# United Kingdom Trade in Goods: Cars (78M): Non-EU: Exports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Cars (78M): Non-EU: Exports: BOP: CVM: SA () was up 95.5% year on year in September 2026, compared with −39.0% in August 2026.
The level stood at 1,353.0 £m.
That is the highest reading since May 2021.
Over the past ten years it has ranged from −87.4% (May 2020) to 819.5% (May 2021), averaging 8.9%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EXPORTS.M.SA.GRP-GOODS.ITEM-SKWX.MEASURE-CVM.PARTNER-NONEU`
- 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-cars-78m-non-eu-exports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,353.0 £m | 95.5 |
| August 2026 | 1,201.0 £m | −39.0 |
| July 2026 | 1,403.0 £m | −16.6 |
| June 2026 | 1,480.0 £m | 5.0 |
| May 2026 | 1,492.0 £m | −1.5 |
| April 2026 | 1,224.0 £m | −34.4 |
| March 2026 | 1,314.0 £m | −41.5 |
| February 2026 | 1,251.0 £m | −21.3 |
| January 2026 | 1,229.0 £m | −28.7 |
| December 2025 | 1,366.0 £m | −24.1 |
| November 2025 | 1,353.0 £m | −27.8 |
| October 2025 | 914.0 £m | −44.9 |
| September 2025 | 692.0 £m | −63.6 |
| August 2025 | 1,968.0 £m | −2.5 |
| July 2025 | 1,683.0 £m | −18.5 |
| June 2025 | 1,409.0 £m | −27.7 |
| May 2025 | 1,515.0 £m | −26.6 |
| April 2025 | 1,866.0 £m | 13.2 |
| March 2025 | 2,247.0 £m | 6.4 |
| February 2025 | 1,589.0 £m | −24.0 |
| January 2025 | 1,724.0 £m | −15.3 |
| December 2024 | 1,800.0 £m | −8.5 |
| November 2024 | 1,874.0 £m | −1.2 |
| October 2024 | 1,660.0 £m | −21.7 |

## API

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

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