Company Segment Financials API
Pull revenue, operating income, assets, and other financial metrics broken down by product line, geographic region, and operating business unit — all from a single endpoint. Coverage spans every public company filing segment data with the SEC, with history going back to the earliest XBRL disclosures. The API is free to use, and includes built-in year-over-year growth and percentage-of-total computation modes so you can skip the spreadsheet math entirely.
Related endpoints: Pair segment data with the Financial Statements API for consolidated income, balance sheet, and cash flow data. Use the Peers Analysis API to benchmark a company's segment mix against competitors.
1. Endpoint & Parameters
Extract operating metrics, regional revenue breakdowns, and product division performance directly from company filings. Provide an API key, the target series, and exactly one identifier (ticker or CIK). Optional parameters let you filter by segment category, switch between annual and quarterly dimensions, or request pre-computed year-over-year growth and percentage-of-total breakdowns.
https://data.businessquant.com/segments?series={series}&{identifier}&mode={mode}&api_key={api_key}
Request Parameters
| Parameter | Description |
|---|---|
| api_key |
Required
Your unique API key for authentication.
|
| series |
Required
The financial metric to retrieve across segments. Common values include Revenue, OperatingIncomeLoss, Assets, CapitalExpenditures, and any other XBRL concept the company reports at the segment level.
Format:
series=Revenue
|
| ticker |
Conditional
Identifier
Stock ticker symbol. (Provide either this or cik).
Format:
ticker=AAPL
|
| cik |
Conditional
Identifier
SEC Central Index Key. (Provide either this or ticker).
Format:
cik=320193
|
| data_format |
Optional
Controls value computation:• original — Raw reported values (Default).• pct — Each subcategory as a percentage of total for that period.• yoy — Year-over-year percentage growth for each subcategory.
Format:
data_format=pct
|
| mode |
Optional
historic returns the full time series. latest returns only the most recent filing period. Default: historic.
|
| dimension |
Optional
Reporting frequency: Annual or Quarter. Default: Annual.
|
| rank_category |
Optional
Filters the hierarchy of segment categories returned:• all — Returns all segment categories (Default).• Or provide comma-separated numeric IDs (e.g., 1,2) to return only specific categories.
|
Response Fields
| Field | Description |
|---|---|
| category | The segment classification group — e.g., "Product and Service", "Geographical", "Segments". Each company defines its own hierarchy. |
| rank_category | Numeric ID for this category. Pass to rank_category parameter to filter. |
| subcategory | The specific segment name within the category — e.g., "Iphone", "Americas", "Google Cloud". |
| period | Fiscal period end date in YYYY-MM-DD format. |
| value | The reported value in the company's filing currency (typically USD). Interpretation depends on data_format: raw dollars for original, percentage for pct, growth rate for yoy. |
| tag | Filing recency indicator. 1 = most recent filing, 2 = prior filing, and so on. |
curl -X GET "https://data.businessquant.com/segments?series=Revenue&ticker=AAPL&mode=latest&api_key=YOUR_API_KEY"
{
"metadata": {
"cik": 1652044,
"ticker": "GOOGL",
"companyname": "Alphabet Inc.",
"companyname_short": "Alphabet",
"dimension": "Annual",
"series": "Revenue",
"data_format": "original",
"mode": "latest",
"rank_category": "all"
},
"data": [
{
"category": "Segments",
"rank_category": 1,
"data": [
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 1,
"subcategory_sno": 2,
"subcategory": "Google Search Other",
"value": 673596000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 1,
"subcategory_sno": 4,
"subcategory": "Google Subscriptions, Platforms, & Devices",
"value": 144090000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 1,
"subcategory_sno": 5,
"subcategory": "Google Network",
"value": 89376000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 1,
"subcategory_sno": 6,
"subcategory": "Youtube Ads",
"value": 121101000000
}
]
},
{
"category": "Geographical",
"rank_category": 2,
"data": [
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 2,
"subcategory_sno": 1,
"subcategory": "United States",
"value": 582687000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 2,
"subcategory_sno": 3,
"subcategory": "Apac",
"value": 203040000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 2,
"subcategory_sno": 5,
"subcategory": "Other Americas",
"value": 71706000000
}
]
},
{
"category": "Segments",
"rank_category": 3,
"data": [
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 3,
"subcategory_sno": 1,
"subcategory": "Google Services",
"value": 673596000000
},
{
"period": "2025-12-31",
"tag": 1,
"category_sno": 3,
"subcategory_sno": 4,
"subcategory": "Other Bets",
"value": 4611000000
}
]
}
]
}
API Response — Revenue Breakdown (Historic)
Apple Inc. (AAPL) · Annual · Historic mode · series=Revenue
| Cat S.No. | Sub S.No. | Subcategory | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Segments | |||||||||
| 1 | Americas | $178.35B | $167.05B | $162.56B | $169.66B | $153.31B | $124.56B | $116.91B | $112.09B | |
| 2 | Europe | $111.03B | $101.33B | $94.29B | $95.12B | $89.31B | $68.64B | $60.29B | $62.42B | |
| 3 | Greater China | $64.38B | $66.95B | $72.56B | $74.20B | $68.37B | $40.31B | $43.68B | $51.94B | |
| 4 | Ipad | — | — | — | — | — | — | — | — | |
| 5 | Mac | — | — | — | — | — | — | — | — | |
| 6 | Japan | $28.70B | $25.05B | $24.26B | $25.98B | $28.48B | $21.42B | $21.51B | $21.73B | |
| 7 | Rest Of Asia Pacific | $33.70B | $30.66B | $29.62B | $29.38B | $26.36B | $19.59B | $17.79B | $17.41B | |
| 8 | Europe | — | — | — | — | — | — | — | — | |
| 9 | Total Mac Net Sales | — | — | — | — | — | — | — | — | |
| 10 | Greater China | — | — | — | — | — | — | — | — | |
| 11 | Itunes, Software & Services | — | — | — | — | — | — | — | — | |
| 12 | Mac Portables | — | — | — | — | — | — | — | — | |
| 13 | Retail | — | — | — | — | — | — | — | — | |
| 14 | Ipod | — | — | — | — | — | — | — | — | |
| 15 | Iphone & Related Products And Services | — | — | — | — | — | — | — | — | |
| 16 | Rest Of Asia Pacific | — | — | — | — | — | — | — | — | |
| 17 | Desktops | — | — | — | — | — | — | — | — | |
| 18 | Ipad & Related Products And Services | — | — | — | — | — | — | — | — | |
| 19 | Accessories | — | — | — | — | — | — | — | — | |
| 20 | Other Music Related Products & Services | — | — | — | — | — | — | — | — | |
| 21 | Japan | — | — | — | — | — | — | — | — | |
| 22 | Software, Service & Other Net Sales | — | — | — | — | — | — | — | — | |
| 23 | Japan | — | — | — | — | — | — | — | — | |
| 24 | Peripherals & Other Hardware | — | — | — | — | — | — | — | — | |
| 2 | Product and Service | |||||||||
| 1 | Iphone | $209.59B | $201.18B | $200.58B | $205.49B | $191.97B | $137.78B | $142.38B | $164.89B | |
| 2 | Iphone | — | — | — | — | — | — | — | — | |
| 3 | Services | $109.16B | $96.17B | $85.20B | $78.13B | $68.43B | $53.77B | $46.29B | $39.75B | |
| 4 | Mac | $33.71B | $29.98B | $29.36B | $40.18B | $35.19B | $28.62B | $25.74B | $25.20B | |
| 5 | Ipad | — | — | — | — | — | — | — | — | |
| 6 | Wearables, Home & Accessories | $35.69B | $37.01B | $39.85B | $41.24B | $38.37B | $30.62B | $24.48B | $17.38B | |
| 7 | Ipad | $28.02B | $26.69B | $28.30B | $29.29B | $31.86B | $23.72B | $21.28B | $18.38B | |
| 8 | Mac | — | — | — | — | — | — | — | — | |
| 9 | Services | — | — | — | — | — | — | — | — | |
| 10 | Other Products | — | — | — | — | — | — | — | — | |
| 11 | Other Products | — | — | — | — | — | — | — | — | |
| 3 | Geographical | |||||||||
| 1 | Other Countries | $199.99B | $181.89B | $172.15B | $172.27B | $163.65B | $125.01B | $114.23B | $115.59B | |
| 2 | U.S | $151.79B | $142.20B | $138.57B | $147.86B | $133.80B | $109.20B | $102.27B | $98.06B | |
| 3 | China | $64.38B | $66.95B | $72.56B | $74.20B | $68.37B | $40.31B | $43.68B | $51.94B | |
| 4 | Segments | |||||||||
| 1 | Operating Segments | $178.35B | $167.05B | $162.56B | — | — | — | — | — | |
| 5 | Disclosure of profit or loss, total assets for each reportable region, and a description of the types of products and services for each reportable region. | |||||||||
| 1 | U.S | — | — | — | — | — | — | — | — | |
| 2 | International | — | — | — | — | — | — | — | — | |
API Response — Revenue Breakdown (Latest Period Only)
Alphabet Inc. (GOOGL) · Annual · Latest mode · series=Revenue
| Cat S.No. | Sub S.No. | Subcategory | 2025 |
|---|---|---|---|
| 1 | Segments | ||
| 2 | Google Search Other | $673.60B | |
| 4 | Google Subscriptions, Platforms, & Devices | $144.09B | |
| 5 | Google Network | $89.38B | |
| 6 | Youtube Ads | $121.10B | |
| 2 | Geographical | ||
| 1 | United States | $582.69B | |
| 3 | Apac | $203.04B | |
| 5 | Other Americas | $71.71B | |
| 3 | Segments | ||
| 1 | Google Services | $673.60B | |
| 4 | Other Bets | $4.61B | |
3. Endpoint Variations
Below are the distinct ways to formulate your request depending on the data format, mode, and identifiers you use.
https://data.businessquant.com/segments?series=Revenue&ticker=AAPL&mode=historic&api_key=YOUR_API_KEY
https://data.businessquant.com/segments?series=Revenue&ticker=AAPL&data_format=pct&api_key=YOUR_API_KEY
https://data.businessquant.com/segments?series=Revenue&ticker=GOOGL&data_format=yoy&api_key=YOUR_API_KEY
https://data.businessquant.com/segments?series=OperatingIncomeLoss&ticker=MSFT&mode=latest&api_key=YOUR_API_KEY
https://data.businessquant.com/segments?series=Revenue&cik=789019&dimension=Quarter&mode=historic&api_key=YOUR_API_KEY
4. Segment Analysis Strategies & Use Cases
The segment financials endpoint goes beyond basic revenue breakdowns. Here are workflows that institutional analysts and quantitative teams commonly build on top of this data.
Use data_format=pct to instantly see what percentage of revenue comes from each region. Flag companies with over 40% exposure to a single geography — that concentration becomes a risk factor during tariff shifts, currency swings, or regional slowdowns.
Track how a company's product-line revenue share shifts over time. Apple's Services segment grew from 15% to over 26% of total revenue across six fiscal years — a structural transformation visible only through multi-year segment data.
Combine with the Stock Screener API to find companies where headline revenue is flat but a specific segment is growing 20%+ YoY. Use data_format=yoy to get pre-computed growth rates without spreadsheet joins.
Query series=OperatingIncomeLoss alongside series=Revenue to calculate operating margins at the segment level. Identify which business units are margin-accretive and which are subsidized by the core business.
Beyond revenue — what other series can I query?
The series parameter accepts any XBRL concept the company discloses at the segment level. Common examples beyond Revenue include OperatingIncomeLoss, Assets, CapitalExpenditures, DepreciationAndAmortization, and Goodwill. The available concepts depend on each company's filing — if they report it by segment, the API returns it.
Frequently Asked Questions
What types of segment data does this API return?
The API returns every segment classification a company reports in its SEC filings: product and service breakdowns (e.g., iPhone, Services, Mac for Apple), geographic revenue by region (Americas, Europe, Greater China), and operating business unit segments (e.g., Google Services vs. Other Bets for Alphabet). It covers revenue, operating income, assets, capital expenditures, and any other XBRL concept disclosed at the segment level.
How is this different from a revenue segmentation API?
Most competitor APIs only provide revenue broken down by product or geography — and often split those into separate endpoints. This API returns all segment categories from a single endpoint, covers metrics beyond revenue (operating income, assets, capex), and includes built-in data_format=yoy and data_format=pct computation modes that eliminate manual spreadsheet work.
Can I get year-over-year growth for each segment without computing it myself?
Yes. Set data_format=yoy and the API returns pre-computed year-over-year percentage growth for every subcategory. Similarly, data_format=pct returns each subcategory's share as a percentage of the period total. No spreadsheet joins or cross-period calculations needed.
How far back does segment data history go?
Coverage extends back to the earliest XBRL-tagged segment disclosures for each company — typically 10 to 15 years for large-cap filers, starting from when they first adopted XBRL tagging in their SEC filings. Apple's geographic segment data, for example, goes back to fiscal year 2008.
Is the Company Segment Financials API free to use?
Yes, the API is free to use. Sign up for an API key and start pulling segment-level revenue, operating income, geographic breakdowns, and more immediately.