Path Parameters
| Name | Type | Example | Description |
|---|---|---|---|
| symbol | string | AAPL | Stock ticker |
Auth
headers: { 'Authorization': 'Replace with your API token' }
Examples
fetch('https://api.gurufocus.com/data/stocks/AAPL/segment', { method: 'GET', headers: { 'Authorization': 'Replace with your API token' }})
Responses
Successful response. The exact payload fields depend on this endpoint.
Example Body (Field Reference)
{ "annually": [ { "date": "2019-09", "segment_business": { "Mac": "25740", "Services": "46291", "Wearables, Home and Accessories": "24482", "iPad": "21280", "iPhone": "142381" }, "segment_geographic": { "Americas": "14648", "Europe": "60288", "Greater China": "43678", "Japan": "21506", "Rest of Asia Pacific": "17788", "United States": "102266" } }, { "date": "... and more data points ..." }, { "date": "2025-09", "segment_business": { "Mac": "33708", "Services": "109158", "Wearables, Home and Accessories": "35686", "iPad": "28023", "iPhone": "209586" }, "segment_geographic": { "Americas": "26563", "Europe": "111032", "Greater China": "64377", "Japan": "28703", "Rest of Asia Pacific": "33696", "United States": "151790" } } ], "basic_information": { "company": "Apple Inc", "company_id": "GF000003JX", "exchange": "NAS", "stockid": "US01WD", "symbol": "AAPL" }, "quarterly": [ { "date": "2021-03", "segment_business": { "Mac": "9102", "Services": "16901", "Wearables, Home and Accessories": "7836", "iPad": "7807", "iPhone": "47938" }, "segment_geographic": {} }, { "date": "... and more data points ..." }, { "date": "2025-12", "segment_business": { "Mac": "8386", "Services": "30013", "Wearables, Home and Accessories": "11493", "iPad": "8595", "iPhone": "85269" }, "segment_geographic": {} } ], "stockid": "US01WD", "ttm": { "date": "2025-12", "segment_business": { "Mac": "33107", "Services": "112831", "Wearables, Home and Accessories": "35432", "iPad": "28530", "iPhone": "225717" }, "segment_geographic": {} }}
Introduction
The GuruFocus Segment Data Dataset provides structured access to product and geographic revenue breakdowns across thousands of public companies. Whether you’re building visual analytics, refining stock research tools, or constructing macro-to-micro investment models, this dataset delivers unmatched insight into where a company’s money truly comes from.
Collected directly from company filings, the dataset supports advanced segmentation analysis, regional trend tracking, and multi-dimensional financial modeling—all critical for understanding diversification, risk exposure, and business strategy.
What’s Included
The Segment Dataset is grouped into two primary categories:
- Geographic Segment Data
Includes revenue by region (e.g., North America, EMEA, Asia-Pacific) and country-level revenue where disclosed, allowing users to track geographic exposure, regional growth trends, and macroeconomic sensitivity. - Product & Business Line Data
Provides revenue segmented by product category, service line, brand, or business unit. Includes share of total revenue, year-over-year growth trends, and historical performance tracking.
Data Coverage
| Regions | Total Company Count | Total Stock Count | History |
|---|---|---|---|
| USA | 12,000+ | 35,000+ | 2019 (Quarterly since 2021) |
| Asia | 27,000+ | 32,000+ | 2019 (Quarterly since 2021) |
| Europe | 10,000+ | 47,000+ | 2019 (Quarterly since 2021) |
| UK/Ireland | 2,600+ | 12,000+ | 2019 (Quarterly since 2021) |
| Canada | 3,500+ | 4,700+ | 2019 (Quarterly since 2021) |
| Oceania | 2,400+ | 4,700+ | 2019 (Quarterly since 2021) |
| Africa | 1,300+ | 1,500+ | 2019 (Quarterly since 2021) |
| Latin America | 2,000+ | 6,500+ | 2019 (Quarterly since 2021) |
| India/Pakistan | 5,900+ | 8,100+ | 2019 (Quarterly since 2021) |
Use Cases
This dataset’s ideal for:
- Investment platforms: Add granular visualizations of company revenue composition
- Fintech developers: Enhance dashboards and research tools with geographic or product exposure insights
- Data scientists and quant teams: Analyze business concentration, diversification risk, and exposure to global macro trends
- Institutional analysts: Track key segment trends across industries or compare peers
- Academic researchers: Study business model evolution or perform regional economic impact analysis
Extend Your Capabilities
Combine the Segment Data Dataset with other GuruFocus data modules:
- Fundamental Dataset – Core financial statements for deep financial modeling
- Ranking Dataset – Proprietary scoring systems assessing company quality and performance
- Valuation and Ratios Dataset – Time-series multiples, yields, and quality metrics
All datasets follow a consistent structure and are accessible through unified API endpoints.
Response Reference
Different companies may report different segment data fields depending on their business structure and disclosure practices.
| Display Name | Field Name | Data Type |
|---|---|---|
| Date | date | date format: 2006-01 |
| Business Segment | segment_business | object |
| Geographic Segment | segment_geographic | object |