Dividend Data vs QuickData.ai

Side-by-side comparison to help you choose the right tool.

Access 30+ years of comprehensive stock data instantly in Google Sheets and Excel, enhancing your investment decisions effortlessly.

Last updated: March 11, 2026

QuickData.ai automates multifamily underwriting by instantly extracting rent roll and T12 data into Excel.

Last updated: March 1, 2026

Visual Comparison

Dividend Data

Dividend Data screenshot

QuickData.ai

QuickData.ai screenshot

Feature Comparison

Dividend Data

Free Tier with 2,500 Monthly Credits

Dividend Data offers a generous free tier that provides users with 2,500 monthly credits, allowing investors to explore its features without the pressure of a trial expiration. This ensures that users can familiarize themselves with the tool and its capabilities at no initial cost.

16 Custom Functions for Dividend Investors

The software boasts 16 tailored custom functions, each designed to meet the unique needs of dividend investors. These functions enable users to extract a wide array of data points, from dividend yields to payout ratios, empowering them with the information necessary for informed investment decisions.

30+ Years of Historical Data

With access to over 30 years of historical stock market data, Dividend Data equips investors with the ability to analyze long-term trends and patterns. This extensive dataset enhances decision-making by providing insights into how stocks have performed over time, making it essential for strategic investing.

Compatibility with Google Sheets and Microsoft Excel

Dividend Data seamlessly integrates into both Google Sheets and Microsoft Excel, ensuring that users can incorporate vital stock data into their preferred spreadsheet application. This compatibility enhances usability and allows for a smooth transition for users accustomed to either platform.

QuickData.ai

AI-Powered Data Extraction

QuickData.ai's proprietary AI engine is meticulously trained to read, interpret, and extract critical financial data from the most complex multifamily documents. It intelligently identifies and parses key figures from rent rolls, T12 statements, and offering memorandums, transforming unstructured PDFs into clean, structured data ready for analysis, all with exceptional accuracy that surpasses manual entry.

Direct Excel Model Integration

The platform operates seamlessly as an add-in within your native Excel environment. Extracted data is injected directly into your existing underwriting models and spreadsheets, preserving your proprietary formulas and structure. This eliminates the need for error-prone copy-pasting or intermediary steps, ensuring data flows instantly and correctly into your final analysis.

Multifamily-Specific Intelligence

Unlike generic data extraction tools, QuickData.ai is built with deep domain expertise for multifamily real estate. It understands asset-specific nuances, such as unit mix classifications, rental income line items, and expense categories from T12s, ensuring the parsed data is contextually accurate and immediately usable for underwriting calculations and valuation models.

Rapid Setup & Free Onboarding

QuickData.ai is designed for immediate impact. The Excel add-in can be set up in minutes, and every subscription includes free, personalized 1:1 onboarding to ensure your team achieves mastery and operational efficiency from day one. This commitment to seamless integration minimizes disruption and maximizes your return on investment from the very first deal.

Use Cases

Dividend Data

Portfolio Management

Dividend Data can be utilized by investors to manage their portfolios effectively. By accessing real-time financial metrics and historical data, users can make informed decisions regarding buying, holding, or selling stocks, ultimately optimizing their investment strategies.

Dividend Tracking

Investors focused on dividend income can leverage Dividend Data to track their dividend payments and yields. This allows them to stay updated on upcoming dividends, ensuring they never miss critical payments that contribute to their overall income strategy.

Financial Analysis

Fundamental analysts can use Dividend Data to conduct thorough financial analyses of various companies. By accessing key financial ratios and metrics, analysts can evaluate a company's performance, stability, and potential for growth, aiding in their investment recommendations.

Research and Due Diligence

Dividend Data serves as a powerful research tool for investors conducting due diligence. With its extensive database and custom functions, investors can gather comprehensive insights into stocks they are considering, ensuring they have the necessary information to make sound investment choices.

QuickData.ai

Accelerating Acquisitions Underwriting

Acquisitions teams can underwrite potential deals 10x faster. By automating the ingestion of rent rolls and T12s from seller packages, analysts bypass days of manual data entry. This drastic acceleration allows teams to evaluate more opportunities, conduct deeper due diligence, and submit compelling, data-backed offers with a significant speed advantage over competitors.

Enhancing Broker & Advisor Proposals

Brokers and financial advisors leverage QuickData.ai to create professional, accurate offering memorandums and investment summaries with unprecedented speed. Automating data extraction from historical statements ensures client proposals and marketing materials are flawlessly accurate, enhancing credibility and enabling faster turnaround to capture investor interest.

Streamlining Lender Due Diligence

Lenders and debt underwriters use the platform to quickly and accurately assess property financials during the loan underwriting process. Automating the entry of T12 income and expense data into their credit models reduces processing time, minimizes risk from manual errors, and allows for a more efficient and reliable debt approval pipeline.

Optimizing Accounting Firm Audits

Accounting firms serving multifamily clients utilize QuickData.ai to automate the initial data gathering and entry phase for audits and financial reviews. Extracting data from provided statements into their audit workpapers saves countless hours of junior staff time, reduces entry errors, and allows senior professionals to focus on higher-level analysis and compliance.

Overview

About Dividend Data

Dividend Data is a cutting-edge financial tool meticulously crafted for dividend and fundamental investors, providing seamless access to over 30 years of historical stock market data for more than 80,000 tickers. This innovative solution integrates directly into Google Sheets and Microsoft Excel, eliminating the need for API keys, coding, or tedious copy and paste tasks. With Dividend Data, investors can effortlessly retrieve essential metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and other vital data through simple custom formulas. Just input a formula, and real-time data is instantly populated in your spreadsheet. This tool is designed not only to enhance productivity but also to empower investors with institutional-grade insights at an accessible level, making it an indispensable asset for anyone focused on dividend investing.

About QuickData.ai

QuickData.ai is the definitive AI-powered Excel add-in, engineered exclusively for the elite of multifamily real estate. It serves as a critical force multiplier for acquisitions teams, brokers, lenders, and accounting firms, transforming the foundational yet arduous task of data entry into a seamless, automated process. The platform is specifically designed to extract, parse, and structure critical financial data from complex documents—including rent rolls, trailing twelve-month (T12) statements, and offering memorandums—and inject it directly into your existing Excel underwriting models. This eliminates the notorious bottleneck of manual transcription, a primary source of costly errors and wasted hours that plagues traditional underwriting. By automating this core function, QuickData.ai empowers top-tier professionals to analyze deals not in days, but in minutes, reclaiming an average of 15 hours per month. This reclaimed time is redirected toward high-value analysis, negotiation, and strategic decision-making, providing an unparalleled competitive advantage. It is more than a tool; it is the new standard for precision, efficiency, and elite performance in commercial real estate underwriting.

Frequently Asked Questions

Dividend Data FAQ

What types of data can I access with Dividend Data?

Dividend Data provides access to a wide array of financial metrics, including dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 additional metrics.

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

Yes, the free tier offers 2,500 monthly credits, allowing users to explore the platform's features. Additional credits or premium plans may be available for those requiring more extensive access.

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

Absolutely. Dividend Data is designed to be compatible with both Google Sheets and Microsoft Excel, allowing users the flexibility to choose their preferred platform.

How do I get started with Dividend Data?

Getting started is simple. You can sign up for free, and no credit card is required. Once registered, you can begin utilizing Dividend Data's features immediately with your chosen spreadsheet application.

QuickData.ai FAQ

What types of documents can QuickData.ai process?

QuickData.ai is specifically engineered to process the core documents of multifamily real estate underwriting. This includes Rent Rolls (detailing unit-by-unit occupancy and rent), Trailing Twelve-Month (T12) financial statements, and Offering Memorandums (OMs). Our AI is trained to identify and extract the key financial data points from these formats.

Does it work with my existing Excel models?

Absolutely. QuickData.ai is designed as an Excel add-in to complement your existing workflow. It does not force you to adopt a new model. The extracted data is structured and can be mapped directly into your proprietary Excel underwriting templates, preserving all your existing formulas, calculations, and formatting.

How accurate is the AI data extraction?

Our AI achieves a very high degree of accuracy, significantly reducing the error rate inherent in manual data entry. The system is built with multifamily-specific intelligence to understand context. We recommend a quick validation check, as with any critical financial data, but the process eliminates the vast majority of transposition and omission errors.

Is there a commitment or long-term contract?

No. QuickData.ai offers flexibility to our clients. You can begin with a 14-day free trial to experience the platform's capabilities. Following the trial, subscription plans are available on a monthly basis with no long-term contract required, and you can cancel your subscription at any time.

Alternatives

Dividend Data Alternatives

Dividend Data is a premier tool designed for dividend and fundamental investors, providing access to over 30 years of historical stock market data across more than 80,000 tickers. This product belongs to the Business & Finance category, offering essential insights such as dividends, yields, payout ratios, and growth rates directly within Google Sheets and Microsoft Excel. Users often seek alternatives to Dividend Data due to varying needs such as pricing considerations, specific feature requirements, or platform compatibility. When selecting an alternative, it’s crucial to evaluate aspects such as the comprehensiveness of data offered, ease of use, accessibility, and the overall value provided to ensure it meets your investment strategy and analytical goals.

QuickData.ai Alternatives

QuickData.ai is the premier AI-powered Excel add-in for multifamily real estate underwriting, automating the extraction of rent roll and T12 data. Professionals may seek alternatives for various strategic reasons, including specific budget constraints, a need for different platform integrations beyond Excel, or a desire for a broader suite of property management features not central to QuickData.ai's focused underwriting mission. When evaluating other solutions, discerning professionals prioritize core competencies. Essential criteria include the accuracy and reliability of automated data extraction, seamless integration with existing financial models, and robust security protocols for sensitive financial documents. The ultimate choice hinges on which platform most effectively eliminates manual data entry as a bottleneck, thereby accelerating deal analysis and enhancing competitive precision.

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