Dividend Data vs QuickData.ai

Free Tier with Monthly Credits

Dividend Data offers a generous free tier that provides users with 2,500 monthly credits, allowing them to explore the platform without any trial expiration. This feature is perfect for both novice investors who are just beginning their journey and experienced investors who want to test out the tool without financial commitment.

Custom Functions for Dividend Investors

The platform includes 16 custom functions tailored to meet the specific needs of dividend investors. From calculating forward-looking dividend yields to accessing earnings per share, these functions simplify complex financial analyses, enabling users to make informed investment decisions quickly.

Extensive Historical Data

With over 30 years of historical stock data, Dividend Data equips users with the ability to conduct thorough analyses of market trends and stock performance. This extensive data range allows investors to identify patterns, assess long-term growth opportunities, and understand the historical context of their investments.

Seamless Integration with Popular Spreadsheet Tools

Dividend Data works effortlessly within both Google Sheets and Microsoft Excel, making it accessible to a broad audience. This integration allows users to automate their data retrieval process, eliminating the need for tedious copy-pasting and enabling them to focus on analysis and strategy.

AI-Powered Document Data Extraction

This core feature utilizes advanced artificial intelligence to automatically read, interpret, and extract data from multifamily-specific documents. It is precisely trained to identify and capture key metrics from Rent Rolls (unit numbers, square footage, rent, occupancy), T12 statements (monthly income and expenses), and Offering Memorandums. The AI understands the context of the data, ensuring that extracted numbers are placed into the correct fields within your Excel model, completely eliminating manual typing and copy-pasting.

Seamless Excel Integration

QuickData.ai operates directly within Microsoft Excel as a native add-in, requiring no complex data exports or switching between different software platforms. Users can extract data from a document and have it instantly flow into their preferred multifamily underwriting model. This seamless integration preserves all existing formulas, formatting, and logic, making it a natural extension of the professional's current workflow without any disruptive learning curve.

Multifamily-Specific Financial Calculator

Beyond simple data entry, QuickData.ai includes built-in analytical tools tailored for multifamily real estate. This feature allows users to perform rapid calculations and scenario analyses on the extracted data. It can help project cash flows, calculate key metrics like Cap Rates and Debt Service Coverage Ratios (DSCR), and provide instant insights, enabling faster and more informed investment decisions during the critical underwriting phase.

Free 1:1 Onboarding & Setup

Understanding that adopting new technology must be frictionless, QuickData.ai offers personalized onboarding support. This feature ensures that every user or team can get the add-in installed, configured, and integrated with their specific Excel models in minutes. An expert guides you through the process, answers questions, and demonstrates best practices, guaranteeing you can start realizing time savings and efficiency gains from day one of your trial.

Analyzing Dividend Stocks

Investors looking to analyze dividend stocks can utilize Dividend Data's custom functions to retrieve essential metrics like dividend yields and payout ratios. This helps them evaluate the sustainability of dividends and identify stocks that align with their investment goals.

Portfolio Management

Dividend Data enhances portfolio management by allowing users to track dividends automatically and link their portfolios directly to the tool. This feature enables investors to view aggregate statistics and make adjustments based on real-time performance data.

Conducting Fundamental Analysis

Fundamental investors can leverage Dividend Data to access a wealth of financial statements, earnings reports, and key ratios. This access allows for in-depth evaluations of a company's financial health and growth potential, aiding in more informed investment decisions.

Researching Historical Performance

With 30+ years of data available, investors can research and analyze historical stock performance. This valuable insight aids in understanding market cycles and identifying potential investment opportunities based on past trends.

For Acquisitions Teams Underwriting New Deals

Acquisitions analysts and associates are inundated with deal packages. QuickData.ai allows them to instantly import data from seller-provided Rent Rolls and T12s into their proprietary underwriting models. This slashes the initial data processing time from hours to minutes, enabling the team to evaluate more deals, run sensitivities faster, and make competitive bids with greater speed and confidence.

For Commercial Real Estate Brokers Preparing Offering Memorandums

Brokers creating marketing packages for a property sale can reverse-engineer the process. They can use QuickData.ai to quickly pull historical data from their own management systems into standardized pro forma models. This ensures the financial data in the OM is accurate and well-presented, significantly speeding up the preparation process and allowing brokers to bring listings to market more rapidly.

For Lenders and Debt Funds Performing Due Diligence

Lenders need to independently verify the performance of an asset before underwriting a loan. QuickData.ai automates the entry of the borrower's provided rent rolls and operating statements into the lender's own analysis model. This accelerates the due diligence cycle, reduces processing time, and minimizes the risk of manual data entry errors that could affect crucial loan covenants and risk assessments.

For Accounting Firms Auditing Property Performance

Accounting firms servicing multifamily clients often need to analyze periodic financial statements. QuickData.ai streamlines the process of inputting monthly or annual income and expense data from statements into audit or analysis spreadsheets. This improves efficiency, allows accountants to handle more client accounts, and enhances the accuracy of their financial reporting and reviews.

Dividend Data is an innovative tool designed specifically for dividend and fundamental investors seeking seamless access to comprehensive stock market data. With over 30 years of historical information covering more than 80,000 tickers, Dividend Data integrates directly into Google Sheets and Microsoft Excel, allowing users to retrieve crucial financial metrics without the need for complicated API keys or coding knowledge. This user-friendly solution empowers investors by providing instant access to key data points such as dividends, yields, payout ratios, growth rates, financial statements, and earnings. By simply typing a custom formula into their spreadsheet, users can obtain real-time data, significantly enhancing their investment analysis and decision-making process. Whether you are a seasoned investor or just starting, Dividend Data serves as a powerful ally in navigating the complex world of stock investments, making it easier to track and understand dividend performance and overall financial health.

QuickData.ai is a transformative AI-powered Excel add-in engineered specifically for the multifamily real estate industry. It directly tackles the most tedious and error-prone bottleneck in the underwriting process: manual data entry from critical documents. Professionals in acquisitions, brokerage, lending, and accounting spend countless hours manually transferring figures from Rent Rolls, T12 (Trailing 12-Month) statements, and Offering Memorandums (OMs) into complex Excel financial models. This process is not only slow but also riddled with the risk of human error, which can compromise deal analysis and decision-making. QuickData.ai solves this by automating the entire extraction and integration workflow. Its advanced AI accurately reads and pulls unit-level and financial data from PDFs and other document formats, seamlessly populating your existing Excel models in seconds. The core value proposition is immense time savings—averaging 15 hours per month—coupled with guaranteed accuracy and the ability to handle higher deal volumes. This empowers multifamily experts to underwrite deals up to 10x faster, shifting their focus from data wrangling to high-value analysis and strategy.

What types of data can I access with Dividend Data?

You can access a wide range of data, including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 other metrics.

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

Yes, the free tier offers 2,500 monthly credits, which can be used to access various data points. This allows users to manage their usage without incurring unexpected costs.

Can I use Dividend Data on both Google Sheets and Excel?

Absolutely! Dividend Data is designed to work seamlessly with both Google Sheets and Microsoft Excel, making it convenient for users to choose their preferred platform.

Do I need any coding skills to use Dividend Data?

No coding skills are necessary. The platform is built for ease of use, allowing you to simply type a formula to retrieve live data directly into your spreadsheets.

What types of documents can QuickData.ai process?

QuickData.ai is specifically engineered to process the core documents used in multifamily real estate underwriting. This includes Rent Rolls (in PDF or Excel format), Trailing 12-Month (T12) financial statements, and Offering Memorandums (OMs). The AI is trained to recognize the standard formats and data points within these documents to ensure accurate extraction.

How does the AI ensure data extraction accuracy?

The AI model behind QuickData.ai has been extensively trained on thousands of multifamily real estate documents. It doesn't just perform optical character recognition (OCR); it understands the context and relationship between data points (e.g., linking a unit number to its corresponding rent). The tool also provides a clear audit trail, allowing users to quickly verify extracted data against the source document for complete confidence.

Do I need to change my existing Excel underwriting model?

No, a key benefit of QuickData.ai is its seamless integration. You do not need to alter your proven, trusted Excel models. The add-in is designed to map the extracted data into the specific cells and sheets of your existing workbook. It works with your model's structure, preserving all your formulas, macros, and formatting.

Is there a commitment required after the free trial?

No, QuickData.ai offers a full 14-day free trial with no credit card required upfront. The trial includes all features and the free 1:1 onboarding session. After the trial, you can choose a subscription plan that fits your needs. You can cancel your subscription at any time, providing full flexibility without long-term commitment.

Dividend Data is a powerful tool designed for dividend and fundamental investors, offering over 30 years of stock market data for more than 80,000 tickers. It seamlessly integrates with Google Sheets and Microsoft Excel, providing instant access to essential metrics such as dividends, yields, and financial statements through simple formulas. Users often seek alternatives due to factors like pricing, specific feature sets, or compatibility with their preferred platforms. When searching for an alternative, it’s crucial to consider the breadth and depth of historical data offered, the ease of use in terms of integration with existing tools, and whether the pricing structure aligns with your budget. Additionally, evaluate the range of features that cater specifically to your investment strategies, ensuring the alternative meets your unique needs as an investor.

QuickData.ai is an AI-powered Excel add-in in the business and finance category, designed to automate data extraction from rent rolls and T12 statements for multifamily real estate underwriting. It helps professionals save significant time by eliminating manual data entry. Users often explore alternatives for various reasons. These can include budget constraints, the need for different feature sets like broader document processing, or a requirement for a platform that works outside of the Excel ecosystem. Some may seek solutions integrated into larger property management or investment analysis suites. When evaluating an alternative, key considerations should be its core automation capabilities for your specific document types, the accuracy and reliability of the data extraction, and how well it integrates into your existing workflow. The ideal tool should solve the data entry bottleneck without creating new complexities, ultimately speeding up your deal analysis.