Dividend Data

What is Dividend Data?

Dividend data is data information about the current and historical dividend of a particular share or stock. Dividend data enables you to acquire insights on how profitable a stock market is. The recent dividend of the stock correlates with how the company performed. Dividends are the surplus profit distributed to shareholders. This is an indicator that the company is doing well in the market. Also, a company’s historical dividends are important for investors to analyze how it performed in the past. Having accurate dividend data allows you to plan your investment strategy with an upper hand.

How is Dividend Data collected?

Dividend data is collected from different sources:
Stock exchange: To encourage and inform investor, stock exchanges publish dividend timetables of all stocks they cover.
Securities and Exchange Commission: SEC requires all publicly-traded companies to publish dividend reports to all investors.
Brokerage Firms: Brokers have a list of all information you want to know about a company, including the dividend payouts.
Apps and Financial news station: You can also collect public dividend information on the internet. Many news sites offer financial information, like Morningstar or The Wall Street Journal.

What are the attributes of Dividend Data?

The dividend data attributes may include ratios of dividend payout, dividend coverage, free cash flow to equity, and Net Debt to EBITDA .

Dividend payout: This indicates the percentage of a company’s annual earnings per share that the company will pay in dividends per share in cash.
Dividend coverage: This indicates a company’s availability to pay dividends with its net income in a particular fiscal period.
Free cash flow to equity: This measures the volume of cash that will be given to stockholders after all expenses and liabilities have been settled.
Net Debt to EBITDA: This measures a company’s leverage and capacity to meet its debt.

What is Dividend Data used for?

Investors and traders use this data to compare different dividend stocks. A dividend is an indicator of a company’s sales performance. Investors analyze dividend data to predict future dividends price. The archived dividend data also helps investors and traders when deciding whether to hold onto a particular stock. Having accurate dividend data saves them time and money in this decision-making process.

How can a user assess the quality of Dividend Data?

High-quality providers of dividend stock data must elaborately and precisely express where they get and collect their data - it can’t just be speculative or supposed information. Raw dividend data is accessible online, so a data provider must provide information on how they clean their data. The best data provider also will offer great customer service. You might also read reviews and ask for a sample if applicable.

Who are the best Dividend Data providers?

Finding the right Dividend Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Dividend Data providers that you might want to buy Dividend Data from are Woodseer Global, TOP DIVIDENDS, Barchart, CEIC Data, and Bloomberg.

Where can I buy Dividend Data?

Data providers and vendors listed on Datarade sell Dividend Data products and samples. Popular Dividend Data products and datasets available on our platform are QUICK IR News Bulettin by QUICK, Adjustment Factors by Exchange Data International, and Worldwide Corporate Actions by Exchange Data International.

How can I get Dividend Data?

You can get Dividend Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Dividend Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Dividend Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Dividend Data?

Dividend Data is similar to Bond Data, Fixed Income Reference Data, Fixed Income Pricing Data, and Bond Pricing Data. These data categories are commonly used for Dividend Data analytics.