Banknaked vs Dividend Data

Banknaked represents a pivotal evolution in personal finance management, moving from passive acceptance to active control. It is a revolutionary financial transparency tool designed for the modern consumer who is ready to grow beyond being a passive account holder. By leveraging secure Open Banking connections, Banknaked performs a deep, automated analysis of your bank statements to expose the full spectrum of hidden costs—from monthly maintenance charges and foreign exchange markups to ATM and transaction fees that often go unnoticed. This tool is for anyone on a journey to financial optimization, whether you're taking your first steps toward fee awareness or are an experienced budgeter seeking to eliminate the last vestiges of wasteful spending. Its core value proposition is empowerment through clarity: transforming complex, opaque banking statements into a plain-language breakdown of your true banking costs, complete with annualized projections and personalized, actionable recommendations for cheaper alternatives. With a staunch privacy-first approach using read-only access and encrypted processing, Banknaked is your trusted ally in the progression toward complete financial transparency and significant long-term savings.

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.