Industry report · Great Britain
Online retail sales by sector
Q3 2026
Household goods spending rose 7.9% from the previous quarter. Textile, clothing and footwear stores fell 4.9%. The overall online market was almost flat.
Source: ONS · Released October 23, 2026 · Checked October 29, 2026
Download the data (CSV)Online spending by retailer type
Change in online spending, adjusted for seasonal patterns.
July–September vs. April–June 2026
| Retailer type | Change |
|---|---|
| All retail excluding automotive fuel | -0.1% |
| Food stores | +0.6% |
| Department stores | -1.8% |
| Other non-food stores | +2.1% |
| Textile, clothing and footwear stores | -4.9% |
| Household goods stores | +7.9% |
| Non-store retailers | -0.6% |
Chart scale: −8% to +8%. Retailer types describe businesses, not individual products. Non-store retailers include online-only retailers, mail order, stalls, and markets.
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GB online spending grew 7.4% from Q3 2025 to Q3 2026. That market figure is seasonally adjusted; your raw store growth is not a like-for-like benchmark.
Textiles, clothing and footwear rose in September, but fell over the quarter
Online spending at textile, clothing and footwear stores rose 0.6% in September after falling 4.9% over the quarter. Check both views before treating a monthly improvement as a sustained recovery.
Household goods had the strongest quarterly growth
Online spending at household goods stores rose 7.9%, compared with 2.1% at other non-food stores. These broad groups do not show demand for a particular product.
Source and method
ONS Retail Sales Inquiry, Great Britain, released October 23, 2026. Charts show seasonally adjusted online spending values. Quarter: July–September vs. April–June 2026. Month: September vs. August 2026. The chart total excludes automotive fuel. Values are rounded to one decimal and may be revised.
These figures describe the wider retail market, including all online channels. They are not RetailerBoost results or Google Shopping performance benchmarks.
Read the ONS release · Get the original dataset · Open Government Licence v3.0
