Dividend Data vs QuickData.ai

Comprehensive Spreadsheet Functions

Access over 16 custom formulas designed for in-depth stock analysis directly in your cells. Functions like DIVIDENDDATA_DIVIDENDS, DIVIDENDDATA_RATIOS, and DIVIDENDDATA_QUOTE pull specific data points such as forward yield, ex-dividend dates, P/E ratios, and current price. This turns your spreadsheet into a dynamic, auto-updating research terminal without any coding required.

Extensive Historical Data Library

Gain insights with over 30 years of historical market data for 80,000+ stocks and ETFs. This deep historical context is crucial for analyzing long-term dividend growth trends, financial performance across market cycles, and conducting robust backtesting for investment strategies, all from within your familiar spreadsheet environment.

Dual Platform Compatibility

Seamlessly integrate live financial data into both Google Sheets and Microsoft Excel. The add-ins are officially available on Google Workspace Marketplace and Microsoft AppSource with high user ratings, ensuring a smooth, secure, and reliable experience regardless of your preferred spreadsheet software.

Free Tier with Generous Credits

Start analyzing immediately with a free plan that provides 2,500 credits per month without any trial expiration or credit card required. This allows users to test numerous formulas and tickers, making it an accessible entry point for individual investors before considering higher-tier plans for more extensive data needs.

Multifamily Excel Model

QuickData.ai offers a specialized Excel model designed for multifamily real estate. This feature allows users to effortlessly input and manipulate data, streamlining the underwriting process for better financial analysis.

Automate T12 and Rent Roll Data Entry

This feature automates the entry of T12 and rent roll data into Excel. By eliminating manual input errors, it ensures accuracy and speeds up the data processing time, making it easier for users to focus on strategic decision-making.

Multifamily Insights

QuickData.ai provides actionable insights into multifamily properties by analyzing key metrics and trends. Users can leverage this information to identify opportunities and make data-driven investment decisions.

14-Day Free Trial

To facilitate user adoption, QuickData.ai offers a 14-day free trial. This allows potential customers to explore the tool's capabilities and experience the efficiency it brings to their data management processes without any financial commitment.

Automated Dividend Portfolio Tracking

Build a live-tracking dividend portfolio spreadsheet. Automatically import dividend dates, amounts, and yields for all holdings. This allows investors to monitor projected income, track payment schedules, and analyze portfolio yield without manually updating each stock's data, saving hours of maintenance.

Fundamental Stock Analysis and Screening

Perform deep fundamental analysis by pulling financial statements, valuation ratios, and growth metrics for any company. Investors can create custom stock screens by building spreadsheets that compare P/E ratios, payout ratios, or EPS growth across a universe of stocks using live, updated data.

Historical Performance Backtesting

Test investment strategies using three decades of historical price and dividend data. Users can model how a dividend growth strategy would have performed, calculate total returns including reinvested dividends, and assess the volatility of specific stocks or sectors over long time horizons.

Financial Modeling and Forecasting

Enhance financial models with accurate, externally-sourced data. Incorporate real-time metrics like current share price, diluted EPS, and debt-to-equity ratios into discounted cash flow (DCF) models or other valuation spreadsheets, ensuring your assumptions are based on the latest market information.

Streamlined Underwriting Process

QuickData.ai is ideal for underwriting teams looking to expedite their workflows. By automating the data extraction from critical documents, teams can focus more on analysis rather than data entry, leading to quicker deal evaluations.

Enhanced Data Accuracy

Accounting firms can utilize QuickData.ai to minimize errors in financial reporting. The automation of data entry reduces the risk of human mistakes, ensuring that all financial reports are accurate and reliable.

Rapid Deal Analysis

Commercial real estate brokers benefit from QuickData.ai by significantly shortening the time required for deal analysis. With automated data entry, brokers can quickly assess multiple properties and make faster offers, enhancing their competitiveness.

Comprehensive Financial Modeling

QuickData.ai assists acquisitions teams in building detailed financial models with precision. By automating the input of rent rolls and T12s, users can create robust models that reflect accurate property valuations and forecasts.

Dividend Data is a powerful financial data platform designed to bring institutional-grade stock market information directly into your spreadsheets. It eliminates the need for complex APIs, coding, or manual copy-pasting by providing over 16 simple custom formulas for Google Sheets and Microsoft Excel. With access to 30+ years of historical data for more than 80,000 global tickers, users can instantly pull critical metrics like dividends, yields, payout ratios, financial statements, earnings, and price history. Built specifically for dividend and fundamental investors by a fellow investor, the tool focuses on delivering the exact data needed for deep analysis. Its standout offering includes a permanently free tier with 2,500 monthly credits, making professional investment research accessible without a high cost. The core value proposition is automation and simplicity: just type a formula and get live, updated data in your spreadsheet within seconds.

QuickData.ai is a cutting-edge Excel add-in tailored specifically for the multifamily real estate sector. It revolutionizes the data extraction process by automating crucial data entry from rent rolls, T12 statements, and offering memorandums directly into Excel underwriting models. This tool is particularly beneficial for acquisitions teams, commercial real estate brokers, lenders, and accounting firms that routinely handle substantial amounts of data. By significantly reducing the need for manual data entry, QuickData.ai liberates users from approximately 15 hours of labor each month, enabling them to conduct deal analyses in just a few minutes. Its seamless integration with existing Excel models ensures a smooth transition, allowing professionals to make informed decisions with speed and accuracy. The primary value proposition of QuickData.ai lies in enhancing productivity while drastically minimizing human errors associated with data handling.

How do I get started with Dividend Data?

Getting started is simple. For Google Sheets, install the add-on from the Google Workspace Marketplace. For Microsoft Excel, install it from Microsoft AppSource. Once installed, you can immediately start using the custom formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") in your spreadsheet. No API key or coding is required.

What is included in the free plan?

The free plan offers 2,500 credits per month, which do not expire. This allows you to use a significant number of data calls to test various functions and tickers. It provides full access to the suite of custom formulas within the credit limit, making it ideal for individual investors and casual users.

What kind of data can I access?

You can access a wide range of data points including dividend information (amount, yield, dates, growth), key financial ratios (P/E, P/B, payout ratio), quote data (price, volume), income statement and balance sheet items, and over 100 other fundamental metrics. The data covers 80,000+ tickers with 30+ years of history.

Does the data update automatically in my spreadsheet?

Yes, the data is live and updates automatically. When you open your spreadsheet or refresh it, the formulas will pull the most current information available from Dividend Data's servers. This ensures your analysis and portfolio tracking are always based on the latest market data.

How does QuickData.ai integrate with Excel?

QuickData.ai seamlessly integrates with existing Excel models, allowing users to automate data entry without disrupting their current workflows or requiring extensive training.

Can I customize the data fields in QuickData.ai?

Yes, QuickData.ai allows for customization of data fields to align with specific business needs, ensuring that users can tailor the tool to suit their unique data management requirements.

Is there customer support available during the trial period?

Absolutely. QuickData.ai offers dedicated customer support during the 14-day free trial, including 1:1 onboarding assistance to help users maximize the tool's capabilities.

What happens after the trial ends?

After the trial period, users can choose to subscribe to a paid plan or cancel their trial. There are no obligations, and users can easily transition if they find QuickData.ai meets their needs.

Dividend Data is a spreadsheet add-on that provides extensive historical stock market and dividend data directly into Google Sheets and Excel. It falls into the category of financial data tools designed for self-directed investors and analysts. Users often explore alternatives for various reasons, such as budget constraints, specific feature requirements, or compatibility with different platforms like proprietary software or other spreadsheet applications. Needs can vary widely from one investor to the next. When evaluating other options, key considerations include the depth and history of the financial data offered, the ease of integration with your existing workflow, the total cost of ownership, and whether the tool's specialized functions align with your specific investment strategy, such as dividend growth analysis.

QuickData.ai is an advanced Excel add-in tailored for the multifamily real estate sector. It automates the data entry process for rent rolls, T12 statements, and offering memorandums, significantly enhancing underwriting efficiency. Users often seek alternatives due to reasons such as pricing, specific feature sets, or compatibility with existing platforms. When considering alternatives, it's essential to evaluate the level of automation, integration capabilities with existing tools, user support, and overall value offered by the solution.