Dividend Data vs QuickData.ai

Free Tier with Monthly Credits

Dividend Data offers a generous free tier featuring 2,500 monthly credits, allowing users to explore the platform without the pressure of a trial expiration. This way, you can test the features and see how it fits your investment strategy.

Custom Functions for Dividend Investors

With 16 custom functions at your disposal, Dividend Data covers all the essential metrics that dividend investors need. Whether you are looking for dividend yields, payout ratios, or growth rates, these functions streamline data retrieval directly into your spreadsheets.

Extensive Historical Data

Dividend Data provides over 30 years of historical stock market data. This extensive database allows investors to conduct thorough analyses and track performance over time, enabling informed investment decisions.

Compatibility with Google Sheets and Excel

Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel. This compatibility ensures that you can access live data in your preferred spreadsheet software, making it easy to incorporate into your existing workflows.

AI-Powered Data Extraction

This is the heart of QuickData.ai. Using advanced artificial intelligence, the tool intelligently scans and understands documents like rent rolls, T12s, and offering memorandums. It identifies key data points such as unit numbers, square footage, rent amounts, expenses, and income figures, then accurately extracts them without any manual typing from you. This feature handles the most time-consuming part of your job with precision.

Seamless Excel Integration

QuickData.ai works directly inside Microsoft Excel as an add-in. There's no need to switch between different software or learn a complicated new platform. Once installed, you can pull data from your documents and have it populate your own custom Excel underwriting models instantly. This keeps all your work in one place and leverages the tools you already know and use every day.

Support for Key Multifamily Documents

The tool is expertly trained on the specific document types multifamily professionals use daily. It reliably extracts data from Rent Rolls (for unit-level details), T12/T3 statements (for historical operating income and expenses), and Offering Memorandums (for summarized property financials). This targeted capability ensures high accuracy and relevance for your underwriting needs.

Fast Setup and Easy Onboarding

Getting started with QuickData.ai is designed to be quick and stress-free. The setup process takes just minutes, and the team offers free, personalized 1:1 onboarding sessions to help you get the most out of the tool from day one. You can start your 14-day free trial immediately and cancel anytime, making it easy to experience the benefits with no long-term commitment.

Analyzing Dividend Stocks

Investors can utilize Dividend Data to analyze a variety of dividend stocks. By using custom formulas, they can quickly access vital metrics such as dividend yields and payout ratios, which are crucial for evaluating potential investments.

Portfolio Management

Dividend Data allows users to track their dividend portfolios effortlessly. Investors can automatically link their portfolios to the tool, providing them with aggregate statistics and performance insights that save time and enhance decision-making.

Financial Research

With the AI-powered research assistant, users can conduct detailed financial analysis with ease. Dividend Data equips investors with the tools necessary to chat with the AI for insights, making complex analyses simpler and faster.

Historical Performance Review

Dividend Data's extensive historical information enables investors to review long-term performance trends of their investments. By examining past earnings and price histories, they can better understand how stocks have performed and strategize accordingly.

For Acquisitions Teams Analyzing New Deals

Acquisitions analysts can use QuickData.ai to rapidly populate their underwriting models with data from seller-provided documents. Instead of taking a full day to input data from a rent roll and T12, they can do it in under an hour, allowing them to analyze more potential deals, move faster in competitive markets, and make better-informed investment decisions.

For Broports and Investment Summaries

Brokers preparing marketing materials or investment summaries for a listing can use QuickData.ai to quickly pull accurate, up-to-date figures from the property's financials. This ensures their reports are data-rich and professional, created in a fraction of the usual time, helping them serve clients more effectively and win more listings.

For Lenders and Debt Underwriting

Lenders underwriting a loan for a multifamily property need to verify income and expenses quickly. QuickData.ai automates the extraction of this data from the borrower's submitted T12s and rent rolls, populating the lender's own analysis templates. This speeds up the due diligence process, reduces manual error risk, and leads to faster loan decisions.

For Accounting Firms and Due Diligence

Accounting firms conducting financial due diligence for clients can use QuickData.ai to efficiently gather and organize historical operating data from a property's financial statements. This automation allows auditors and analysts to focus on higher-value tasks like variance analysis and identifying discrepancies, rather than data transcription.

Dividend Data is a powerful tool that brings over 30 years of stock market data for more than 80,000 tickers directly into your Google Sheets and Microsoft Excel spreadsheets. Designed specifically for dividend and fundamental investors, it eliminates the need for API keys, coding, or tedious copy-pasting. With Dividend Data, you gain instant access to a wealth of information including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 metrics. By simply typing a formula, you can pull live data into your spreadsheets, making it incredibly user-friendly. This tool is built by a dividend investor who understands the needs of fellow investors, ensuring that you have the resources necessary to make informed decisions without the high costs typically associated with institutional-grade data.

Welcome to QuickData.ai, your intelligent assistant for multifamily real estate underwriting! If you're a professional in commercial real estate, you know the pain of manual data entry. Spending hours, or even days, meticulously typing numbers from rent rolls, T12 statements, and offering memorandums into Excel models is not just tedious—it's a major bottleneck. QuickData.ai is here to change that. It's a powerful, AI-powered Excel add-in built specifically for acquisitions teams, brokers, lenders, and accounting firms. Its core mission is simple: to save you an immense amount of time and eliminate costly manual errors. The tool works by automatically extracting critical financial and unit-level data directly from your PDF and Excel documents and placing it neatly into your existing Excel underwriting templates. This means you can go from a stack of documents to a fully populated analysis in minutes, not days. Think of QuickData.ai as a dedicated data assistant that works at lightning speed, right inside the familiar environment of Microsoft Excel. It empowers you to evaluate more deals with greater confidence and accuracy, fundamentally transforming your workflow and boosting your productivity.

How does Dividend Data integrate with Google Sheets and Excel?

Dividend Data integrates directly into Google Sheets and Microsoft Excel, allowing users to input specific formulas to retrieve live data without any coding or complex setups.

What kind of data can I access using Dividend Data?

With Dividend Data, you can access a wide range of stock market data including dividends, yield percentages, payout ratios, growth rates, financial statements, and over 100 additional metrics.

Is there a limit to the number of credits I can use?

Yes, the free tier provides you with 2,500 monthly credits. If you find that you need more data, you can explore additional pricing options available within the platform.

Who is Dividend Data designed for?

Dividend Data is specifically designed for dividend and fundamental investors who seek reliable, institutional-grade market data without the high costs associated with traditional financial services.

What types of documents can QuickData.ai read?

QuickData.ai is specifically designed for multifamily real estate documents. It can accurately extract data from PDF and Excel files containing Rent Rolls (listing units and rents), T12/T3 Operating Statements (showing monthly income and expenses), and Offering Memorandums (OMs) which summarize property financials and details.

Do I need to change my Excel model to use QuickData.ai?

No, that's the beauty of it! QuickData.ai is built to work with your existing Excel underwriting templates. The AI extracts the data and places it into your spreadsheet's structure. You maintain full control over your models and formulas; QuickData.ai simply automates the tedious data entry step.

How accurate is the AI data extraction?

The AI is highly accurate as it is specifically trained on multifamily real estate documents. It understands the common formats and terminology used in rent rolls and financial statements. For added peace of mind, it's always good practice to do a quick spot-check of the imported data, but the tool drastically reduces both time spent and error rates compared to manual entry.

Is there a free trial available?

Yes! QuickData.ai offers a full 14-day free trial so you can test the tool with your own documents and workflows. You can request the Excel add-in and start the trial immediately. The trial includes free 1:1 onboarding to ensure you get started successfully, and you can cancel anytime.

Dividend Data is a robust tool designed for dividend and fundamental investors, offering over 30 years of stock market data for more than 80,000 tickers directly in Google Sheets and Microsoft Excel. This service allows users to access a wealth of information, including dividends, yields, and financial metrics, without the need for coding or complex setups. As users explore their options, they often seek alternatives due to factors like pricing, specific features that may better suit their investment strategies, or preferences for particular platforms. When looking for an alternative, consider factors such as the availability of historical data, ease of use, and the range of metrics provided. It's also essential to assess whether the alternative meets your unique investment needs while ensuring that it integrates well with the tools you currently use. By focusing on these aspects, you can find a solution that enhances your investment analysis and decision-making process.

QuickData.ai is an AI-powered Excel add-in designed for commercial real estate professionals. It automates the manual data entry of rent rolls and T12 statements into Excel models, helping teams underwrite multifamily deals much faster. Users often explore alternatives for various reasons. These can include budget constraints, a need for different features, or a preference for a platform that works outside of Excel. It's a normal part of finding the perfect tool for your specific workflow. When evaluating other options, focus on what matters most for your deals. Key considerations are accuracy in data extraction, compatibility with your existing documents and software, the overall time savings offered, and of course, the value for your investment.