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Best Dividend Datasets to use in 2025

Dividend datasets refer to structured and comprehensive collections of information related to dividend payments made by companies to their shareholders. These datasets typically include details such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant information. Dividend datasets are valuable for investors, financial analysts, and researchers seeking to analyze dividend trends, assess the financial health of companies, and make informed investment decisions. By providing access to dividend datasets, the Datarade Marketplace enables users to easily discover, evaluate, and acquire the data they need to gain insights into dividend payments across various industries and markets.

27 results
Logo of Exchange Data International

Woodseer Dividend Forecasting Global (25k+ securities, 1000+ indices)

by Exchange Data International
Available in
USA
Canada
Logo of Woodseer Global

Woodseer Dividend Forecast Data

by Woodseer Global
Stock Ticker
ISIN
Currency Code
Country Code Alpha-2
Company Name
and 1 more attribute
Available in
USA
UK
Germany
France
Italy
and 102 more countries
Logo of Cbonds

Global Corporate Actions Stock Data | Stock Reference Data | Dividends and Splits | 80K stocks

by Cbonds
4.9
Stock Ticker
ISIN
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Finnworlds

Historical Dividends API by Finnworlds

by Finnworlds
Available in
USA
UK
Germany
France
Italy
and 48 more countries
Logo of Tradefeeds

Tradefeeds Historical Dividends API

by Tradefeeds
Available in
USA
Logo of TagX

TagX - ETF Data | Realtime & Historic Data | Global End of Day/Closing ETF Data | Mutual Funds Data

by TagX
4.9
Available in
USA
UK
Germany
France
Italy
and 235 more countries
Logo of Exchange Data International

Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers

by Exchange Data International
Available in
USA
UK
Germany
France
Italy
and 235 more countries
Logo of Woodseer Global

Woodseer ETF Dividend Forecast Data

by Woodseer Global
Stock Ticker
ISIN
Currency Code
Country Code Alpha-2
Company Name
and 1 more attribute
Available in
USA
UK
Germany
France
Italy
and 102 more countries
Logo of Cbonds

Global ETF Data | ETF Dividends | Reference ETF data | ETF Holdings | 9K ETF

by Cbonds
4.9
Stock Ticker
ISIN
Currency Code
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Finage

Financial Statements Fundamental Data API

by Finage
Available in
USA
Germany
France
India
China
and 1 more country
  1. What are dividend datasets?
    Dividend datasets refer to structured and comprehensive collections of information related to dividend payments made by companies to their shareholders. These datasets typically include details such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant information.

  2. Who can benefit from dividend datasets?
    Dividend datasets are valuable for investors, financial analysts, and researchers seeking to analyze dividend trends, assess the financial health of companies, and make informed investment decisions.

  3. What information is included in dividend datasets?
    Dividend datasets typically include information such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant details. The datasets may also provide additional information such as the company’s industry, market capitalization, and historical dividend data.

  4. How can dividend datasets be used?
    Dividend datasets can be used to analyze dividend trends, compare dividend payments across companies and industries, assess the financial health of companies, and make informed investment decisions. They can also be used for research purposes, such as studying the impact of dividends on stock prices or analyzing dividend policies of different companies.

  5. Where can I find dividend datasets?
    The Datarade Marketplace provides access to a wide range of dividend datasets from various data providers. Users can easily discover, evaluate, and acquire the data they need to gain insights into dividend payments across various industries and markets.

  6. How can I evaluate the quality of dividend datasets?
    When evaluating the quality of dividend datasets, it is important to consider factors such as the accuracy and completeness of the data, the frequency of updates, the reputation and reliability of the data provider, and any additional features or value-added services offered with the dataset.