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
date Datestamp
isin ISIN identifier
ticker Ticker symbol
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.