What is the top grossing mobile app right now?
In Peekly's current dataset, Google One ranks first by estimated monthly store revenue. The ranking can change as store positions and monetization signals change.
Peekly Data Report
The 100 mobile app listings with the highest estimated monthly store revenue in Peekly's current dataset. Compare revenue, downloads, categories and publishers in one live ranking.
According to Peekly's August 7, 2026 dataset, Google One ranks first among the mobile app listings in this report by estimated monthly store revenue.
Store revenue and iOS downloads are estimates. Values are not audited financial results.
Peekly ranks publishable App Store and Google Play listings by estimated monthly store revenue. The same product can appear once per store because each listing has separate signals. Estimates combine public store rankings, download signals, monetization data and daily observations. Advertising revenue, web checkout revenue and audited company revenue are not included.
Full methodology and limitationsA ranking is a starting point, not an app idea by itself. Open a listing to compare its downloads, ratings, store position, pricing and similar apps. Look for repeatable problems and monetization patterns before deciding what to build.
Explore the full datasetIn Peekly's current dataset, Google One ranks first by estimated monthly store revenue. The ranking can change as store positions and monetization signals change.
No. App stores do not publish revenue by app. Peekly labels these values as estimates derived from public rankings, download signals, monetization data and daily observations.
The ranking focuses on estimated App Store and Google Play revenue. It does not claim to include advertising revenue, payments completed on the web or audited company revenue.
Peekly ranks store listings. A product available on both the App Store and Google Play can appear once per store because each listing has separate rankings, downloads and revenue signals.
Compare revenue, downloads, momentum, publishers and categories across the same Peekly dataset.