Top Food & Drink apps by revenue in 2026

5,293 food & drink app listings tracked by Peekly, with the top 100 ranked by estimated monthly store revenue and updated daily.

According to Peekly's August 7, 2026 dataset, ReciMe: Recipes & Meal Planner is the highest-ranked food & drink listing by estimated monthly store revenue at $2.0M.

Listings tracked: 5,293
Top estimate: $2.0M/mo
Median of top 100: $40k/mo
Stores in top 100: 69 iOS · 31 Android

Revenue ranking

Monthly store revenue estimates, ranked from highest to lowest.

Methodology

How this category ranking works

This page ranks qualifying food & drink App Store and Google Play listings by estimated monthly store revenue. Estimates use public rankings, download signals, monetization data and daily observations. Advertising revenue, web checkout revenue and audited company revenue are not included. The summary statistics describe the 100 listings shown here unless stated otherwise.

Read the full methodology

Frequently asked questions

What is the highest-grossing food & drink app right now?

In Peekly's August 7, 2026 dataset, ReciMe: Recipes & Meal Planner ranks first among qualifying food & drink app listings, with estimated monthly store revenue of $2.0M.

Are these food & drink app revenue figures official?

No. App stores do not publish revenue by app. Peekly labels these values as estimates derived from public store rankings, download signals, monetization data and daily observations.

Why can the same product appear twice?

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.

How often is this category ranking updated?

Peekly refreshes its underlying app data daily and regenerates the public category ranking from the latest available observations.

Category context

Compare this category with the wider app market

See how every mobile app category ranks by estimated store revenue and current momentum in Peekly's live dataset.