Top Food & Drink — Top Grossing apps in Singapore 🇸🇬
As of June 21, 2026, Eatr: Tasty Cooking Recipes is the #1 Food & Drink — Top Grossing app in Singapore on iOS.
#App / PublisherCategoryIntel
- 13

- 21

- 334

- 416

- 54

- 63

- 760
Comida y bebida - 8NEW

- 97

- 103—
- 116

- 122

- 137

- 141

- 158

- 16NEW
Eten en drinken - 177

- 186

- 1912

- 2012

- 219

- 2211

- 233

- 24NEW

- 259

- 269

- 279

- 289
Comida y bebida - 298

- 308

- 317

- 327
Comida y bebida - 336

- 346

- 356

- 365
Mat och dryck - 375

- 385
クラシル - 毎日の献立に!レシピ動画で料理がおいしく作れるKurashiru, Inc
Gastronomia e bebidas - 395
懒饭 - 美食视频菜谱下厨房
- 405

- 415

- 424

- 434

- 444

- 454

- 464
美食佳飲 - 474

- 484

- 494
Cuisine et boissons - 504

What changed
Movement between the previous day and June 21, 2026.
New entrants




月刊専門料理#95
Risers
Fou de Pâtisserie#67 → #7
Pam Fitness & Food#37 → #3
Mob: Meal Planner and Recipes#20 → #4
HalalChecker AI: Halal Scanner#30 → #21
Sidekick by Sorted Food#68 → #59
Fallers
Pestle: Recipe Manager#55 → #98
taste.com.au recipes#62 → #97
Yoomla・Recipe Keeper & Planner#7 → #19
Scoolinary: Cook Online#8 → #20
Love, Manuela#11 → #22
Methodology
Rankings are pulled daily from the iOS store charts for Singapore. 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 Food & Drink — Top Grossing app in Singapore on iOS?
As of June 21, 2026, Eatr: Tasty Cooking Recipes is the #1 Food & Drink — Top Grossing app in Singapore on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Singapore 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 Singapore. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.