# United Kingdom Trade in Goods: Material manufatures (6): EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Material manufatures (6): EU: Imports: BOP: CVM: SA () was up 8.7% year on year in September 2026, compared with −1.0% in August 2026.
The level stood at 2,831.0 £m.
That is the highest reading since August 2024.
Over the past ten years it has ranged from −42.2% (May 2020) to 52.5% (May 2021), averaging −0.7%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.MEASURE-CVM.PARTNER-EU.SITC-6`
- Frequency: monthly
- Units: £m
- Coverage: 1997-01-01 to 2026-09-01 (357 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/trade-in-goods-material-manufatures-6-eu-imports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,831.0 £m | 8.7 |
| August 2026 | 2,650.0 £m | −1.0 |
| July 2026 | 2,616.0 £m | −0.4 |
| June 2026 | 2,616.0 £m | 3.8 |
| May 2026 | 2,632.0 £m | −2.4 |
| April 2026 | 2,630.0 £m | −2.5 |
| March 2026 | 2,597.0 £m | −5.1 |
| February 2026 | 2,645.0 £m | −6.9 |
| January 2026 | 2,582.0 £m | −2.0 |
| December 2025 | 2,614.0 £m | −0.7 |
| November 2025 | 2,671.0 £m | −4.5 |
| October 2025 | 2,595.0 £m | −8.0 |
| September 2025 | 2,605.0 £m | −4.7 |
| August 2025 | 2,677.0 £m | −5.5 |
| July 2025 | 2,627.0 £m | −1.9 |
| June 2025 | 2,520.0 £m | −13.3 |
| May 2025 | 2,696.0 £m | −1.3 |
| April 2025 | 2,698.0 £m | −1.2 |
| March 2025 | 2,738.0 £m | 3.8 |
| February 2025 | 2,841.0 £m | 5.0 |
| January 2025 | 2,634.0 £m | −3.4 |
| December 2024 | 2,633.0 £m | −3.5 |
| November 2024 | 2,798.0 £m | 3.3 |
| October 2024 | 2,820.0 £m | 4.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.MEASURE-CVM.PARTNER-EU.SITC-6"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.IMPORTS.M.SA.GRP-GOODS.MEASURE-CVM.PARTNER-EU.SITC-6",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```