Top Finance — Top Grossing apps in Portugal 🇵🇹
As of June 11, 2026, TradingView: Track All Markets is the #1 Finance — Top Grossing app in Portugal on Android.
#App / PublisherCategoryIntel
- 1
- 2
- 31
- 43
- 5NEW
- 63
- 71
- 8NEW—
- 9NEW
- 109—
- 1116
Utilities - 12NEW
- 13NEW
- 14NEW—
- 15NEW—
- 1610
- 17NEW
- 18NEW—
- 199
- 205—
- 218—
- 22NEW—
- 23NEW
- 24NEW
- 253
- 264
- 27NEWBankin'
Bankin SAS
— - 2810
- 2913—
- 30NEW—
- 3122CNBC: Business & Stock News
Versant Media, LLC
— - 322—
- 3310
Finanças - 34NEW—
- 3515—
- 36NEW—
- 3718
- 38NEW—
- 3913—
- 4024
- 4112—
- 42NEW—
- 43NEW
- 44NEW
- 4540—
- 46NEW—
- 47NEW
- 4818
Utilities - 4910
- 50NEW—
What changed
Movement between the previous day and June 11, 2026.
New entrants
- Treinta
#5
Risers
- MarketWatch - News & Data
#55 → #37
- Credit Card : Wallet & NFC
#27 → #11
Stock Events Portfolio Tracker#79 → #63
- BtcCoin-Cloud Miner Mining
#42 → #29
- Organizze: Finance tracker
#52 → #39
Fallers
- Toshl Finance - budget manager
#21 → #158
- CalcTape Calculator with Tape
#49 → #183
- Settle Up – Group Expenses
#47 → #166
- Daily Expenses 4
#37 → #155
Zenmoney: expense tracker#61 → #157
Methodology
Rankings are pulled daily from the Android store charts for Portugal. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Finance — Top Grossing app in Portugal on Android?
As of June 11, 2026, TradingView: Track All Markets is the #1 Finance — Top Grossing app in Portugal on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for Portugal every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public Android store charts for Portugal. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.