Snowball: Dividend Compounding app icon

Apps Like Snowball: Dividend Compounding for iPhone and iPad

by Income Flow Tracker LLC★ 0.00 ratingsFinance$2.99Data updated 2026-09-29

Snowball: Dividend Compounding screenshots

Ranked alternatives

Showing 221–240 of 1,000 ranked alternatives.

  1. StockLight: NASDAQ Stocks News app icon

    StockLight: NASDAQ Stocks News

    StockLight Pty Ltd

    Track , research ideas, manage portfolio

    Track stock portfolios with real-time data and price alerts. Research using in- analysis tools. Monitor market trends and set investment goals. Access detailed company financials and . Place trades without commissions. Sync portfolio across devices.

    ★ 4.6155 ratingsFinanceFreeData updated 2026-09-08
  2. Ojus One app icon

    Ojus One

    Royal Monarch Fintech Private Limited

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-06
  1. RatioHub app icon

    RatioHub

    RatioHub Development And innovation in Financial Solutions Techniques LLC

    ★ 0.00 ratingsFinanceFreeData updated 2026-09-06
  2. Fedgroup app icon

    Fedgroup

    FEDGROUP HOLDINGS PTY LTD

    Invest in assets and track your portfolio

    Manage financial investments by purchasing Impact Farming assets and traditional securities. Track portfolio performance, set investment goals, and view detailed financial reports. Receive real-time updates on asset values and transaction history.

    ★ 4.315 ratingsFinanceFreeData updated 2026-09-15
  3. CommSec app icon

    CommSec

    Commonwealth Bank of Australia

    ★ 3.733 ratingsFinanceFreeData updated 2026-09-09
  4. S&P Stocks Ratings & Charts app icon

    S&P Stocks Ratings & Charts

    Stockring, Inc.

    Find stocks from S&P 1,500 index.

    The app provides stock ratings, forecasts, and recommendations for stocks within the S&P 1,500 index. Users can follow selected stocks, view charts, and access company news and fundamentals for analysis.

    ★ 4.436 ratingsFinanceFreeData updated 2026-09-13

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.