Dividend Data vs QR Menu Ninja
Side-by-side comparison to help you choose the right AI tool.
Dividend Data
Effortlessly access 30+ years of dividend data and financials for 80,000 stocks directly in Google Sheets or Excel with instant formulas.
Last updated: March 11, 2026
QR Menu Ninja
QR Menu Ninja lets restaurants create fast, mobile-friendly QR code menus that are easy to update, share, and manage—no apps required.
Visual Comparison
Dividend Data

QR Menu Ninja

Overview
About Dividend Data
Dividend Data is an innovative tool designed to simplify the way dividend and fundamental investors access stock market data. With over 30 years of comprehensive historical data for more than 80,000 tickers, Dividend Data integrates seamlessly into Google Sheets and Microsoft Excel, allowing users to access critical investment information without the hassle of API keys, coding, or manual data entry. The platform is tailored specifically for dividend investors, offering instant access to vital metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, and price history. With a simple formula, investors can retrieve live data directly in their spreadsheets, making it easier than ever to make informed investment decisions. Built by a dividend investor for dividend investors, Dividend Data empowers users to harness institutional-grade data without the hefty price tag, ensuring that every investor can enhance their portfolio management strategies effectively.
About QR Menu Ninja
QR Menu Ninja is a simple, fast solution that helps restaurants create and manage digital QR code menus. It allows owners to update prices, items, and availability instantly without reprinting menus or relying on third-party platforms. Designed for mobile-first use, QR Menu Ninja delivers clean, easy-to-read menus that work on any device—no app downloads required. It’s ideal for cafés, bars, and restaurants that want a modern, contactless menu experience while keeping full control over their content and branding.