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Best Dividend APIs for Financial Analysis

Dividend APIs are application programming interfaces that provide access to datasets related to dividend payments. These APIs allow developers and data analysts to retrieve dividend data, such as dividend yield, dividend payout ratio, ex-dividend dates, and dividend history, from various sources. Dividend data is crucial for investors and financial professionals as it helps them assess the financial health and performance of companies, make informed investment decisions, and track dividend income. By utilizing dividend APIs, users can easily integrate this valuable data into their own applications, platforms, or investment tools, enabling them to stay up-to-date with dividend-related information and enhance their financial analysis capabilities.

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 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 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 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 Exchange Data International

Global Corporate Actions Data for Shares | Stocks | Equities | incl. Dividends, Splits, Spin-offs and more

by Exchange Data International
Available in
USA
UK
Germany
France
Italy
and 235 more countries

What are dividend APIs?

Dividend APIs are application programming interfaces that provide access to datasets related to dividend payments.

What kind of data can be retrieved using dividend APIs?

Dividend APIs allow developers and data analysts to retrieve dividend data, such as dividend yield, dividend payout ratio, ex-dividend dates, and dividend history, from various sources.

Why is dividend data important for investors and financial professionals?

Dividend data is crucial for investors and financial professionals as it helps them assess the financial health and performance of companies, make informed investment decisions, and track dividend income.

How can users benefit from utilizing dividend APIs?

By utilizing dividend APIs, users can easily integrate this valuable data into their own applications, platforms, or investment tools, enabling them to stay up-to-date with dividend-related information and enhance their financial analysis capabilities.

Can dividend APIs be used for real-time data retrieval?

Yes, dividend APIs can provide real-time data retrieval, allowing users to access the most up-to-date dividend information.

Are there any limitations or restrictions when using dividend APIs?

The limitations and restrictions of dividend APIs may vary depending on the provider. Some APIs may have usage limits, require authentication, or charge fees for access to certain datasets. It is important to review the documentation and terms of service of each API provider to understand any limitations or restrictions.