What is Dividend Data? Best Datasets & Databases for Dividend History Data
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- FAQ
On This Page:
- 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 Forecast Dividend Data - Dividend Data, Alternative Data, Derivatives Data, Equity Market Data, Stock Market Data and Equities & ADRs
Corporate Data – 250K+ Stocks/ISINs on Corporate Actions Data, Merger & Acquisition Data, and Dividend Data for 15+ History and Refreshes Globally
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
Tradefeeds Historical Dividends API
Historical Dividends API by Finnworlds
IvyDB Implied Dividend - Options Data, Options Data, Dividend Data and Trading Data
Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers
TagX - Stock market data | End of Day Pricing Data | Shares, Equities & bonds | Global Coverage | 10 years historical data
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top Dividend Data Providers & Companies
-
OptionMetrics
CoverageUSAUK+63With 25 years as the premier provider of historical options and implied volatility data, OptionMetrics distributes its options, futures, beta, and dividend forecast databases to leading portfolio managers, traders, and quantitative researchers at 350+ corporate and academic institutions worldwide.350+Institutions and Universities -
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.
-
InfoTrie
CoverageUSAUK+248InfoTrie: Global Data Intelligence Leader since 2012. Unleash insights from unstructured data. Alternative datasets on E-commerce, SEC Filings, B2B Data, Sentiment Analysis, Job Postings, Corporate & Financial Data, News & Social Media, iFeed API, DocuTrie & Custom Pipelines. Request a quote now!70000Asset Classes20+Languages5000+Active Users -
Wall Street Horizon
CoverageUSAUK+247Wall Street Horizon provides institutional traders and investors with the most accurate, comprehensive corporate event data including earnings calendars, dividend dates, option expiration dates, splits, investor conferences and more. Covering more than 7,000 companies worldwide, we offer more than 40 event types via a range of delivery options from machine-readable files to API solutions to streaming feeds. By keeping clients apprised of critical market-moving events and event revisions, our data empowers financial professionals to take advantage of or avoid the ensuing volatility.
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 ticker symbol of a stock. | View 9 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 6 datasets | |
| String | The International Securities Identification Number (ISIN). | View 4 datasets | |
| String | The last name (surname) of a contact. | View 3 datasets | |
| String | The currency code as per ISO 4217. | View 3 datasets | |
| Integer | An unique identifier (ID) of a company. | 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.
