Top Finance — Top Grossing apps in Netherlands 🇳🇱
As of June 3, 2026, Dyme: Budget, Geld & Kasboek is the #1 Finance — Top Grossing app in Netherlands on iOS.
#App / PublisherCategoryIntel
- 1
Finanzas - 2
- 316
Financiën - 41
- 516
- 62
- 71
- 83
- 92
- 101
- 112
- 124
Financiën - 133—
- 144
Financiën - 15NEW
- 16NEW
- 172
Financiën - 181
- 1945
- 208
Finanzas - 2129
- 22NEW
- 2317
- 2410
- 254
- 2674
- 27NEW
Financiën - 286
Finanzen - 29NEW
- 3017
- 3111
- 323
Financiën - 3321
- 34NEW
- 35NEW
- 36NEW
- 37NEW
- 3820
- 39NEW
Finanzas - 4053
- 417
- 42NEW
- 4317
- 4422
Financiën - 4514
Finans - 46NEW
- 4724—
- 485
Finanzas - 4925
- 50NEW
Finanzas
What changed
Movement between the previous day and June 3, 2026.
New entrants
- Hammer Elite
#15
- altFINS
#22
Risers
- Money Pro: Personal Finance AR
#100 → #26
- Budget Bestie
#93 → #40
- TipRanks Stock Market Analysis
#64 → #19
- Wallet - Daily Budget & Profit
#50 → #21
- Urenapp - Overal toegankelijk
#66 → #44
Fallers
SBC#58 → #91
Tickertape: US & Indian Stocks#59 → #92
MEW crypto wallet: DeFi Web3#60 → #93
Crypto Pro: Live Coin Tracker#28 → #60
Fudget: Monthly Budget Planner#32 → #64
Methodology
Rankings are pulled daily from the iOS store charts for Netherlands. 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 Netherlands on iOS?
As of June 3, 2026, Dyme: Budget, Geld & Kasboek is the #1 Finance — Top Grossing app in Netherlands on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Netherlands 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 iOS store charts for Netherlands. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.