Dividend Data vs QuickData.ai

Extensive Spreadsheet Functions

Dividend Data provides 16 custom, easy-to-use functions that cover every essential data point for fundamental analysis. Simply type formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") or =DIVIDENDDATA_RATIOS("TICKER", "PeRatio") and the live data instantly populates your cell. These functions pull from a vast database, giving you one-click access to forward dividends, ex-dates, financial metrics, and real-time quotes, transforming your spreadsheet into a dynamic research terminal.

Decades of Historical Data

Access over 30 years of clean, reliable historical market data for a comprehensive long-term view. This deep historical context is crucial for analyzing dividend growth trends, assessing company performance through multiple economic cycles, and building robust financial models. Whether you're backtesting a strategy or calculating a 10-year dividend growth rate, you have the historical depth needed for thorough due diligence.

Cross-Platform Compatibility

The tool works seamlessly in both Google Sheets and Microsoft Excel environments. You can download it as an add-in from the Microsoft AppSource or install it as a Google Workspace add-on. This flexibility ensures teams and individual investors can use their preferred spreadsheet software without sacrificing functionality, making collaboration and data consistency easy across different platforms.

Built for Fundamental & Dividend Investors

Every feature is crafted with the needs of income and value investors in mind. The data focuses on dividend sustainability (payout ratios, growth rates), fundamental health (financial statements, earnings), and key valuation metrics. It cuts through the noise to deliver the specific data points—like next ex-dividend date or forward yield—that are most critical for building and managing a dividend-focused portfolio.

Multifamily Excel Model

The Multifamily Excel Model feature allows users to import and utilize their existing Excel underwriting templates effortlessly. With QuickData.ai, you can ensure that the data extracted from rent rolls, T12s, and offering memorandums fits perfectly into your custom models, making analysis smooth and efficient.

Automated Data Entry

Automate T12 and rent roll data entry into Excel with QuickData.ai. This feature takes the hassle out of manual input, reducing the time spent on data entry significantly. Whether you are dealing with large volumes of data or complex spreadsheets, this automation ensures you maintain accuracy and speed.

14-Day Free Trial

Experience the power of QuickData.ai risk-free with our 14-day free trial. This feature allows potential users to explore all functionalities without any financial commitment. It’s the perfect opportunity to see how QuickData.ai can transform your underwriting process.

1:1 Onboarding Support

Setting up QuickData.ai is a breeze, especially with our free 1:1 onboarding support. Our team is dedicated to ensuring you get the most out of your experience. We guide you through the setup process and answer any questions to help you start underwriting deals efficiently and confidently.

Automated Dividend Portfolio Tracking

Manually updating a portfolio spreadsheet with current yields, dividend dates, and payment amounts is a chore. With Dividend Data, you can create a master watchlist or portfolio tracker where all these figures update automatically. Set formulas once for tickers like MSFT or KO, and your sheet will always display the latest forward dividend, yield, and next ex-date, saving hours of maintenance each month.

Screening and Comparative Analysis

Quickly screen and compare potential investments directly in your spreadsheet. Use the functions to pull key ratios like P/E, P/B, or debt-to-equity for a list of stocks side-by-side. Analyze dividend growth rates or payout ratios across sectors to identify the most financially stable and shareholder-friendly companies, all without ever leaving your familiar analytical environment.

Building Dynamic Financial Models

Create powerful, auto-updating discounted cash flow (DCF) models or dividend discount models (DDM). Link your model assumptions directly to live data feeds for revenue, EPS, and dividend per share. This ensures your valuation models are always based on the most recent reported figures, making your investment thesis and price targets more accurate and timely.

Educational Research and Backtesting

Ideal for students, bloggers, and investors honing their skills. Easily pull 10 years of dividend history to chart a company's growth trajectory or analyze how a stock's valuation multiples have changed over time. Test historical investment rules or strategies by building sheets that leverage decades of price and fundamental data for robust, evidence-based learning.

Accelerating Deal Analysis

Real estate professionals can use QuickData.ai to speed up their deal analysis process. By automating data extraction, users can evaluate multiple deals in a fraction of the time it would normally take, allowing for quicker strategic decision-making.

Enhancing Accuracy in Data Entry

With QuickData.ai, users can minimize errors associated with manual data entry. This leads to more reliable financial projections and investment analyses, ultimately supporting better-informed decisions and reducing risk in real estate investments.

Increasing Deal Volume

By simplifying the underwriting process, QuickData.ai enables teams to handle a higher volume of deals. This increased capacity means that professionals can pursue more opportunities without feeling overwhelmed, leading to greater success in acquisitions.

Streamlining Reporting Processes

QuickData.ai can also streamline reporting processes, allowing users to generate accurate reports quickly. With automated data integration, creating presentations and reports for stakeholders becomes efficient, enhancing communication and transparency in the decision-making process.

Dividend Data is a powerful financial data platform designed to bring institutional-grade stock market information directly into the tools you already use every day: Google Sheets and Microsoft Excel. It eliminates the tedious, error-prone process of manually copying and pasting data from financial websites. Instead, you get instant, live access to over 30 years of historical data for more than 80,000 tickers through simple, custom spreadsheet formulas. Built specifically by and for dividend and fundamental investors, it provides a comprehensive suite of data points including dividend amounts, yields, payout ratios, growth rates, complete financial statements, key valuation ratios, and real-time price history. The core value proposition is powerful simplicity: you get the deep data needed for serious investment analysis without needing API keys, coding skills, or a massive budget. With a generous free tier offering 2,500 monthly credits that never expire, it's built to empower every investor to make more informed, data-driven decisions right from their spreadsheet.

QuickData.ai is your intelligent Excel co-pilot for multifamily real estate underwriting, specifically designed to make the lives of acquisitions teams, brokers, lenders, and accountants easier. In the demanding world of real estate, professionals often face the tedious and error-prone task of manual data entry, especially when dealing with critical documents like rent rolls, T12 statements, and offering memorandums. QuickData.ai steps in as an AI-powered Excel add-in that automates the extraction of essential data from these documents and seamlessly integrates it into your existing Excel underwriting models. This innovation allows users to analyze potential deals up to 10 times faster and with greater accuracy, enabling them to handle a higher volume of opportunities without increasing their workload. By eliminating grunt work, QuickData.ai empowers professionals to focus on what truly matters—strategic investment decisions and winning more deals.

How does the free tier work?

The free tier is remarkably generous and designed to be permanently useful. You receive 2,500 credits every month, which do not expire and refresh on a monthly cycle. Each data pull using a formula typically costs 1 credit. This allows for substantial usage, such as updating a portfolio of 50 stocks with several data points each month, completely free of charge and without any trial period pressure.

Do I need to know how to code or use APIs?

Absolutely not. Dividend Data requires zero coding knowledge or API integration. The entire system works through simple spreadsheet formulas that anyone familiar with basic Excel or Google Sheets functions can use. You just type the formula with the stock ticker, and the data appears instantly—no technical setup, key management, or complex configuration is needed.

What kind of data can I access?

You have access to a comprehensive suite of data critical for fundamental analysis. This includes dividend data (amounts, yields, dates, growth), real-time quotes and price history, complete financial statements (income, balance sheet, cash flow), and over 100 key financial ratios (valuation, profitability, liquidity). The database covers 80,000+ global tickers with 30+ years of history.

Is my data secure and private?

Yes. Dividend Data operates with a strong commitment to privacy. Your spreadsheet data and portfolio information are not stored on their servers. The add-in/plug-in facilitates a direct data pull into your sheet. You are in complete control of your data within your own spreadsheet file, which resides in your Google Drive or on your local computer.

How does QuickData.ai integrate with Excel?

QuickData.ai is an Excel add-in that seamlessly integrates with your existing Excel environment. It allows you to extract data from various documents and automatically populate your spreadsheets, ensuring a smooth workflow.

Can I try QuickData.ai before committing?

Yes! We offer a 14-day free trial that allows you to explore all the features and functionalities of QuickData.ai risk-free. This way, you can determine how it fits into your workflow without any financial commitment.

What types of documents does QuickData.ai support?

QuickData.ai supports the extraction of data from rent rolls, T12 statements, and offering memorandums. This broad functionality ensures that you can handle essential documents critical to multifamily real estate underwriting.

Is there support available if I encounter issues?

Absolutely! QuickData.ai provides free 1:1 onboarding support to help you set up and navigate the software. Additionally, our support team is available to assist with any questions or issues you may encounter while using the platform.

Dividend Data is a specialized tool that brings over 30 years of stock market data directly into your spreadsheets. It falls into the category of financial data providers, specifically designed for investors who focus on dividends and company fundamentals. Users often explore other options to find the best fit for their specific needs. People look for alternatives for various reasons. This could be due to budget constraints, a need for different features not offered, or because they primarily use a platform that isn't supported. Some may require more advanced analytical tools or a different data delivery method. When evaluating other services, consider what's most important for your workflow. Key factors include the depth and accuracy of historical data, the cost relative to your usage, compatibility with your preferred spreadsheet software, and how easily you can access the specific metrics you need without a technical hassle.

QuickData.ai is an innovative AI-powered tool tailored for the multifamily real estate sector, specifically designed to streamline the often cumbersome process of data entry into Excel. By automating the extraction of critical information from rent rolls and T12 statements, it allows users—such as acquisitions teams, brokers, and accountants—to significantly accelerate their underwriting processes. However, users may seek alternatives due to factors like pricing, specific feature sets, or compatibility with their existing workflows. When exploring alternatives, it’s essential to consider the specific needs of your team and the features that matter most to you. Look for tools that not only enhance data accuracy and speed but also integrate seamlessly with your existing platforms. Additionally, evaluate user reviews and customer support options, as these can significantly impact your overall experience and effectiveness in adopting a new solution.