Online retail return rates reached 24.4% in the US in 2023, up from 20.8% earlier in the decade. Apparel shows the biggest fit signal, with 78% of online apparel returns tied to sizing and fit. Category outcomes follow fast, since damage, defects, and wrong-item shipments push electronics, furniture, and other segments upward.
Key Takeaways
- 78% of online apparel orders are returned due to fit issues
- Electronics returns for shoes average 50% in online fashion
- Furniture online returns reach 25-30% primarily for damage or wrong size
- Retailers lose $47 billion annually to return fraud in the US
- Processing one online return costs retailers up to $30-50, totaling $82 billion yearly
- Wardrobing (wear and return) costs fashion $20 billion annually
- 85% of consumers expect free returns, driving $50B policy costs
- Retailers with strict return policies see 20% lower return rates
- Buy Online Return In Store (BORIS) adopted by 60% retailers, reducing costs 30%
- In 2023, the average return rate for online retail purchases in the US reached 24.4%, up from 20.8% in 2021
- US e-commerce returns totaled $218 billion in lost merchandise sales in 2022, representing 16.5% of gross merchandise value
- Brick-and-mortar stores saw a return rate of 8.9% in 2023 compared to 24.4% for online
- Didn't fit/wrong size accounts for 58% of all apparel returns
- Changed mind is the top reason for 27% of general merchandise returns
- Defective/damaged goods cause 22% of electronics returns
Online retailers face return rates that peak in apparel, shoes, and electronics, with fraud and processing costs driving major losses.
Related reading
01 · Category
Category-Specific Returns22 stats
01
78% of online apparel orders are returned due to fit issues
02
Electronics returns for shoes average 50% in online fashion
03
Furniture online returns reach 25-30% primarily for damage or wrong size
04
Beauty product returns are 10-15% due to allergic reactions or color mismatch
05
Home improvement goods like paint return 20% for wrong shade
06
Toys return 15-20% post-holidays for dissatisfaction
07
Grocery online returns 8% for damaged or wrong items
08
Consumer electronics returns 15% for defects or wrong specs
09
Jewelry returns 7% mostly for sizing issues
10
Sporting goods returns 18% for fit or performance
11
Books return 5% for damage or wrong edition
12
Automotive parts 25% returns for incompatibility
13
Office supplies 10% for wrong quantity or defect
14
Pet products 12% for wrong size or allergy
15
Luggage returns 22% for damage during shipping
16
Watches 9% for battery or function issues
17
Handbags 20% for material quality complaints
18
Sunglasses 17% for prescription errors
19
Apparel returns in fast fashion brands like Shein hit 40%
20
Mattresses online returns average 15% for comfort issues
21
Kitchen appliances 14% returns for malfunction
22
Baby products 11% for safety concerns
Interpretation
Category-Specific Returns Interpretation
The retail industry's staggering, category-specific return rates collectively paint a portrait of the costly gap between a digital promise and a physical reality, proving that convenience often comes with a hefty side of logistical heartburn.
02 · Category
Financial Impact25 stats
01
Retailers lose $47 billion annually to return fraud in the US
02
Processing one online return costs retailers up to $30-50, totaling $82 billion yearly
03
Wardrobing (wear and return) costs fashion $20 billion annually
04
Empty box returns fraud $10 billion in 2023 US e-com
05
Returns reduce gross margins by 10-15% for apparel retailers
06
Logistics costs for returns are 15% higher than outbound shipping
07
20% of returns are never resold, leading to $40 billion inventory loss
08
Brick-and-mortar returns cost $15per item vs $25 online
09
Refund abuse costs $15-20 billion yearly in grocery
10
Electronics returns lead to $12 billion obsolescence loss
11
Furniture returns disposal costs $5 billion annually
12
International returns add 20% extra customs fees, $3 billion hit
13
Labor costs for returns processing up 25% post-pandemic
14
65% of returns are free shipping, costing $25 billion
15
Resale value of returned goods averages 50% of original price
16
Holiday returns spike costs retailers $100 billion in Q4
17
Small retailers lose 8% revenue to returns vs 5% large chains
18
Reverse logistics market valued at $700 billion globally 2023
19
Apparel returns erode 12% of EBITDA for mid-tier brands
20
Fraudulent returns insurance claims $2.5 billion yearly
21
40% of Gen Z buy-to-return, costing $30 billion
22
BOPIS returns reduce costs by 40% vs online, saving $10B
23
Used returns landfill waste costs $1 billion in disposal
24
Free returns policy increases sales 20% but costs 15% margins
25
AI fraud detection saves $5 billion in return losses annually
Interpretation
Financial Impact Interpretation
Retailers are hemorrhaging money through a thousand cuts, from fraudulent refunds and logistical nightmares to sheer waste, all while being squeezed by the double-edged sword of customer-friendly return policies.
03 · Category
Policy and Technology Impacts29 stats
01
85% of consumers expect free returns, driving $50B policy costs
02
Retailers with strict return policies see 20% lower return rates
03
Buy Online Return In Store (BORIS) adopted by 60% retailers, reducing costs 30%
04
RFID tagging reduces returns by 15% in apparel via better inventory
05
Extended return windows (60+ days) boost loyalty 18%
06
Virtual try-on tech lowers beauty returns by 35%
07
Blockchain for returns tracking piloted, reducing fraud 40%
08
70% consumers abandon carts if no free returns
09
Self-service return portals cut call center costs 50%
10
No-return policies for final sale items reduce abuse 22%
11
AR fitting rooms decrease apparel returns 28%
12
Machine learning predicts returns, optimizing inventory 20%
13
Partnered returns with UPS/FedEx save 15% logistics
14
Receiptless returns via app increase convenience, adopted 75%
15
Sustainability policies charge for returns, cutting volume 12%
16
Dynamic pricing for returns based on item condition, recovering 65% value
17
Mobile return labels generate 40% faster processing
18
Data analytics on returns patterns improve product dev 25%
19
Zero-waste return programs resell 80% goods
20
Customer segmentation for return policies boosts retention 15%
21
Integration of returns with CRM reduces repeat offenders 30%
22
3D body scanning cuts fit returns 32%
23
Automated sorting robots speed returns 50%
24
Policy transparency increases trust, sales up 10%
25
Gen Z favors eco-friendly return options, 55% switch brands
26
Cross-border return policies challenge 40% of global retailers
27
Voice commerce returns lower due to better descriptions, 10% less
28
Subscription box returns managed via credits, reducing cash refunds 25%
29
92% of consumers check return policy before purchase
Interpretation
Policy and Technology Impacts Interpretation
The retail returns landscape is a high-stakes ballet where customer convenience dances with cost control, and every statistic reveals a new step in the delicate choreography of giving shoppers what they want without giving away the store.
More related reading
04 · Category
Return Rates and Volumes29 stats
01
In 2023, the average return rate for online retail purchases in the US reached 24.4%, up from 20.8% in 2021
02
US e-commerce returns totaled $218 billion in lost merchandise sales in 2022, representing 16.5% of gross merchandise value
03
Brick-and-mortar stores saw a return rate of 8.9% in 2023 compared to 24.4% for online
04
During the 2022 holiday season, apparel returns hit 30% of sales volume online
05
Global retail returns are projected to reach $1.06 trillion by 2027, growing at 11.7% CAGR
06
In 2022, 30% of all US retail returns were fraudulent, costing retailers $101 billion
07
E-commerce fashion returns averaged 32.5% in Europe in 2023
08
US consumers returned $761 billion worth of goods in 2022 across all channels
09
Online returns in the UK stood at 27% in 2023, higher than the 22% EU average
10
Apparel and accessories had the highest return rate at 28% in US e-commerce in 2022
11
General merchandise return rates were 14.2% for online sales in 2023
12
In 2023, 67% of returns happened within 30 days of purchase
13
Footwear online returns averaged 25% globally in 2022
14
Consumer electronics returns were 12.5% in US retail in 2023
15
Home goods and furniture returns hit 20% online in 2022
16
Jewelry returns were lowest at 6.8% in e-commerce in 2023
17
Grocery online returns averaged 5.2% in 2023 due to perishables
18
Beauty products had 11% return rate online in US 2022
19
Toys and games returns were 15.4% during holidays 2022
20
Sporting goods returns averaged 18% online in 2023
21
Books and media returns were 4.7% in e-commerce 2023
22
Automotive parts online returns hit 22% in 2022
23
Office supplies returns were 9.3% online US 2023
24
Pet supplies returns averaged 13% in 2023 e-com
25
Luggage and bags returns 19.2% online 2022
26
Watches returns were 8.5% in luxury e-com 2023
27
Handbags online returns 21% in 2023
28
Sunglasses returns averaged 16.8% online 2022
29
Online returns processing costs retailers $55per return on average in 2023
Interpretation
Return Rates and Volumes Interpretation
It appears that the modern shopper has fully embraced the 'try before you buy' model, albeit at the retailer's staggering expense, turning our digital carts into glorified fitting rooms that cost the industry hundreds of billions to operate.
05 · Category
Return Reasons22 stats
01
Didn't fit/wrong size accounts for 58% of all apparel returns
02
Changed mind is the top reason for 27% of general merchandise returns
03
Defective/damaged goods cause 22% of electronics returns
04
Wrong item shipped leads to 15% of all online returns
05
Allergic reaction or skin issue for 18% beauty returns
06
Color/shade mismatch 25% for paint and cosmetics
07
Late arrival past return window 8% of returns
08
Poor quality/materials 20% of fashion returns
09
No longer needed 30% post-holiday toy returns
10
Duplicate purchase 12% of consumer returns
11
Shipping damage 16% for furniture/large items
12
Incorrect fit for footwear 45%
13
Technical malfunction 28% electronics
14
Gift returns 35% during holidays
15
Hygienic reasons prevent 40% of opened beauty returns
16
Assembly issues 10% furniture returns
17
Scent dissatisfaction 15% candles/fragrances
18
Performance not as expected 22% sporting goods
19
Wrong prescription 30% eyewear returns
20
Pet didn't like it 18% pet products
21
Size too small/large 60% kids clothing
22
Overbought 14% grocery returns
Interpretation
Return Reasons Interpretation
This bleak parade of data suggests the modern retail experience is a high-stakes comedy of errors, where shoppers, brands, and logistics are locked in a constant, costly tango of unmet expectations, bad guesses, and finicky pets.
Reference
Cite This Report
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APA
Thomas Lindqvist. (2026, February 13). Retail Returns Statistics. Gitnux. https://gitnux.org/retail-returns-statistics
MLA
Thomas Lindqvist. "Retail Returns Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/retail-returns-statistics.
Chicago
Thomas Lindqvist. 2026. "Retail Returns Statistics." Gitnux. https://gitnux.org/retail-returns-statistics.
Sources & references
86 datasets cited across this report · attribution is report-level
shopify.com
amazon.com