Dividend Data

Dividend Data is an innovative financial tool designed to empower dividend and fundamental investors with seamless access to comprehensive stock market data. With over 30 years of historical data encompassing more than 80,000 tickers, Dividend Data integrates effortlessly into Google Sheets and Microsoft Excel, enabling users to extract crucial financial information directly within their spreadsheets without the need for complex API keys or coding. This tool provides real-time insights into dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 additional metrics. It is meticulously crafted by dividend investors for dividend investors, ensuring that the tool addresses the precise needs of its users. With a free tier offering 2,500 monthly credits, Dividend Data democratizes access to institutional-grade financial insights, making it an indispensable resource for anyone serious about investing in dividends.

Free Tier with Generous Credits

Dividend Data offers a free tier that includes 2,500 monthly credits, providing users with ample opportunity to explore its features without any trial expiration. This allows investors to familiarize themselves with the tool and its capabilities at no cost.

Custom Functions for Diverse Needs

The platform boasts 16 custom functions designed specifically for dividend investors. These functions cover everything necessary for thorough stock analysis, allowing users to retrieve various metrics simply by entering a formula, thus streamlining the data collection process.

Extensive Historical Data

With over 30 years of historical stock market data, Dividend Data empowers users to conduct in-depth analyses of market trends and performance. This extensive database is invaluable for investors looking to make informed decisions based on historical performance metrics.

Cross-Platform Compatibility

Dividend Data is designed to work seamlessly in both Google Sheets and Microsoft Excel. This cross-platform functionality ensures that users can access critical financial data in their preferred spreadsheet application, making it versatile and user-friendly.

Dividend Analysis

Investors can utilize Dividend Data to perform detailed analyses of dividend stocks, including examining historical dividend yields and payout ratios. This functionality enables informed decision-making regarding dividend investments.

Financial Statement Evaluation

By leveraging the tool's extensive financial metrics, users can evaluate company performance through financial statements and ratios, providing a holistic view of potential investments.

Portfolio Tracking

Dividend Data allows users to automatically track their dividend portfolios, providing real-time insights into earnings, dividend payments, and overall portfolio performance. This feature simplifies the management of investments.

Market Research

Fundamental investors can harness Dividend Data to conduct comprehensive market research on over 80,000 tickers, analyzing various financial aspects to identify potential investment opportunities and make data-driven decisions.

How does Dividend Data integrate with Google Sheets and Excel?

Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel through add-ons, allowing users to access live financial data directly within their spreadsheets by using simple formulas.

Is there a trial period for the free tier?

No, Dividend Data offers a free tier with 2,500 monthly credits that does not expire, allowing users to continue utilizing the service without any time constraints or hidden fees.

What kind of data can I access with Dividend Data?

Users can access a wide range of financial data, including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and price history—all through a simple formula structure.

Who is Dividend Data designed for?

Dividend Data is tailored for dividend and fundamental investors who seek efficient access to extensive stock market data without the complexities and costs typically associated with institutional-grade financial tools.