# United Kingdom Trade in Goods: EU: Medicinal & pharmaceutical products (54): IM: BOP: CP: SA ()

United Kingdom Trade in Goods: EU: Medicinal & pharmaceutical products (54): IM: BOP: CP: SA () was up 42.0% year on year in September 2026, compared with 9.2% in August 2026.
The level stood at 2,131.0 £m.
That is the highest reading since November 2022.
Over the past ten years it has ranged from −46.1% (May 2023) to 115.2% (Mar 2019), averaging 5.3%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.IMPORTS.M.SA.GRP-GOODS.ITEM-SIRI.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-eu-medicinal-and-pharmaceutical-products-54-im-bop-cp-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,131.0 £m | 42.0 |
| August 2026 | 1,941.0 £m | 9.2 |
| July 2026 | 1,767.0 £m | 0.1 |
| June 2026 | 1,587.0 £m | −11.0 |
| May 2026 | 1,674.0 £m | −9.7 |
| April 2026 | 1,598.0 £m | −10.1 |
| March 2026 | 1,673.0 £m | 4.4 |
| February 2026 | 1,717.0 £m | 10.3 |
| January 2026 | 1,706.0 £m | 11.1 |
| December 2025 | 1,580.0 £m | −8.6 |
| November 2025 | 1,576.0 £m | −7.8 |
| October 2025 | 1,576.0 £m | −5.0 |
| September 2025 | 1,501.0 £m | −6.7 |
| August 2025 | 1,777.0 £m | 26.2 |
| July 2025 | 1,765.0 £m | 11.6 |
| June 2025 | 1,784.0 £m | 16.9 |
| May 2025 | 1,854.0 £m | 27.2 |
| April 2025 | 1,778.0 £m | 19.9 |
| March 2025 | 1,602.0 £m | 11.3 |
| February 2025 | 1,557.0 £m | 7.8 |
| January 2025 | 1,535.0 £m | 9.9 |
| December 2024 | 1,728.0 £m | 20.8 |
| November 2024 | 1,710.0 £m | 27.1 |
| October 2024 | 1,659.0 £m | 16.4 |

## API

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

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