing when the information was accurate or valid; some issuers, such as Vanguard, release their data on a delay, so the effective_date can be several weeks earlier than the processed_date.

fee_waivers

number

optional

Any fee waivers applied to the ETF.

fiscal_year_end

string

optional

The fiscal year end date for the ETF.

focus

string

optional

The specific investment focus or exposure that the ETF provides, such as sector, geography, or investment style.

futures_commission_merchant

string

optional

The futures commission merchant, if applicable.

geographic_exposure

array (object)

optional

Geographic exposure breakdown of the ETF.

inception_date

string

optional

The date when this ETF was first launched and became available for trading.

industry_exposure

array (object)

optional

Industry exposure breakdown of the ETF.

industry_group_exposure

array (object)

optional

Industry group exposure breakdown of the ETF.

issuer

string

optional

The financial institution or fund company that created and sponsors this ETF.

lead_market_maker

string

optional

The lead market maker for the ETF.

leverage_style

string

Indicates whether the ETF uses leverage to amplify returns ('leveraged'), or does not use leverage ('unleveraged').

levered_amount

number

optional

The leverage multiplier applied by the ETF, where positive numbers indicate leveraged exposure and negative numbers indicate inverse exposure.

listing_exchange

string

optional

The primary exchange where the ETF is listed.

management_classification

string

Defines whether an ETF is considered active under SEC rules, with managers making investment decisions, or passive, tracking an index.

management_fee

number

optional

The annual fee charged by the fund manager for managing the ETF's portfolio and operations.

maturity_exposure

array (object)

optional

Maturity exposure breakdown for fixed income ETFs.

net_expenses

number

optional

Net expenses after waivers.

num_holdings

number

optional

Number of holdings in the ETF.

options_available

integer

optional

Availability of options on the ETF.

options_volume

number

optional

Options trading volume for the ETF.

other_expenses

number

optional

Other expenses charged by the ETF.

portfolio_manager

string

optional

The portfolio manager of the ETF.

primary_benchmark

string

optional

The main index or benchmark that this ETF is designed to track or replicate.

processed_date

string

optional

The date showing when ETF Global received and processed the data.

product_type

string

Indicates whether the product is an Exchange-Traded Note ('etn') or an Exchange-Traded Fund ('etf').

put_call_ratio

number

optional

Put/call ratio for options on the ETF.

put_volume

number

optional

Put options volume.

region

string

optional

The geographic region or area of the world where the ETF concentrates its investments.

sector_exposure

array (object)

optional

Sector exposure breakdown of the ETF.

short_interest

number

optional

Short interest in the ETF.

subadvisor

string

optional

The subadvisor of the ETF, if applicable.

subindustry_exposure

array (object)

optional

Sub-industry exposure breakdown of the ETF.

tax_classification

string

optional

The tax structure of the ETF, determining whether investors receive 1099 or K1 tax forms (RIC, Partnership, or UIT).

total_expenses

number

optional

The total annual expense ratio of the ETF, including all fees and costs passed on to investors.

transfer_agent

string

optional

The transfer agent for the ETF.

trustee

string

optional

The trustee of the ETF.

status

enum (OK)

The status of this request's response.

Code Examples

curl -X GET "https://api.massive.com/etf-global/v1/profiles?limit=100&sort=composite_ticker.asc&apiKey=YOUR_API_KEY"

from massive import RESTClient

client = RESTClient("YOUR_API_KEY")

items = []
for item in client.etf_global.get_etf_global_profiles(
    limit="100",
    sort="composite_ticker.asc",
):
    items.append(item)

print(items)

package main

import (
	"context"
	"fmt"
	"log"
	"github.com/massive-com/client-go/v3/rest"
	"github.com/massive-com/client-go/v3/rest/gen"
)

func main() {

	c := rest.NewWithOptions("YOUR_API_KEY",
		rest.WithTrace(false),
		rest.WithPagination(true),
	)
	ctx := context.Background()

	params := &gen.GetEtfGlobalV1ProfilesParams{
		Limit: rest.Ptr(100),
		Sort: rest.Ptr("composite_ticker.asc"),
	}

	resp, err := c.GetEtfGlobalV1ProfilesWithResponse(
		ctx,
		params,
	)
	if err != nil {
		log.Fatal(err)
	}

	if err := rest.CheckResponse(resp); err != nil {
		log.Fatal(err)
	}
	
	iter := rest.NewIteratorFromResponse(c, resp)
	for iter.Next() {
		item := iter.Item()
		fmt.Printf("%+v\n", item)
	}
	if err := iter.Err(); err != nil {
		log.Fatal(err)
	}
}

import { restClient } from '@massive.com/client-js';

const apiKey = "YOUR_API_KEY";
const rest = restClient(apiKey, 'https://api.massive.com');

async function example_getEtfGlobalV1Profiles() {
  try {
    const response = await rest.getEtfGlobalV1Profiles(
      {
        limit: "100",
        sort: "composite_ticker.asc"
      }
    );
    console.log('Response:', response);
  } catch (e) {
    console.error('An error happened:', e);
  }
}

example_getEtfGlobalV1Profiles();

package com.massive.client

import com.massive.client.apis.DefaultApi
import com.massive.client.infrastructure.*
import com.massive.client.models.*

fun main() {
    ApiClient.apiKey["apiKey"] = "YOUR_API_KEY"

    val api = DefaultApi()
    try {
        val result = api.getEtfGlobalV1Profiles(
            limit = "100",
            sort = "composite_ticker.asc"
        )
        println(result)
    } catch (e: Exception) {
        println("Error calling getEtfGlobalV1Profiles: ${e.message}")
        e.printStackTrace()
    }
}

Query URL

GET

https://api.massive.com/etf-global/v1/profiles?apiKey=YOUR_API_KEY

Run query unavailable

Create account or sign in to Massive

Scroll to see updated query response

Response Object

{
  "count": 1,
  "request_id": 1,
  "results": [
    {
      "administrator": "State Street Bank and Trust Company",
      "advisor": "SSgA Funds Management, Inc.",
      "asset_class": "Equity",
      "aum": 624531939442.66,
      "avg_daily_trading_volume": 51287737.3,
      "bid_ask_spread": 0.000042,
      "call_volume": 4797339,
      "category": "Size and Style",
      "composite_ticker": "SPY",
      "creation_fee": 3000,
      "creation_unit_size": 50000,
      "currency_exposure": {
        "usd": 1.003
      },
      "custodian": "State Street Bank and Trust Company",
      "description": "SPDR S&P 500 ETF Trust",
      "development_class": "Developed Markets",
      "discount_premium": 0.136123,
      "distribution_frequency": "Q",
      "distributor": "ALPS Distributors, Inc.",
      "effective_date": "2025-01-02",
      "fee_waivers": 0,
      "fiscal_year_end": "31-Aug",
      "focus": "Large Cap",
      "geographic_exposure": {
        "bm": 0.001,
        "ch": 0.003,
        "ie": 0.021,
        "je": 0.001,
        "lr": 0.001,
        "nl": 0.001,
        "pa": 0.001,
        "us": 0.967
      },
      "inception_date": "1993-01-22",
      "industry_exposure": {
        "aerospace_and_defense": 0.011,
        "air_freight_and_logistics": 0.004,
        "airlines": 0.002,
        "auto_components": 0,
        "automobiles": 0.024,
        "banks": 0.033,
        "beverages": 0.011,
        "biotechnology": 0.047,
        "building_products": 0.002,
        "capital_markets": 0.029,
        "cash_or_derivatives": 0.003,
        "chemicals": 0.007,
        "commercial_services_and_supplies": 0.004,
        "communications_equipment": 0.081,
        "construction_and_engineering": 0.001,
        "construction_materials": 0.001,
        "consumer_products": 0.001,
        "containers_and_packaging": 0.001,
        "distributors": 0.001,
        "diversified_consumer_services": 0.005,
        "diversified_financial_services": 0.029,
        "diversified_telecommunication_services": 0.009,
        "electrical_equipment": 0.009,
        "electronic_equipment_instruments_and_components": 0.001,
        "entertainment": 0.008,
        "equity_real_estate_investment": 0.001,
        "food_products": 0.006,
        "health_care_equipment_and_supplies": 0.031,
        "health_care_providers_and_services": 0.018,
        "health_care_technology": 0.003,
        "hotels,_restaurants_and_leisure": 0.001,
        "hotels_restaurants_and_leisure": 0.014,
        "household_durables": 0.004,
        "household_products": 0.011,
        "industrial_conglomerates": 0.005,
        "insurance": 0.035,
        "it_services": 0.021,
        "leisure_products": 0,
        "machinery": 0.013,
        "media": 0.077,
        "metals_and_mining": 0.003,
        "oil_gas_and_consumable_fuels": 0.031,
        "real_estate_management_and_development": 0.018,
        "renewable_energy": 0.001,
        "road_and_rail": 0.003,
        "semiconductors_and_semiconductor_equipment": 0.115,
        "software": 0.101,
        "specialty_retail": 0.082,
        "technology_hardware_storage_and_peripherals": 0.001,
        "textiles_apparel_and_luxury_goods": 0.003,
        "tobacco": 0.006,
        "trading_companies_and_distributors": 0.002,
        "transportation_infrastructure": 0.006,
        "utilities": 0.022
      },
      "industry_group_exposure": {
        "automobiles_and_components": 0.024,
        "banks": 0.033,
        "capital_goods": 0.045,
        "cash_or_derivatives": 0.003,
        "commercial_and_professional_services": 0.005,
        "consumer_durables_and_apparel": 0.007,
        "consumer_services": 0.02,
        "diversified_financials": 0.058,
        "energy": 0.032,
        "food_and_staples_retailing": 0.018,
        "food_beverage_and_tobacco": 0.023,
        "health_care_equipment_and_services": 0.046,
        "household_and_personal_products": 0.011,
        "insurance": 0.035,
        "materials": 0.013,
        "media_and_entertainment": 0.084,
        "pharmaceuticals_biotechnology_and_life_sciences": 0.053,
        "real_estate": 0.02,
        "retailing": 0.065,
        "semiconductors_and_semiconductor_equipment": 0.115,
        "software_and_services": 0.12,
        "technology_hardware_and_equipment": 0.084,
        "telecommunication_services": 0.009,
        "transportation": 0.002,
        "transportation_and_logistics": 0.012,
        "utilities": 0.022
      },
      "issuer": "SSgA",
      "lead_market_maker": "None",
      "leverage_style": "unleveraged",
      "levered_amount": 0,
      "listing_exchange": "NYSE Arca, Inc.",
      "management_classification": "passive",
      "management_fee": 0.0945,
      "net_expenses": 0.0945,
      "num_holdings": 504,
      "options_available": 1,
      "options_volume": 9346839,
      "other_expenses": 0,
      "primary_benchmark": "S&P 500 Index",
      "processed_date": "2025-01-02",
      "product_type": "etf",
      "put_call_ratio": 0.948338,
      "put_volume": 4549500,
      "region": "North America",
      "sector_exposure": {
        "cash_or_derivatives": 0.003,
        "communications": 0.094,
        "consumer_discretionary": 0.113,
        "consumer_staples": 0.054,
        "energy": 0.032,
        "financials": 0.131,
        "health_care": 0.099,
        "industrials": 0.068,
        "materials": 0.013,
        "real_estate": 0.02,
        "technology": 0.321,
        "utilities": 0.022
      },
      "short_interest": 106750000,
      "subindustry_exposure": {
        "advertising": 0.001,
        "aerospace_and_defense": 0.011,
        "agricultural_and_farm_machinery": 0.002,
        "agricultural_products": 0.001,
        "air_freight_and_logistics": 0.004,
        "airlines": 0.002,
        "alternative_carriers": 0.009,
        "apparel_accessories_and_luxury": 0.003,
        "apparel_retail": 0.005,
        "application_software": 0.024,
        "asset_management_and_custody_banks": 0.006,
        "auto_parts_and_equipment": 0,
        "automobile_manufacturers": 0.024,
        "automotive_retail": 0.004,
        "biotechnology": 0.047,
        "brewers": 0,
        "building_products": 0.002,
        "cable_and_satellite": 0.004,
        "cash_or_derivatives": 0.003,
        "casinos_and_gaming": 0.001,
        "commodity_chemicals": 0.001,
        "communications_equipment": 0.081,
        "construction_and_engineering": 0.001,
        "construction_machinery_and_heavy_trucks": 0.006,
        "construction_materials": 0.001,
        "consumer_electronics": 0.001,
        "consumer_finance": 0.029,
        "data_processing_and_outsourced_services": 0.006,
        "distillers_and_vintners": 0.001,
        "distributors": 0,
        "diversified_banks": 0.033,
        "diversified_chemicals": 0.002,
        "diversified_metals_and_mining": 0.001,
        "diversified_support_services": 0.001,
        "drug_retail": 0,
        "electric_utilities": 0.013,
        "electrical_components_and_equipment": 0.009,
        "electronic_components": 0.001,
        "electronic_equipment_and_instruments": 0,
        "electronic_manufacturing_services": 0,
        "environmental_and_facilities_services": 0.003,
        "fertilizers_and_agricultural_che": 0.001,
        "financial_exchanges_and_data": 0.006,
        "food_retail": 0.002,
        "gas_utilities": 0,
        "general_merchandise_stores": 0.002,
        "health_care_distributors": 0.003,
        "health_care_equipment": 0.014,
        "health_care_facilities": 0.001,
        "health_care_services": 0.004,
        "health_care_supplies": 0.003,
        "heavy_electrical_equipment": 0.001,
        "highways_and_railtracks": 0.005,
        "home_improvement_retail": 0.012,
        "homebuilding": 0.002,
        "hotels_resorts_and_cruise_lines": 0.004,
        "household_products": 0.011,
        "hypermarkets_and_super_centers": 0.016,
        "independent_power_producers_and_energy_traders": 0.001,
        "industrial_conglomerates": 0.005,
        "industrial_machinery": 0.005,
        "insurance_brokers": 0.005,
        "integrated_oil_and_gas": 0.014,
        "interactive_media_and_services": 0.067,
        "internet_and_direct_marketing_retail": 0.043,
        "internet_services_and_infrastruc": 0.004,
        "investment_banking_and_brokerage": 0.01,
        "it_consulting_and_other_services": 0.011,
        "leisure_facilities": 0,
        "leisure_products": 0.001,
        "life_and_health_insurance": 0.003,
        "life_sciences_tools_and_services": 0.014,
        "managed_health_care": 0.013,
        "metal_and_glass_containers": 0.001,
        "movies_and_entertainment": 0.012,
        "multiutilities": 0.006,
        "oil_and_gas_equipment_and_services": 0.002,
        "oil_and_gas_exploration_and_production": 0.007,
        "oil_and_gas_refining_and_marketing": 0.003,
        "oil_and_gas_storage_and_transporta": 0.004,
        "packaged_foods_and_meats": 0.006,
        "paper_packaging": 0.001,
        "precious_metals_and_minerals": 0.001,
        "property_and_casualty_insurance": 0.027,
        "publishing_and_broadcasting": 0,
        "railroads": 0.001,
        "real_estate_services": 0.001,
        "reinsurance": 0,
        "reit": 0.019,
        "renewable_energy_equipment": 0.001,
        "research_and_consulting_services": 0.002,
        "restaurants": 0.009,
        "security_and_alarm_services": 0.004,
        "semiconductors": 0.115,
        "soft_drinks": 0.01,
        "specialty_chemicals": 0.004,
        "specialty_stores": 0.001,
        "steel": 0.001,
        "systems_software": 0.078,
        "technology_hardware_storage_and_peripherals": 0.002,
        "tobacco": 0.006,
        "trading_companies_and_distributors": 0.002,
        "trucking": 0.004,
        "water_utilities": 0
      },
      "tax_classification": "Regulated Investment Company",
      "total_expenses": 0.0945,
      "transfer_agent": "State Street Bank and Trust Company",
      "trustee": "State Street Global Advisors Trust Company"
    }
  ],
  "status": "OK"
}

// Run a query to see a response

from massive import RESTClient client = RESTClient("YOUR_API_KEY") items = [] for item in client.etf_global.get_etf_global_profiles( limit="100", sort="composite_ticker.asc", ): items.append(item) print(items)

package main import ( "context" "fmt" "log" "github.com/massive-com/client-go/v3/rest" "github.com/massive-com/client-go/v3/rest/gen" ) func main() { c := rest.NewWithOptions("YOUR_API_KEY", rest.WithTrace(false), rest.WithPagination(true), ) ctx := context.Background() params := &gen.GetEtfGlobalV1ProfilesParams{ Limit: rest.Ptr(100), Sort: rest.Ptr("composite_ticker.asc"), } resp, err := c.GetEtfGlobalV1ProfilesWithResponse( ctx, params, ) if err != nil { log.Fatal(err) } if err := rest.CheckResponse(resp); err != nil { log.Fatal(err) } iter := rest.NewIteratorFromResponse(c, resp) for iter.Next() { item := iter.Item() fmt.Printf("%+v\n", item) } if err := iter.Err(); err != nil { log.Fatal(err) } }

import { restClient } from '@massive.com/client-js'; const apiKey = "YOUR_API_KEY"; const rest = restClient(apiKey, 'https://api.massive.com'); async function example_getEtfGlobalV1Profiles() { try { const response = await rest.getEtfGlobalV1Profiles( { limit: "100", sort: "composite_ticker.asc" } ); console.log('Response:', response); } catch (e) { console.error('An error happened:', e); } } example_getEtfGlobalV1Profiles();

package com.massive.client import com.massive.client.apis.DefaultApi import com.massive.client.infrastructure.* import com.massive.client.models.* fun main() { ApiClient.apiKey["apiKey"] = "YOUR_API_KEY" val api = DefaultApi() try { val result = api.getEtfGlobalV1Profiles( limit = "100", sort = "composite_ticker.asc" ) println(result) } catch (e: Exception) { println("Error calling getEtfGlobalV1Profiles: ${e.message}") e.printStackTrace() } }

{ "count": 1, "request_id": 1, "results": [ { "administrator": "State Street Bank and Trust Company", "advisor": "SSgA Funds Management, Inc.", "asset_class": "Equity", "aum": 624531939442.66, "avg_daily_trading_volume": 51287737.3, "bid_ask_spread": 0.000042, "call_volume": 4797339, "category": "Size and Style", "composite_ticker": "SPY", "creation_fee": 3000, "creation_unit_size": 50000, "currency_exposure": { "usd": 1.003 }, "custodian": "State Street Bank and Trust Company", "description": "SPDR S&P 500 ETF Trust", "development_class": "Developed Markets", "discount_premium": 0.136123, "distribution_frequency": "Q", "distributor": "ALPS Distributors, Inc.", "effective_date": "2025-01-02", "fee_waivers": 0, "fiscal_year_end": "31-Aug", "focus": "Large Cap", "geographic_exposure": { "bm": 0.001, "ch": 0.003, "ie": 0.021, "je": 0.001, "lr": 0.001, "nl": 0.001, "pa": 0.001, "us": 0.967 }, "inception_date": "1993-01-22", "industry_exposure": { "aerospace_and_defense": 0.011, "air_freight_and_logistics": 0.004, "airlines": 0.002, "auto_components": 0, "automobiles": 0.024, "banks": 0.033, "beverages": 0.011, "biotechnology": 0.047, "building_products": 0.002, "capital_markets": 0.029, "cash_or_derivatives": 0.003, "chemicals": 0.007, "commercial_services_and_supplies": 0.004, "communications_equipment": 0.081, "construction_and_engineering": 0.001, "construction_materials": 0.001, "consumer_products": 0.001, "containers_and_packaging": 0.001, "distributors": 0.001, "diversified_consumer_services": 0.005, "diversified_financial_services": 0.029, "diversified_telecommunication_services": 0.009, "electrical_equipment": 0.009, "electronic_equipment_instruments_and_components": 0.001, "entertainment": 0.008, "equity_real_estate_investment": 0.001, "food_products": 0.006, "health_care_equipment_and_supplies": 0.031, "health_care_providers_and_services": 0.018, "health_care_technology": 0.003, "hotels,_restaurants_and_leisure": 0.001, 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0.0945, "transfer_agent": "State Street Bank and Trust Company", "trustee": "State Street Global Advisors Trust Company" } ], "status": "OK" }