Dividend Data vs EliteReads

Side-by-side comparison to help you choose the right AI tool.

Dividend Data instantly delivers stock dividends, prices, and financials directly into your Google Sheets or Excel spreadsheets.

Last updated: March 11, 2026

Discover 2,500+ book recommendations from 150 elite thinkers to fuel your personal and professional growth.

Last updated: February 28, 2026

Visual Comparison

Dividend Data

Dividend Data screenshot

EliteReads

EliteReads screenshot

Feature Comparison

Dividend Data

Extensive Custom Spreadsheet Functions

Dividend Data provides a specialized library of 16+ custom functions, such as DIVIDENDDATA_DIVIDENDS and DIVIDENDDATA_RATIOS, that act as direct conduits to live financial data. Users simply type these formulas into any cell, referencing a stock ticker and desired metric, and the platform instantly populates the cell with accurate, updated information. This transforms static spreadsheets into dynamic, auto-updating financial dashboards, covering everything from forward dividend yields and ex-dates to P/E ratios and diluted EPS.

Deep Historical & Fundamental Data Library

The platform grants users access to a vast repository of over 30 years of historical market data. This is not limited to price history but extends deeply into fundamental analysis, including decades of dividend payments, annual and quarterly financial statements, and hundreds of key financial ratios. This long-term perspective is crucial for conducting thorough trend analysis, assessing a company's financial resilience through cycles, and building robust valuation models based on historical performance.

Multi-Platform Spreadsheet Integration

A key operational feature is its seamless compatibility with both Google Sheets and Microsoft Excel. Users are not locked into a single ecosystem; they can leverage Dividend Data's capabilities within their preferred spreadsheet environment. The add-ins are officially available on the Google Workspace Marketplace and Microsoft AppSource, ensuring easy installation, secure operation, and smooth performance whether working in the cloud with Sheets or locally with Excel.

AI-Powered Research & Portfolio Tools

Beyond spreadsheets, Dividend Data offers a web-based Terminal featuring advanced tools like an AI Analyst. This assistant can answer complex investment questions, generate research reports, and provide insights based on the platform's extensive dataset. Coupled with automated portfolio tracking that aggregates holdings, calculates projected income, and visualizes performance, it creates a holistic research and management suite for the modern investor.

EliteReads

Curated Book Recommendations

EliteReads offers a meticulously curated collection of book recommendations sourced from interviews, podcasts, and public reading lists of influential leaders. This ensures that every suggestion is grounded in authenticity and relevance.

Extensive Library Access

With over 2,500 book picks available, users have access to a vast library that spans diverse topics such as business, psychology, technology, and self-improvement. This extensive collection caters to a wide range of interests and learning objectives.

Leader Insights

Users can explore insights and recommendations from over 150 elite minds, allowing them to discover not just what to read, but also the thought processes behind why these leaders value certain books. This feature fosters a deeper understanding of literature's impact on success.

User-Friendly Search and Filter Options

The platform's intuitive search and filter capabilities enable users to easily navigate through recommendations by leader or topic. This streamlined experience ensures that users can quickly find literature that resonates with their personal and professional aspirations.

Use Cases

Dividend Data

Building a Dividend Growth Screening Model

Investors focused on dividend growth can use Dividend Data to create a powerful screening spreadsheet. By using functions to pull dividend growth rates, payout ratios, and earnings history for thousands of stocks, they can instantly filter for companies with a history of consistent, sustainable dividend increases. This automates the initial discovery phase, allowing for rapid identification of candidates that meet specific criteria for further due diligence.

Automating Monthly Portfolio Income Reports

For income-focused investors, manually tracking dividend payments across a portfolio is tedious. With Dividend Data, users can build a master portfolio sheet where each holding's ticker automatically pulls the next ex-dividend date, payment date, and declared dividend amount. This sheet can then forecast monthly and annual income, update live, and provide a clear, always-current view of cash flow expectations without any manual data entry.

Conducting Comparative Fundamental Analysis

Analysts and serious investors can perform deep-dive comparisons between companies. By using functions to pull side-by-side data on metrics like ROE, debt-to-equity, profit margins, and valuation multiples, they can build comprehensive comparison tables. The 30+ years of data allow for analyzing how these metrics have evolved over time, providing context that is essential for determining relative strength and long-term operational efficiency.

Creating Dynamic Financial Dashboards

Financial educators, bloggers, or investment club leaders can use Dividend Data to create interactive dashboards. They can build sheets that display key real-time stats for a watchlist, such as current price, dividend yield, and P/E ratio, which refresh automatically. This turns a simple spreadsheet into a live monitoring tool, perfect for presentations, educational content, or keeping a group informed with up-to-the-minute data.

EliteReads

For Aspiring Entrepreneurs

EliteReads serves as a vital resource for aspiring entrepreneurs seeking guidance and wisdom from successful leaders. By accessing curated book recommendations, they can gain insights that help shape their business strategies and decision-making processes.

For Lifelong Learners

Individuals committed to lifelong learning can utilize EliteReads to discover books that inspire and educate. The platform's curated selections help learners identify literature that aligns with their personal growth and intellectual exploration.

For Leaders Seeking Development

Established leaders looking to enhance their skills and knowledge can leverage EliteReads to find books recommended by their successful peers. This allows them to stay informed and inspired by the literature that has influenced the best in their fields.

For Book Clubs and Discussion Groups

Book clubs can benefit from EliteReads by selecting titles that have gained traction among influential thinkers. The platform's curated recommendations provide a basis for stimulating discussions and shared learning experiences within these groups.

Overview

About Dividend Data

Dividend Data is a powerful financial data platform designed to democratize access to institutional-grade stock market information. At its core, it is a spreadsheet add-in that seamlessly integrates over 30 years of historical and real-time data for more than 80,000 tickers directly into Google Sheets and Microsoft Excel. The product eliminates the traditional barriers of complex APIs, coding requirements, and manual copy-pasting, delivering data through simple, custom formulas. Built specifically by and for dividend and fundamental investors, it provides instant access to a comprehensive suite of metrics including dividend histories, yields, payout ratios, growth rates, complete financial statements, earnings reports, valuation ratios, and price action. Its unique value proposition lies in its unparalleled ease of use combined with deep, reliable data, offering a professional analysis toolkit at a fraction of the cost of institutional terminals. With a generous free tier and robust paid plans, it serves both individual retail investors and professional analysts who seek to make informed, data-driven investment decisions without the steep learning curve or exorbitant price tag.

About EliteReads

EliteReads is a pioneering digital platform designed to bridge the gap between ambitious readers and the curated book recommendations of some of the world's most influential leaders. By collating insights from over 150 elite minds, including renowned figures like Elon Musk, Bill Gates, and Oprah Winfrey, EliteReads provides access to a comprehensive library of more than 2,500 carefully selected book picks. The recommendations are derived from verified interviews, podcasts, and published reading lists, ensuring that users receive authentic insights that have fundamentally shaped the thinking of successful leaders. This platform is tailored for founders, entrepreneurs, and lifelong learners who are eager to expand their knowledge and foster personal growth through reading. With its user-friendly interface, users can effortlessly search and filter recommendations based on leader, topic, or book title, transforming EliteReads into an invaluable resource for those seeking to enhance their intellectual journeys.

Frequently Asked Questions

Dividend Data FAQ

How does the free tier work and what are credits?

The free tier provides 2,500 credits per month that never expire, with no credit card required to start. Each data request made via a spreadsheet function consumes a small number of credits (typically 1-2 per call). This generous allowance allows users to perform substantial analysis and automation for free. It's designed to let investors fully test the platform's capabilities in their real-world workflows without a time-limited trial.

What kind of data can I access with the spreadsheet functions?

You can access a vast array of data points spanning dividends, quotes, fundamentals, and ratios. Specific examples include forward and historical dividend amounts/yields, ex-dividend and payment dates, current stock price, 30+ years of price history, complete financial statement items (revenue, EPS, cash flow), and over 100 pre-calculated financial ratios like P/E, P/B, and ROIC. The documentation provides a full list of all available metrics for each function.

Do I need to know how to code or set up an API?

Absolutely not. Dividend Data is built specifically to require zero coding or technical setup. There are no API keys to manage. After installing the add-in from the Google Workspace or Microsoft AppSource store, you simply use the provided custom formulas directly in your spreadsheet cells as you would any native function like =SUM(). The complexity of data sourcing and management is handled entirely in the background.

Is my data and portfolio information secure?

Yes. Dividend Data takes security seriously. The connection between your spreadsheet and their servers is secure. When using the portfolio tracking features in the Pro Terminal, your holdings data is stored privately. The company has a clear privacy policy and terms of use. Furthermore, as an official add-in listed on Google and Microsoft's marketplaces, it adheres to these platforms' security and compliance standards.

EliteReads FAQ

How does EliteReads curate book recommendations?

EliteReads curates book recommendations by sourcing them from verified public interviews, podcasts, and published reading lists. Each endorsement is traced back to a specific leader and source, ensuring that the recommendations are authentic and trustworthy.

The elites featured on EliteReads include over 150 influential figures from various fields, including technology, business, and self-improvement. Notable names include Elon Musk, Bill Gates, and Oprah Winfrey, among others.

How are recommendations verified?

Recommendations are verified through a meticulous process that traces each endorsement to credible sources. This includes interviews, podcasts, and social media posts, ensuring that users receive accurate and reliable information.

While the most recommended book can vary, titles like "Sapiens: A Brief History of Humankind" often appear at the top due to their frequent endorsements by multiple elite minds, reflecting their broad appeal and influence.

Alternatives

Dividend Data Alternatives

Dividend Data is a specialized financial data tool that provides extensive dividend and fundamental stock information directly within spreadsheet applications like Google Sheets and Excel. It falls into the category of self-service investment research platforms, designed to empower individual investors with deep, historical data sets. Users often explore alternatives for various reasons. Some may have specific budget constraints or require a different pricing model, while others might need features tailored to different investment strategies, such as technical analysis or real-time alerts. Platform compatibility is another key factor, as some investors prefer web-based dashboards, mobile apps, or integration with other software beyond spreadsheets. When evaluating other options, consider the depth and historical range of the data offered, the ease of access and integration into your existing workflow, and the overall cost relative to the value provided. The ideal solution should align with your primary investment methodology, whether it's dividend growth, value investing, or broader market analysis, without unnecessary complexity or expense.

EliteReads Alternatives

EliteReads is a digital platform that specializes in providing curated book recommendations from over 150 influential thinkers, such as Elon Musk and Bill Gates. It falls under the personal development category, aiming to connect readers with literature that has profoundly impacted the lives and careers of successful leaders. Users often seek alternatives to EliteReads due to various reasons, such as pricing concerns, the desire for additional features, or specific platform needs that may not be fully met by EliteReads. When searching for an alternative, it's essential to consider factors such as the breadth of book recommendations, the credibility of the sources, user experience, and the overall value offered. A good alternative should provide a similar level of curation and insight while catering to individual preferences and learning goals.

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