# Canada Narrow Money (M1)

Canada Narrow Money (M1) was up 7.0% year on year in August 2026, compared with 7.5% in July 2026.
The level stood at 1,824,265 CAD million.
Among the 9 economies Makrognosis covers on this measure, it is the 3rd highest.
Over the past ten years it has ranged from −7.5% (May 2023) to 30.0% (Nov 2020), averaging 8.1%.
The next update is expected on 23 November 2026.

- Source agency: Bank of Canada
- Makrognosis code: `CA.M1.M.SA`
- Frequency: monthly
- Units: CAD million
- Coverage: 2006-01-01 to 2026-08-01 (248 observations)
- Page: https://makrognosis.robomacro.com/data/canada/narrow-money-m1

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 1,824,265 CAD million | 7.0 |
| July 2026 | 1,814,183 CAD million | 7.5 |
| June 2026 | 1,800,198 CAD million | 7.4 |
| May 2026 | 1,785,441 CAD million | 7.2 |
| April 2026 | 1,770,439 CAD million | 7.0 |
| March 2026 | 1,758,275 CAD million | 6.6 |
| February 2026 | 1,751,500 CAD million | 6.7 |
| January 2026 | 1,742,410 CAD million | 6.6 |
| December 2025 | 1,737,393 CAD million | 7.7 |
| November 2025 | 1,741,368 CAD million | 8.6 |
| October 2025 | 1,728,393 CAD million | 8.7 |
| September 2025 | 1,711,845 CAD million | 8.8 |
| August 2025 | 1,705,107 CAD million | 9.1 |
| July 2025 | 1,687,204 CAD million | 8.0 |
| June 2025 | 1,676,819 CAD million | 7.9 |
| May 2025 | 1,665,762 CAD million | 8.1 |
| April 2025 | 1,654,377 CAD million | 8.3 |
| March 2025 | 1,649,599 CAD million | 9.2 |
| February 2025 | 1,641,926 CAD million | 9.7 |
| January 2025 | 1,634,298 CAD million | 9.7 |
| December 2024 | 1,612,991 CAD million | 7.9 |
| November 2024 | 1,603,992 CAD million | 6.1 |
| October 2024 | 1,590,547 CAD million | 5.4 |
| September 2024 | 1,572,718 CAD million | 3.8 |

## API

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

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