# United States Commercial and Industrial Loans, All Commercial

United States Commercial and Industrial Loans, All Commercial was up 10.0% year on year in September 2026, compared with 9.5% in August 2026.
The level stood at 2,959.0 USD bn.
That is the highest reading since March 2023.
Over the past ten years it has ranged from −16.2% (May 2021) to 30.1% (May 2020), averaging 3.8%.
The next update is expected on 13 November 2026.

- Source agency: Board of Governors of the Federal Reserve System (Data Download Program)
- Makrognosis code: `US.CILOANS.M.SA`
- Frequency: monthly
- Units: USD bn
- Coverage: 1966-01-01 to 2026-09-01 (729 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/commercial-and-industrial-loans-all-commercial

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,959.0 USD bn | 10.0 |
| August 2026 | 2,934.4 USD bn | 9.5 |
| July 2026 | 2,888.2 USD bn | 8.3 |
| June 2026 | 2,897.6 USD bn | 8.2 |
| May 2026 | 2,885.7 USD bn | 8.0 |
| April 2026 | 2,855.4 USD bn | 7.5 |
| March 2026 | 2,819.6 USD bn | 5.6 |
| February 2026 | 2,782.6 USD bn | 4.2 |
| January 2026 | 2,736.0 USD bn | 2.5 |
| December 2025 | 2,708.5 USD bn | −2.3 |
| November 2025 | 2,700.8 USD bn | −3.3 |
| October 2025 | 2,692.3 USD bn | −3.4 |
| September 2025 | 2,691.0 USD bn | −3.1 |
| August 2025 | 2,679.8 USD bn | −3.0 |
| July 2025 | 2,665.6 USD bn | −3.2 |
| June 2025 | 2,677.9 USD bn | −3.0 |
| May 2025 | 2,670.9 USD bn | −3.0 |
| April 2025 | 2,657.3 USD bn | −3.1 |
| March 2025 | 2,671.0 USD bn | −2.8 |
| February 2025 | 2,671.4 USD bn | −3.4 |
| January 2025 | 2,668.4 USD bn | −3.4 |
| December 2024 | 2,771.0 USD bn | 0.2 |
| November 2024 | 2,793.4 USD bn | 0.9 |
| October 2024 | 2,787.0 USD bn | 0.5 |

## API

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

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