# United Kingdom AWE: Wholesale Trade Level (£): Non Seasonally Adjusted Bonus ()

United Kingdom AWE: Wholesale Trade Level (£): Non Seasonally Adjusted Bonus () was down 19.3% year on year in August 2026, compared with 50.8% in July 2026.
The level stood at 46.00 £/week.
That is the lowest reading since January 2025.
Over the past ten years it has ranged from −36.0% (May 2023) to 81.4% (Apr 2021), averaging 8.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.ITEM-K587.MEASURE-TOTAL.NACE-G46`
- Frequency: monthly
- Units: £/week
- Coverage: 2000-01-01 to 2026-08-01 (320 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-wholesale-trade-level-non-seasonally-adjusted-bonus

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 46.00 £/week | −19.3 |
| July 2026 | 92.00 £/week | 50.8 |
| June 2026 | 68.00 £/week | 28.3 |
| May 2026 | 84.00 £/week | 1.2 |
| April 2026 | 110.0 £/week | 46.7 |
| March 2026 | 248.0 £/week | 35.5 |
| February 2026 | 85.00 £/week | 51.8 |
| January 2026 | 60.00 £/week | 22.4 |
| December 2025 | 93.00 £/week | 16.3 |
| November 2025 | 66.00 £/week | 40.4 |
| October 2025 | 59.00 £/week | 18.0 |
| September 2025 | 69.00 £/week | −1.4 |
| August 2025 | 57.00 £/week | 46.2 |
| July 2025 | 61.00 £/week | 48.8 |
| June 2025 | 53.00 £/week | −18.5 |
| May 2025 | 83.00 £/week | 59.6 |
| April 2025 | 75.00 £/week | 15.4 |
| March 2025 | 183.0 £/week | 18.1 |
| February 2025 | 56.00 £/week | 24.4 |
| January 2025 | 49.00 £/week | −33.8 |
| December 2024 | 80.00 £/week | −1.2 |
| November 2024 | 47.00 £/week | −13.0 |
| October 2024 | 50.00 £/week | −31.5 |
| September 2024 | 70.00 £/week | 62.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K587.MEASURE-TOTAL.NACE-G46"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.ITEM-K587.MEASURE-TOTAL.NACE-G46",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```