Dividend Data vs QuickData.ai
Side-by-side comparison to help you choose the right tool.
Dividend Data
Access real-time stock data, including dividends and financials, with 30+ years of history in Google Sheets and Excel instantly.
Last updated: March 11, 2026

QuickData.ai
QuickData.ai automates rent roll and T12 data entry into Excel, accelerating multifamily deal underwriting by 10x.
Last updated: March 1, 2026
Visual Comparison
Dividend Data

QuickData.ai

Feature Comparison
Dividend Data
Free Tier with Monthly Credits
Dividend Data offers a generous free tier that includes 2,500 monthly credits, allowing users to explore the platform without any trial expiration. This makes it accessible for both casual and serious investors who want to analyze financial data without upfront costs.
Custom Functions for Dividend Investors
The tool boasts 16 custom functions that cater specifically to the needs of dividend investors. These functions cover a wide range of financial metrics, enabling users to gather detailed insights into stock performance and dividend distributions effortlessly.
Extensive Historical Data
With over 30 years of historical data available, Dividend Data allows investors to conduct comprehensive analyses and track trends over significant periods. This wealth of information empowers users to make informed investment decisions based on long-term performance insights.
Cross-Platform Compatibility
Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel, ensuring that users can access their investment data on the platform they prefer. This versatility enhances user experience and facilitates data analysis through familiar spreadsheet tools.
QuickData.ai
Multifamily Excel Model Integration
QuickData.ai seamlessly integrates with existing Excel models, allowing users to leverage the tool without overhauling their current systems. This feature ensures that all data extracted is directly applicable to ongoing analyses, enhancing efficiency and accuracy.
Automated Data Extraction
With QuickData.ai, multifamily professionals can automate the data entry process for T12 and Rent Rolls, significantly reducing the time spent on these tasks. The tool intelligently extracts essential financial metrics, ensuring that users can focus on analysis rather than data entry.
Comprehensive Onboarding Support
New users benefit from free 1:1 onboarding support, making it easy to get started with QuickData.ai. This personalized guidance ensures that professionals can fully leverage the tool's capabilities right from the outset, minimizing the learning curve.
Flexible Trial and Cancellation Options
QuickData.ai offers a hassle-free 14-day trial period, allowing users to test the tool’s features without commitment. Additionally, users can cancel anytime, providing the flexibility that modern professionals need in their software solutions.
Use Cases
Dividend Data
Dividend Tracking and Analysis
Investors can utilize Dividend Data to track their dividend income and growth rates effectively. By employing custom formulas, users can assess the sustainability of dividends and make adjustments to their portfolios as necessary.
Financial Performance Evaluation
Using Dividend Data, fundamental investors can evaluate the financial health of various companies by accessing a range of ratios and metrics. This enables them to compare stocks and identify investment opportunities based on solid financial foundations.
Portfolio Management
With the portfolio tracking feature, users can automatically link their portfolios and view aggregate statistics. This allows investors to monitor overall performance and make informed decisions about rebalancing their investments.
Research and Insights
Dividend Data serves as an essential research tool, allowing investors to conduct in-depth analyses of stocks. By leveraging the AI-powered research assistant, users can gain valuable insights and enhance their investment strategies with up-to-date information.
QuickData.ai
Streamlining Underwriting Processes
QuickData.ai is ideal for acquisitions teams looking to streamline their underwriting processes. By automating data entry from complex documents, teams can significantly reduce the time spent on preparing financial analyses.
Enhancing Accuracy in Financial Modeling
Brokers and lenders can utilize QuickData.ai to enhance the accuracy of their financial models. The tool minimizes human error by automating data extraction, allowing professionals to trust the figures they are working with.
Increasing Deal Analysis Capacity
With the time saved through automated data entry, accounting firms can analyze a higher volume of deals. This capability helps firms stay competitive in the fast-paced real estate market, where the ability to act quickly can make all the difference.
Accelerating Investment Decision-Making
Investors can leverage QuickData.ai to accelerate their investment decision-making processes. By obtaining accurate financial data in minutes, they can evaluate more opportunities and make informed decisions faster than ever before.
Overview
About Dividend Data
Dividend Data is a powerful tool designed specifically for dividend and fundamental investors, providing them with seamless access to over 30 years of stock market data for more than 80,000 tickers. This innovative solution integrates directly into Google Sheets and Microsoft Excel, allowing users to retrieve vital financial information without the need for API keys, coding, or tedious copying and pasting. With Dividend Data, investors can quickly access crucial metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and price history through simple custom formulas. Just type in a formula, and the data appears live, making it an essential resource for anyone looking to enhance their investment strategy. Built by a dividend investor for dividend investors, Dividend Data stands out with its user-friendly interface and comprehensive features, ensuring that users gain access to institutional-grade data at a fraction of the cost.
About QuickData.ai
QuickData.ai is an essential AI-powered Excel add-in specifically designed for multifamily real estate professionals, addressing the critical pain points of the underwriting process. Manual data entry is not only tedious but also prone to errors, which can lead to costly mistakes. QuickData.ai automates the extraction, parsing, and population of crucial financial data from complex documents such as Rent Rolls, T12 statements, and Offering Memorandums directly into existing Excel underwriting models. This innovative tool is tailored for acquisitions teams, brokers, lenders, and accounting firms, significantly streamlining workflows. By transforming a time-consuming task that typically takes hours into a seamless one-click operation that can be completed in minutes, QuickData.ai delivers an average savings of 15 hours per month for each analyst. This enables professionals to analyze more deals with enhanced accuracy and accelerates investment decision-making. In a competitive real estate environment where speed and precision are vital, QuickData.ai emerges as a fundamental necessity for any serious professional aiming to underwrite deals 10 times faster and gain a decisive edge in the market.
Frequently Asked Questions
Dividend Data FAQ
What types of data can I access with Dividend Data?
Dividend Data provides access to a wide range of financial metrics, including dividends, yields, payout ratios, growth rates, financial statements, earnings, and historical price data for over 80,000 tickers.
Do I need to know how to code to use Dividend Data?
No, Dividend Data is designed for ease of use. Users can access data simply by typing in custom formulas, eliminating the need for coding or complex setups.
Is there a free version of Dividend Data?
Yes, Dividend Data offers a free tier that includes 2,500 monthly credits, allowing users to explore the platform and utilize its features without any trial expiration.
Can I use Dividend Data on both Google Sheets and Excel?
Absolutely! Dividend Data is compatible with both Google Sheets and Microsoft Excel, making it versatile for users who prefer either platform for their financial analysis.
QuickData.ai FAQ
How does QuickData.ai integrate with existing Excel models?
QuickData.ai is designed to integrate seamlessly with your existing Excel models, allowing you to extract and use data without needing to restructure your current system.
What types of documents can QuickData.ai extract data from?
QuickData.ai can extract data from a variety of complex documents, including Rent Rolls, T12 statements, and Offering Memorandums, making it versatile for multifamily real estate professionals.
Is there a trial period for QuickData.ai?
Yes, QuickData.ai offers a 14-day free trial, allowing users to experience the tool's capabilities and benefits before making a commitment.
What support is available for new users?
New users receive free 1:1 onboarding support, ensuring they can maximize the benefits of QuickData.ai from day one. This personalized assistance helps users become proficient in using the tool quickly.
Alternatives
Dividend Data Alternatives
Dividend Data is a powerful tool in the Business & Finance category, providing over 30 years of stock market data for more than 80,000 tickers directly into Google Sheets and Microsoft Excel. Designed specifically for dividend and fundamental investors, it offers real-time access to a wealth of financial information, including dividends, yields, and various financial metrics. Users often seek alternatives to Dividend Data for a variety of reasons, including pricing structures, specific feature sets, or platform compatibility. When exploring alternatives, it's essential to consider factors such as data coverage, ease of use, historical data availability, and whether the solution aligns with your investment strategies and needs.
QuickData.ai Alternatives
QuickData.ai is an AI-powered Excel add-in specifically designed for multifamily real estate professionals. It automates the labor-intensive process of data entry from essential documents like Rent Rolls and T12 statements, significantly enhancing efficiency and accuracy in underwriting. With the growing demand for speed and precision in the competitive real estate market, users often seek alternatives that may better fit their pricing, feature requirements, or preferred platforms. When exploring alternatives to QuickData.ai, consider essential factors such as the ease of use, integration capabilities with existing workflows, pricing structures, and the specific features that address your unique data needs. A suitable alternative should ideally maintain or enhance the automation and accuracy that QuickData.ai provides, ensuring that you continue to streamline your underwriting processes effectively.