# Euro Area Narrow Money (M1)

Euro Area Narrow Money (M1) was up 4.0% year on year in September 2026, compared with 4.1% in August 2026.
The level stood at 11,333,724 EUR millions.
That is the lowest reading since February 2025.
Over the past ten years it has ranged from −10.4% (Aug 2023) to 15.5% (Feb 2021), averaging 5.4%.

- Source agency: European Central Bank
- Makrognosis code: `EA.M1.M.SA`
- Frequency: monthly
- Units: EUR millions
- Coverage: 1996-01-01 to 2026-09-01 (369 observations)
- Page: https://makrognosis.robomacro.com/data/euro-area/narrow-money-m1

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 11,333,724 EUR millions | 4.0 |
| August 2026 | 11,296,114 EUR millions | 4.1 |
| July 2026 | 11,291,868 EUR millions | 4.4 |
| June 2026 | 11,325,136 EUR millions | 4.8 |
| May 2026 | 11,296,503 EUR millions | 4.9 |
| April 2026 | 11,278,885 EUR millions | 5.0 |
| March 2026 | 11,278,092 EUR millions | 5.7 |
| February 2026 | 11,213,312 EUR millions | 5.3 |
| January 2026 | 11,196,574 EUR millions | 5.7 |
| December 2025 | 11,090,495 EUR millions | 4.7 |
| November 2025 | 11,029,100 EUR millions | 4.7 |
| October 2025 | 11,004,166 EUR millions | 5.3 |
| September 2025 | 10,902,997 EUR millions | 4.8 |
| August 2025 | 10,848,436 EUR millions | 4.8 |
| July 2025 | 10,819,576 EUR millions | 5.1 |
| June 2025 | 10,809,812 EUR millions | 4.8 |
| May 2025 | 10,772,442 EUR millions | 5.1 |
| April 2025 | 10,737,319 EUR millions | 4.8 |
| March 2025 | 10,673,105 EUR millions | 4.2 |
| February 2025 | 10,646,943 EUR millions | 3.8 |
| January 2025 | 10,590,037 EUR millions | 3.1 |
| December 2024 | 10,590,975 EUR millions | 2.4 |
| November 2024 | 10,538,782 EUR millions | 1.7 |
| October 2024 | 10,449,786 EUR millions | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/EA.M1.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/EA.M1.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```