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 represents a significant evolution in multifamily real estate underwriting, designed to streamline processes that have historically been labor-intensive and prone to errors. This powerful Excel add-in caters specifically to acquisitions teams, brokers, lenders, and accounting firms, aiming to transform how these professionals handle critical data. By automating the tedious task of data entry from essential documents such as rent rolls, trailing twelve-month (T12) financial statements, and offering memorandums (OMs), QuickData.ai allows users to focus on strategic decision-making rather than on manual data manipulation. With specialized AI technology, the platform efficiently parses, extracts, and structures data directly into existing Excel models, drastically reducing the time required for deal analysis from days to mere minutes. The value proposition is compelling: professionals can reclaim an average of 15 hours per month, increase deal volume without the need for additional staff, and enhance the accuracy of investment decisions by eliminating human errors in data transfer. QuickData.ai is not just a tool; it is a catalyst for the next stage in the evolution of modern real estate analysis.