# United Kingdom Trade in Goods: Scientific & photographic (87and88): WW: Exports: BOP: CVM: SA ()

United Kingdom Trade in Goods: Scientific & photographic (87and88): WW: Exports: BOP: CVM: SA () was up 9.6% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 1,524.0 £m.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −28.2% (Apr 2020) to 41.0% (May 2021), averaging 1.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EXPORTS.M.SA.GRP-GOODS.ITEM-OGSG.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-scientific-and-photographic-87and88-ww-exports-bop-cvm-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,524.0 £m | 9.6 |
| August 2026 | 1,376.0 £m | −0.3 |
| July 2026 | 1,425.0 £m | 0.6 |
| June 2026 | 1,348.0 £m | 6.8 |
| May 2026 | 1,380.0 £m | 6.8 |
| April 2026 | 1,349.0 £m | 3.5 |
| March 2026 | 1,290.0 £m | −1.3 |
| February 2026 | 1,314.0 £m | −1.3 |
| January 2026 | 1,378.0 £m | 2.8 |
| December 2025 | 1,400.0 £m | 8.9 |
| November 2025 | 1,350.0 £m | 3.2 |
| October 2025 | 1,354.0 £m | 2.2 |
| September 2025 | 1,390.0 £m | 8.6 |
| August 2025 | 1,380.0 £m | −1.4 |
| July 2025 | 1,417.0 £m | 11.3 |
| June 2025 | 1,262.0 £m | −10.0 |
| May 2025 | 1,292.0 £m | −9.6 |
| April 2025 | 1,304.0 £m | 0.08 |
| March 2025 | 1,307.0 £m | −2.2 |
| February 2025 | 1,331.0 £m | 1.1 |
| January 2025 | 1,341.0 £m | 3.2 |
| December 2024 | 1,286.0 £m | 0.2 |
| November 2024 | 1,308.0 £m | −2.1 |
| October 2024 | 1,325.0 £m | 4.0 |

## API

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

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