What is Dividend Data? Best Datasets & Databases for Dividend History Data
- Overview
- Datasets
- Providers
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- FAQ
What is Dividend Data?
Dividend data refers to information related to the dividends paid by a company to its shareholders. It includes details such as the dividend amount, payment date, ex-dividend date, and dividend yield. This data is important for investors as it helps them assess the financial health and profitability of a company, and make informed decisions regarding their investment portfolios.
Examples of dividend data include the amount of dividends paid, the dates of dividend payments, and the dividend yield. Dividend data is used by investors and analysts to assess the financial health and performance of a company, make investment decisions, and calculate dividend income. In this page, you’ll find the best data sources for dividend data, dividend history data, historical dividend data, dividenddata, dividend database, and download dividend history.
Best Dividend Databases & Datasets
Here is our curated selection of top Dividend Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Woodseer Dividend Forecasting Global (25k+ securities, 1000+ indices)
Global Corporate Actions Stock Data | Stock Reference Data | Dividends and Splits | 80K stocks
Woodseer Dividend Forecast Data
Historical Dividends API by Finnworlds
Tradefeeds Historical Dividends API
TagX - ETF Data | Realtime & Historic Data | Global End of Day/Closing ETF Data | Mutual Funds Data
Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers
Global ETF Data | ETF Dividends | Reference ETF data | ETF Holdings | 9K ETF
Woodseer ETF Dividend Forecast Data
TagX - Stock market data | End of Day Pricing Data | Shares, Equities & bonds | Global Coverage | 10 years historical data
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Top Dividend Data Providers & Companies
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Exchange Data International
CoverageUSAUK+248With EDI you get high quality, affordable financial data customized to precisely fit your operational requirements.ISO9001CertifiedISO27001Certified1.5 mSecurities -
Cbonds
CoverageUSAUK+248VWe use the Cbonds API and are very satisfied with the data quality and the interface. Everything works smoothly, and the support has been reliable. We appreciate the service and look forward to continuing our cooperation.
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Tradefeeds
CoverageUSAUK+247Tradefeeds is a financial service software company that provides real-time and historical company, financial and alternative data, accessed via seamless API integration. A diverse product portfolio with 100% accurate data sourced from reliable partners such as SEC, company official websites, etc.
Main Attributes of Dividend Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The International Securities Identification Number (ISIN). | View 4 datasets | |
| String | The ticker symbol of a stock. | View 4 datasets | |
| String | The currency code as per ISO 4217. | View 3 datasets | |
| Integer | An unique identifier (ID) of a company. | View 2 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 2 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 2 datasets |
Frequently Asked Questions
How is the Quality of Dividend Data Maintained?
The quality of Dividend Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Dividend Data Updated?
The update frequency for Dividend Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Dividend Data Secure?
The security of Dividend Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Dividend Data Delivered?
Dividend Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Dividend Data.
How Much Does Dividend Data Cost?
The cost of Dividend Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Dividend Data for your needs.
