# United Kingdom Trade in Goods: Mechanical machinery (capital) (7MK): WW: Imports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Mechanical machinery (capital) (7MK): WW: Imports: BOP: CVM: SA () was up 13.4% year on year in September 2026, compared with 4.2% in August 2026.
The level stood at 2,196.0 £m.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −37.0% (Apr 2020) to 69.7% (May 2021), averaging 5.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-OKSM.MEASURE-CVM`
- 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-capital-7mk-ww-imports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,196.0 £m | 13.4 |
| August 2026 | 2,075.0 £m | 4.2 |
| July 2026 | 2,038.0 £m | 0.1 |
| June 2026 | 1,958.0 £m | 0.7 |
| May 2026 | 2,056.0 £m | 0.3 |
| April 2026 | 2,031.0 £m | 7.3 |
| March 2026 | 2,036.0 £m | 6.4 |
| February 2026 | 2,179.0 £m | 13.3 |
| January 2026 | 1,997.0 £m | 11.6 |
| December 2025 | 2,013.0 £m | 12.3 |
| November 2025 | 2,076.0 £m | 10.7 |
| October 2025 | 1,957.0 £m | 3.2 |
| September 2025 | 1,936.0 £m | 1.4 |
| August 2025 | 1,991.0 £m | 5.3 |
| July 2025 | 2,035.0 £m | 17.4 |
| June 2025 | 1,944.0 £m | −7.4 |
| May 2025 | 2,049.0 £m | 14.0 |
| April 2025 | 1,893.0 £m | −10.0 |
| March 2025 | 1,913.0 £m | 3.1 |
| February 2025 | 1,923.0 £m | 2.1 |
| January 2025 | 1,789.0 £m | −3.7 |
| December 2024 | 1,793.0 £m | −3.9 |
| November 2024 | 1,875.0 £m | −3.4 |
| October 2024 | 1,896.0 £m | −2.1 |

## API

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

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