Key Takeaways
- 37% of online consumers say they have returned an item at least once in the past three months
- 6% of consumers report making returns often (every month)
- 17% of retailers said returns have increased significantly over the past year (U.S. retail survey)
- Returns reduce gross margin by 10% in the U.S. ecommerce market (share of margin lost due to returns)
- Return fraud can account for a measurable portion of return volume, with some reports estimating 5%–10% of returned merchandise is fraudulent (range cited in report)
- A 2020–2021 reverse logistics benchmark report estimated the cost per return shipment is in the tens of dollars range (benchmark with numeric cost range)
- 82% of shoppers expect retailers to offer easy return processes
- 30%–40% of online shoppers say they buy with the intent to return an item if it doesn't meet expectations
- In a study of online apparel returns, rates increased by about 4 percentage points when fit information was incomplete (reported sensitivity to product information completeness)
- Adidas reported returns rates of about 20% for some ecommerce categories in investor materials (company-reported range)
- A 2020 study found that inaccurate product information (size/fit) was a leading cause of returns in ecommerce, cited in a statistical results table (quantified share)
- In apparel, return rates are commonly reported in the range of 20%–30% for online orders
- In 2021, ecommerce generated 27% of total retail sales in the U.S., providing the base over which returns apply (ecommerce share of retail sales)
- In 2023, U.S. ecommerce sales reached $1.12 trillion (annual sales, base for return-rate effects)
- In the U.S., the U.S. Postal Service reported that package returns constitute a measurable share of parcel volume in seasonal periods (notably holiday), with return shipments concentrated in Q4
Up to 37% of shoppers return items online, cutting margins and raising environmental and fraud costs.
Related reading
01 · Category
Industry Trends9 stats
Industry Trends Interpretation
02 · Category
Cost Analysis4 stats
Cost Analysis Interpretation
03 · Category
User Adoption3 stats
User Adoption Interpretation
More related reading
04 · Category
Performance Metrics5 stats
Performance Metrics Interpretation
05 · Category
Market Size3 stats
Market Size Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marie Larsen. (2026, February 13). Ecommerce Return Rate Statistics. Gitnux. https://gitnux.org/ecommerce-return-rate-statistics
Marie Larsen. "Ecommerce Return Rate Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ecommerce-return-rate-statistics.
Marie Larsen. 2026. "Ecommerce Return Rate Statistics." Gitnux. https://gitnux.org/ecommerce-return-rate-statistics.
Sources & references
24 datasets cited across this report · attribution is report-level
+4 additional datasets cited (not shown individually)

