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Whatnot sales data

See what is selling on Whatnot.

Compare categories, sellers, products, revenue, and stream activity before you decide what to source or sell.

Data updated through August 18, 2026

CategoriesSee where sales and revenue are concentrated.

SellersSee who is moving products and running shows.

ProductsSee the item words appearing in current sales.

Top categories

Where buyers are spending now.

Sports Cards leads the current dataset with $252,188,971 in observed revenue and 6,975,822 sales.

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Rank Category Revenue Sales Streams
1 Sports Cards $252,188,971 6,975,822 157,420
2 Trading Card Games $80,308,499 4,621,562 84,404
3 Women's Fashion $57,464,730 4,472,716 95,409
4 Football Cards $52,410,316 1,273,487 29,282
5 Toys & Hobbies $38,532,081 2,754,552 101,216
6 Coins & Money $32,601,830 737,308 13,973
7 Basketball Cards $29,109,094 559,650 13,679
8 Pokémon Cards $28,620,334 1,564,798 28,686
9 Luxury Bags & Accessories $27,260,838 167,943 5,005
10 Coins & Bullion $26,151,252 597,007 11,170
11 Jewelry & Watches $25,668,317 1,233,970 27,973
12 Baseball Cards $21,696,523 834,976 20,101

Top sellers

See who is getting the sales.

wethehobby leads the current dataset with $12,570,263 in observed revenue. Use the wider table to compare sales, streams, viewers, and category.

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Rank Seller Revenue Sales Streams Avg Viewers Primary Category
1 wethehobby $12,570,263 18,206 76 140 Sports Cards
2 backyardbreaks $11,546,746 14,943 146 141 Sports Cards
3 backyardbuzz $9,584,693 17,054 70 483 Sports Cards
4 cardboard47 $9,425,296 16,922 123 207 Sports Cards
5 swishbreaks $8,971,931 17,940 96 105 Sports Cards
6 backyardrips $8,132,320 19,714 106 177 Sports Cards
7 debutsports_ $7,387,378 5,708 10 1,433 Sports Cards
8 viprips $5,868,434 23,424 59 38 Sports Cards
9 chip_rips $5,728,384 10,597 84 70 Sports Cards
10 bleacherhits $5,078,936 12,317 70 64 Sports Cards
11 daley_sports $4,503,794 14,076 20 795 Basketball Cards
12 citybreaks $4,444,351 27,828 126 36 Sports Cards

Top products

See which item words keep showing up.

Gtd Case Hit leads the current product view with $19,691,509 in observed revenue. Treat each keyword as a lead, then check the exact item and condition.

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Rank Item / Keyword Revenue Sales Trend
1 Gtd Case Hit $19,691,509 61,452 -26.31%
2 Random Team Break $14,638,947 223,750 77.86%
3 Case Topps Chrome $14,579,678 77,101 -61.06%
4 Case Hit Floor $13,559,460 44,963 -19.05%
5 Sudden Death Auctions $13,085,369 55,348 9.12%
6 Full Case Topps $11,078,522 71,687 -35.48%
7 Topps Chrome Basketball $7,928,608 103,123 -48.24%
8 Chrome Breakers Delight $7,337,004 24,656 -82.38%
9 Case Hit Gtd $6,639,495 10,734 -34.97%
10 Topps Chrome Breakers $6,438,607 14,187 -85.38%
11 Hit Floor Boxes $6,398,794 29,972 -16.47%
12 Topps Chrome Hobby $6,104,720 172,963 -55.65%

Use the data well

Turn a market signal into a small, testable plan.

The biggest number is not automatically the best fit. Pair demand with your costs, inventory access, and ability to run the show.

01

Choose a lane.

Shortlist categories with real sales and enough stream activity to learn from.

02

Check the margin.

Run a likely sale price through the fee calculator before you buy inventory.

Calculate Whatnot fees
03

Test before you scale.

Try a small inventory batch, review the result, and adjust the next show.

Questions?

How to read this Whatnot data.

Use the current totals as a starting point, then check the exact economics for your items.

The public Whatnot data pages include aggregate category, seller, product, keyword, revenue, stream, and sales-volume signals from the current Resellbot marketplace cache.

This page reads from the site's Whatnot marketplace JSON. When that JSON cache refreshes and deploys, the data-backed copy updates with it.

Use it as a research starting point. Validate exact products, sourcing cost, condition, shipping, stream format, and seller fees before buying inventory.

Need the full picture?

Research the sellers and sales behind the totals.

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