# United Kingdom Trade in Goods: Semi-manufactures (5and6): EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Semi-manufactures (5and6): EU: Imports: BOP: CVM: SA () was up 13.8% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 7,317.0 £m.
That is the highest reading since May 2022.
Over the past ten years it has ranged from −29.2% (Mar 2020) to 34.1% (Jan 2022), averaging 0.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SETL.MEASURE-CVM.PARTNER-EU`
- 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-semi-manufactures-5and6-eu-imports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7,317.0 £m | 13.8 |
| August 2026 | 6,757.0 £m | −0.3 |
| July 2026 | 6,561.0 £m | −1.7 |
| June 2026 | 6,491.0 £m | 0.08 |
| May 2026 | 6,571.0 £m | −5.2 |
| April 2026 | 6,603.0 £m | −1.9 |
| March 2026 | 6,470.0 £m | −3.0 |
| February 2026 | 6,692.0 £m | 0.5 |
| January 2026 | 6,383.0 £m | 1.8 |
| December 2025 | 6,413.0 £m | −2.1 |
| November 2025 | 6,631.0 £m | −1.9 |
| October 2025 | 6,413.0 £m | −4.5 |
| September 2025 | 6,428.0 £m | −3.2 |
| August 2025 | 6,779.0 £m | 5.1 |
| July 2025 | 6,674.0 £m | 1.8 |
| June 2025 | 6,486.0 £m | −5.9 |
| May 2025 | 6,933.0 £m | 9.2 |
| April 2025 | 6,731.0 £m | 1.3 |
| March 2025 | 6,669.0 £m | 0.8 |
| February 2025 | 6,658.0 £m | 4.2 |
| January 2025 | 6,268.0 £m | −2.7 |
| December 2024 | 6,550.0 £m | 5.0 |
| November 2024 | 6,758.0 £m | 7.3 |
| October 2024 | 6,716.0 £m | 8.0 |

## API

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

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