Dividends are a crucial factor in making an investment decision and Benzinga is committed to keeping our clients informed with our robust, proprietary dividend dataset. Benzinga is a key player in predicting accurate future ex-dividend rates, record dates, and pay dates. Our clients rely heavily upon the accuracy of our data to best position their portfolios to meet their investment goals.
A company’s future dividend date is predicted through our proprietary algorithm, and cross-referenced by our data analysts. As the ex-dividend date approaches, our team of analysts work to ensure any company announcements are reflected in the dataset.
Data field descriptions
|ID||Unique ID of the output|
|name||Company name of the security|
|exchange||Exchange the security is traded on|
|frequency||Annual dividend frequency occurrence (4 = quarterly)|
|dividend||Dividend amount per share|
|dividend_prior||Dividend that was issued prior|
|dividend_type||Type of issuance (cash or stock)|
|dividend_yield||Dividend expressed as a percentage of a current share price|
|ex_dividend_date||Date of the ex-dividend Format: YYYY-MM-DD|
|payable_date||Date of the payable dividend Format: YYYY-MM-DD|
|record_date||Date of the record date Format: YYYY-MM-DD|
|importance||Importance of the action (scale of 0-5) 0 = least important|
|updated||Last updated timestamp (UNIX)|
Benzinga’s data samples are intended to provide a data sample large enough for testing data quality and application for the financial markets. These sample files demonstrate a sample of the formats and content that can be delivered.
Please refer to docs.benzinga.io for all your API integration needs, including parameter queries and a look at our entire offerings.