# Australia Narrow Money (M1)

Australia Narrow Money (M1) was up 6.4% year on year in September 2026, compared with 6.5% in August 2026.
The level stood at 2,022.8 AUD billion.
That is the lowest reading since November 2024.
Among the 9 economies Makrognosis covers on this measure, it is the 4th highest.
Over the past ten years it has ranged from −4.1% (Jun 2023) to 38.7% (Jun 2020), averaging 10.7%.

- Source agency: Reserve Bank of Australia
- Makrognosis code: `AU.M1.M.NSA`
- Frequency: monthly
- Units: AUD billion
- Coverage: 2006-01-31 to 2026-09-30 (249 observations)
- Page: https://makrognosis.robomacro.com/data/australia/narrow-money-m1

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,022.8 AUD billion | 6.4 |
| August 2026 | 2,003.5 AUD billion | 6.5 |
| July 2026 | 2,025.3 AUD billion | 7.7 |
| June 2026 | 2,010.6 AUD billion | 8.6 |
| May 2026 | 1,978.5 AUD billion | 9.0 |
| April 2026 | 1,988.5 AUD billion | 9.5 |
| March 2026 | 1,976.0 AUD billion | 10.6 |
| February 2026 | 1,963.2 AUD billion | 11.2 |
| January 2026 | 1,961.1 AUD billion | 10.8 |
| December 2025 | 1,952.6 AUD billion | 10.7 |
| November 2025 | 1,936.6 AUD billion | 11.2 |
| October 2025 | 1,922.4 AUD billion | 10.7 |
| September 2025 | 1,901.4 AUD billion | 11.2 |
| August 2025 | 1,881.3 AUD billion | 11.0 |
| July 2025 | 1,880.5 AUD billion | 9.9 |
| June 2025 | 1,851.4 AUD billion | 10.4 |
| May 2025 | 1,814.8 AUD billion | 9.2 |
| April 2025 | 1,816.4 AUD billion | 8.8 |
| March 2025 | 1,786.9 AUD billion | 7.8 |
| February 2025 | 1,765.9 AUD billion | 7.4 |
| January 2025 | 1,770.6 AUD billion | 7.6 |
| December 2024 | 1,764.4 AUD billion | 7.5 |
| November 2024 | 1,741.4 AUD billion | 6.3 |
| October 2024 | 1,736.1 AUD billion | 6.3 |

## API

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

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