# United Kingdom Trade in Goods: Mechanical machinery (intermediate) (7MI): EU: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Mechanical machinery (intermediate) (7MI): EU: Imports: BOP: CVM: SA () was up 9.9% year on year in September 2026, compared with 6.7% in August 2026.
The level stood at 1,824.0 £m.
Over the past ten years it has ranged from −52.2% (May 2020) to 114.8% (Apr 2021), averaging 7.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SHPG.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-mechanical-machinery-intermediate-7mi-eu-imports-bop-cvm

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,824.0 £m | 9.9 |
| August 2026 | 1,796.0 £m | 6.7 |
| July 2026 | 1,725.0 £m | −3.1 |
| June 2026 | 1,618.0 £m | −2.8 |
| May 2026 | 1,809.0 £m | 5.2 |
| April 2026 | 1,843.0 £m | 13.8 |
| March 2026 | 1,799.0 £m | 2.8 |
| February 2026 | 1,708.0 £m | −12.5 |
| January 2026 | 1,778.0 £m | 3.9 |
| December 2025 | 1,674.0 £m | −8.2 |
| November 2025 | 1,854.0 £m | 8.9 |
| October 2025 | 1,870.0 £m | 23.8 |
| September 2025 | 1,660.0 £m | −1.2 |
| August 2025 | 1,684.0 £m | −3.8 |
| July 2025 | 1,781.0 £m | 17.6 |
| June 2025 | 1,664.0 £m | −4.4 |
| May 2025 | 1,720.0 £m | 9.1 |
| April 2025 | 1,619.0 £m | −2.9 |
| March 2025 | 1,750.0 £m | 32.5 |
| February 2025 | 1,953.0 £m | 26.1 |
| January 2025 | 1,712.0 £m | 7.5 |
| December 2024 | 1,824.0 £m | 0.4 |
| November 2024 | 1,702.0 £m | 5.5 |
| October 2024 | 1,511.0 £m | −6.5 |

## API

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

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