Banknaked vs Dividend Data

Banknaked is an innovative financial tool that tackles the often-overlooked hidden costs of banking, empowering users to take control of their financial health. Designed for anyone feeling the pinch of unnecessary banking fees, whether you're a student managing a tight budget, a busy professional, or a family juggling expenses, Banknaked provides the transparency you need. By securely connecting to your bank account through Open Banking technology, it offers a detailed breakdown of monthly charges, transaction fees, and those pesky "misc" costs that banks tend to obscure. The main value proposition lies in its ability to reveal these hidden fees in plain language, supported by a visually engaging dashboard that clearly displays where your money is going. With personalized recommendations for more cost-effective banking options based on your actual usage, Banknaked not only helps you save money but also equips you with the insights needed to switch banks, negotiate fees, or eliminate unnecessary expenses altogether. Start using Banknaked for free today and only upgrade when you are ready to delve deeper into your finances. It's time to uncover the truth about your banking costs and regain control over your money.

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.