Dividend Data vs QuickData.ai

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets — no API keys, no coding, no copying and pasting.

Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.

Just type a formula. The data appears live.

What makes it different:

• Free tier with 2,500 monthly credits — no trial expiration
• 16 custom functions covering everything dividend investors need
• 30+ years of historical data
• Works in both Google Sheets and Microsoft Excel
• Built by a dividend investor, for dividend investors

Used by fundamental investors who want institutional-grade data without the institutional price tag.

QuickData.ai is an innovative AI-powered Excel add-in specifically designed to streamline the data extraction and entry process for multifamily real estate underwriting. This tool is engineered to parse and structure essential financial information from industry-standard documents such as rent rolls, trailing twelve-month (T12) statements, and offering memorandums (OMs) directly into existing Excel financial models. It targets the significant challenges faced by acquisitions teams, brokers, lenders, and accounting firms, who often deal with time-consuming and error-prone manual data entry. QuickData.ai's primary value proposition lies in its ability to accelerate the underwriting workflow, allowing professionals to analyze potential deals within minutes rather than hours. Seamlessly integrated within the Microsoft Excel ecosystem, QuickData.ai ensures maximum compatibility with established underwriting templates, eliminating the need for complex data migration. Built on a tech stack tailored for the commercial real estate sector, it focuses on precision, speed, and direct integration with one of the most widely used analytical platforms in finance.