The Dunk Low is the most traded sneaker on StockX, so "what is my Dunk worth?" is a question a lot of people ask. I pulled the first 40 results for the search "nike dunk low" from StockX on October 21, 2026 and looked at what they actually sold for over the last 90 days.
Short version: the pairs that trade the most sell under retail, and almost all of the premium sits in a small group of SB collabs.
The sample
- Source: StockX search "nike dunk low", first 40 products (StockX's own relevance order)
- Pulled: 2026-10-21 with the StockX Scraper on Apify (one run, 22 seconds)
- Fields used:
avgPrice90d,salesCount90d,lastSale,pricePremiumPct(StockX's own premium vs retail) - The search also returns a few Dunk Highs and one GS (kids) size run; I kept them and labeled them
Finding 1: 23 of 40 trade below retail
| Premium vs retail | Pairs |
|---|---|
| Below retail | 23 |
| 0% to +50% | 8 |
| +50% to +100% | 6 |
| Over +100% | 3 |
More than half of the sample sells for less than its retail price. If you are buying a general-release Dunk, the resale market is often the cheaper place to buy it.
Finding 2: the volume leaders are the discounted ones
Top 5 by sales in the last 90 days:
| Pair | Sales (90d) | Avg price (90d) | Premium |
|---|---|---|---|
| Dunk Low Retro White Black "Panda" | 2,370 | $72 | -47% |
| Dunk Low Retro "Panda" (Women's) | 1,333 | $54 | -57.4% |
| Dunk Low Retro Khaki Team Red Pearl White (Women's) | 1,280 | $146 | +55.5% |
| Dunk Low White Light Smoke Grey | 1,197 | $69 | -52.2% |
| Dunk Low Pro SB Black White Gum | 835 | $117 | -8.7% |
The Panda alone did 2,370 sales in 90 days (12,107 in a year) at an average of $72, about half of retail. Four of the five most traded pairs sell below retail. Volume and premium are not the same thing.
Finding 3: the premium lives in SB collabs
| Pair | Avg price (90d) | Premium | Sales (90d) |
|---|---|---|---|
| SB Dunk Low "Mummy" | $453 | +571.2% | 100 |
| SB Dunk Low Concepts "Orange Lobster" | $397 | +183.3% | 366 |
| SB Dunk Low Futura Laboratories "Bleached Aqua" | $265 | +129.6% | 340 |
| SB Dunk Low Pro "White Gum" | $161 | +81.8% | 316 |
| SB Dunk Low "Nardwuar" | $172 | +70.4% | 813 |
All five of the biggest premiums in the sample are SB Dunks, and four of them are collaborations. They also trade far less: the Mummy did 100 sales in 90 days against 2,370 for the Panda.
Finding 4: Halloween Dunks do not all hold up
It is October, so I looked at the spooky ones in the sample:
| Pair | Avg price (90d) | Premium | Sales (90d) |
|---|---|---|---|
| SB Dunk Low "Mummy" (2021) | $453 | +571.2% | 100 |
| Dunk Low "Shibuya Halloween" (release 2026-10-23) | $239 | +7.7% | 12 |
| SB Dunk Low "Krampus" | $101 | -6.2% | 252 |
| Dunk Low Retro QS "Halloween Skull" (2024) | $96 | -47.9% | 158 |
The 2021 SB Mummy is the most expensive pair in the whole pull, while the 2024 Halloween Skull GR sells at about half of retail. The Shibuya pair has only 12 pre-release sales, which is too few to say anything yet.
How to pull this yourself
Run the StockX Scraper with this input:
{
"queries": ["nike dunk low"],
"maxProductsPerInput": 40
}
There is also a ready-made example task for this search: Nike Dunk Low prices. The output has one row per product with avgPrice90d, salesCount90d, salesCountYear, lastSale, pricePremiumPct, volatility and the product URL. A run of 40 products took 22 seconds.
Cleaning I did:
- Kept StockX's
pricePremiumPctas is instead of computing my own (theretailPricefield came back empty for this search). - Labeled the Dunk Highs and the GS (kids) Panda instead of dropping them, since they show up in the same search a buyer would run.
- Used
avgPrice90dfor "what it sells for" andlastSaleonly as a single data point.
Limits
- 40 products, one search, one day. StockX's search order decides which 40 you get.
- 90-day averages mix all sizes. Size changes the price a lot (see my Jordan 4 size breakdown).
- Premium is StockX's number against the original retail price, not adjusted for fees or inflation.
- A brand-new release like the Shibuya Halloween pair has too few sales to trust.
If you want to track a specific pair over time, schedule the same input daily and compare avgPrice90d week by week.
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