Dividend Data vs QuickData.ai

Comprehensive Spreadsheet Functions

Dividend Data provides 16 custom functions that cover every essential data point for fundamental analysis. Simply type formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") to pull forward dividends, yields, and ex-dates, or use =DIVIDENDDATA_RATIOS() and =DIVIDENDDATA_METRICS() for valuation multiples and financial statement items. This turns your spreadsheet into a dynamic, auto-updating research dashboard, replacing hours of manual data collection with instant, reliable results.

Extensive Historical Data Library

Access over 30 years of historical market and financial data for a universe of 80,000+ global tickers. This deep history is crucial for conducting robust long-term analysis, calculating consistent dividend growth rates, assessing company performance through multiple market cycles, and building reliable financial models. The data is standardized and clean, ready for immediate use in your analysis.

Dual-Platform Compatibility

The tool works seamlessly in both Google Sheets and Microsoft Excel environments. Whether you collaborate in the cloud with Google Workspace or prefer the advanced capabilities of desktop Excel, you get the same consistent formulas and data quality. This flexibility ensures teams and individual investors can use their preferred platform without sacrificing functionality or data access.

AI-Powered Research Assistant

Available in the Pro Terminal, the AI Analyst acts as a dedicated research assistant. You can chat with it to screen for stocks based on custom criteria, get explanations of financial metrics, summarize company performance, and generate investment theses. This feature accelerates the initial research phase by providing instant, data-backed insights and answers to complex analytical questions.

Multifamily Excel Model Integration

QuickData.ai integrates effortlessly with existing Excel models, allowing users to enhance their current workflows without any disruption. This feature ensures that the data extracted is directly inputted where it is needed, maintaining the integrity of the user’s established systems.

Automated Data Extraction

The tool employs cutting-edge AI technology to automate the extraction of data from critical documents, including rent rolls and T12 statements, saving users from the tedious process of manual entry. This streamlined process ensures accuracy and consistency in financial data reporting.

Time-Saving Efficiency

By automating data entry, QuickData.ai helps users save an impressive 15 hours each month. This significant time savings allows real estate professionals to focus on higher-value tasks, such as deal analysis and strategic planning, rather than getting bogged down in data entry.

User-Friendly Onboarding

QuickData.ai offers a hassle-free onboarding experience, with free 1:1 sessions to help users get started quickly. This feature ensures that even those with minimal technical expertise can utilize the software effectively, maximizing its benefits from day one.

Building a Dividend Growth Screener

Create a dynamic stock screener directly in your spreadsheet to identify companies that meet specific dividend investment criteria. Use functions to pull dividend yield, payout ratio, and 5-year dividend growth rate for thousands of stocks simultaneously. Filter and sort to find companies with a yield above 3%, a payout ratio below 60%, and consistent annual growth, all with data that updates automatically.

Automating Portfolio Tracking and Reporting

Manually updating a portfolio spreadsheet with current prices, dividend payments, and yield-on-cost is time-consuming. With Dividend Data, link your holdings using the ticker symbols. Formulas will automatically pull the latest price, dividend announcements, and ex-dates, giving you a real-time view of your portfolio's income, valuation, and performance without any manual input.

Conducting Deep Fundamental Valuation Analysis

Perform thorough company analysis by building a integrated model that pulls live data. Use functions to import years of income statement, balance sheet, and cash flow data directly into your discounted cash flow (DCF) or ratio analysis model. This allows you to test valuation scenarios with current and historical data, ensuring your analysis is based on the most accurate and recent figures available.

Preparing Investment Committee Reports

Quickly generate professional, data-rich reports for presentations or investment reviews. Instead of manually compiling charts and tables from multiple sources, use your spreadsheet with live Dividend Data links to create executive summaries showing key metrics, dividend histories, and peer comparisons. The data refreshes automatically, ensuring every report is based on the latest market information.

Streamlined Underwriting Processes

Acquisitions teams can leverage QuickData.ai to streamline their underwriting processes, allowing for faster and more accurate financial modeling. This efficiency enables teams to evaluate multiple deals simultaneously, increasing productivity.

Enhanced Deal Analysis

Brokers can use QuickData.ai to enhance their deal analysis capabilities. By quickly extracting relevant data from complex documents, brokers can provide clients with timely and accurate insights, improving client satisfaction and trust.

Efficient Financial Reporting

Lenders can utilize QuickData.ai for efficient financial reporting. The automated extraction of data ensures that all reports are accurate and up-to-date, making it easier for lenders to assess risk and make informed lending decisions.

Simplified Accounting Tasks

Accounting firms can benefit from QuickData.ai by simplifying their data entry tasks. With the ability to automate the input of financial data from rent rolls and T12s, accounting professionals can focus on analysis and advisory services rather than administrative work.

Dividend Data is a powerful financial data platform designed to eliminate the tedious manual work of stock research. It brings institutional-grade market data directly into the tools investors already use: Google Sheets and Microsoft Excel. The core product is a spreadsheet add-in that provides instant access to over 30 years of historical data for more than 80,000 tickers through simple, custom formulas. Built specifically for dividend and fundamental investors, it delivers critical metrics like dividend amounts, yields, payout ratios, growth rates, full financial statements, earnings, valuation ratios, and price history without requiring API keys, coding, or copying and pasting from unreliable sources. Its generous free tier offers 2,500 monthly credits with no trial expiration, making professional data accessible to everyone. The platform also includes a web-based Terminal for advanced visualizations, AI-powered research, and portfolio tracking. Ultimately, Dividend Data solves the problem of costly, complex data feeds by giving self-directed investors the comprehensive, accurate, and live data they need to make informed decisions, all within their familiar spreadsheet workflow.

QuickData.ai is an innovative Excel add-in tailored for professionals in the multifamily and commercial real estate sectors. It addresses the time-consuming challenge of manual data entry by leveraging advanced AI technology to automatically extract key financial data and seamlessly populate it into existing Excel underwriting models. This tool is specifically designed for acquisitions teams, brokers, lenders, and accounting firms who require quick and accurate deal analysis. By parsing complex documents such as rent rolls, trailing twelve-month (T12) statements, and offering memorandums (OMs), QuickData.ai transforms unstructured data from PDFs and Excel files into structured, actionable insights in mere seconds. The core value proposition of QuickData.ai lies in its ability to save users up to 15 hours monthly, eliminating the risk of manual errors and enabling professionals to underwrite deals ten times faster. This efficiency allows users to handle increased deal volumes and make more confident investment decisions without altering their trusted Excel workflow.

How does the free tier work?

The free tier provides 2,500 credits per month, which do not expire and renew each month. No credit card is required to start. Each data point retrieved by a formula (e.g., one cell with a price or a dividend yield) typically costs one credit. This allows for substantial usage for individual investors tracking a portfolio or analyzing a handful of stocks regularly.

What data can I access with the spreadsheet add-in?

You can access over 100 key metrics including dividend data (amount, yield, date, growth), real-time quotes, valuation ratios (P/E, P/B), profitability metrics, and full financial statement items (revenue, EPS, cash flow). The add-in also provides 30+ years of historical data for most of these metrics, enabling deep historical trend analysis.

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

Absolutely not. Dividend Data is designed for investors, not programmers. There is no need for API keys, scripting, or any coding knowledge. You simply install the add-in for Google Sheets or Excel and start using the plain-English custom formulas directly in your spreadsheet cells to pull data instantly.

Is my data secure and private?

Yes. Your spreadsheet data and queries remain private. Dividend Data operates as a read-only add-in; it does not collect, store, or have access to the contents of your spreadsheets or your portfolio holdings. It only receives the ticker symbols and metric names you explicitly request in your formulas to return the corresponding public market data.

How does QuickData.ai integrate with Excel?

QuickData.ai integrates directly into Excel as an add-in, allowing users to automate data extraction without changing their existing workflows. This seamless integration ensures that users can continue using their familiar Excel environment.

What types of documents can QuickData.ai process?

QuickData.ai can process complex documents such as rent rolls, trailing twelve-month (T12) statements, and offering memorandums (OMs). This capability allows users to extract crucial financial data quickly and accurately.

Is there a trial period for QuickData.ai?

Yes, QuickData.ai offers a 14-day free trial, allowing potential users to experience the benefits of the software without any commitment. This trial period enables users to evaluate its effectiveness in their specific workflows.

What support is available for new users?

QuickData.ai provides free 1:1 onboarding sessions for new users, ensuring they can set up the tool effectively and maximize its potential. Users can also access resources and customer support for ongoing assistance.

Dividend Data is a specialized tool for fundamental and dividend investors, providing deep historical market data directly within spreadsheet platforms like Google Sheets and Excel. It falls into the category of financial data and analysis tools designed for individual investors and analysts. Users often explore alternatives for various reasons, such as budget constraints, the need for different data points, specific platform compatibility, or seeking a different pricing model like a one-time purchase versus a subscription. When evaluating other options, it's crucial to consider your core needs. Key factors include the depth and historical range of the financial data offered, the ease of integration with your existing workflow (especially within spreadsheets), the total cost relative to your usage, and whether the tool's features are built with a genuine understanding of fundamental and dividend investing strategies. The right solution should save you time and provide reliable data without unnecessary complexity.

QuickData.ai is an innovative Excel add-in designed for multifamily and commercial real estate professionals, utilizing advanced AI to automate the extraction and entry of rent roll and T12 data into Excel. By streamlining this tedious process, QuickData.ai significantly enhances efficiency, allowing users to underwrite multifamily deals up to ten times faster. Users often seek alternatives to QuickData.ai for various reasons, including pricing considerations, the need for additional features, or specific platform compatibility. When searching for an alternative, it’s essential to evaluate the tool’s ease of use, integration capabilities with existing workflows, accuracy of data extraction, and overall support offered to ensure it meets your professional needs.