# United States PCE: Services (SAAR)

United States PCE: Services (SAAR) was up 6.2% year on year in September 2026, compared with 6.2% in August 2026.
The level stood at 15,474,084 US$ million.
Over the past ten years it has ranged from −14.9% (Apr 2020) to 24.2% (Apr 2021), averaging 5.8%.

- Source agency: U.S. Bureau of Economic Analysis
- Makrognosis code: `US.PCE.M.SA.GRP-SERVICES`
- Frequency: monthly
- Units: US$ million
- Coverage: 1966-01-01 to 2026-09-01 (729 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/pce-services-saar

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 15,474,084 US$ million | 6.2 |
| August 2026 | 15,396,023 US$ million | 6.2 |
| July 2026 | 15,303,871 US$ million | 6.1 |
| June 2026 | 15,221,619 US$ million | 6.2 |
| May 2026 | 15,150,847 US$ million | 6.3 |
| April 2026 | 15,022,944 US$ million | 5.8 |
| March 2026 | 14,909,741 US$ million | 5.5 |
| February 2026 | 14,855,753 US$ million | 5.8 |
| January 2026 | 14,825,374 US$ million | 5.6 |
| December 2025 | 14,750,117 US$ million | 5.4 |
| November 2025 | 14,693,220 US$ million | 5.8 |
| October 2025 | 14,645,083 US$ million | 6.0 |
| September 2025 | 14,577,013 US$ million | 6.2 |
| August 2025 | 14,497,382 US$ million | 6.1 |
| July 2025 | 14,427,084 US$ million | 6.3 |
| June 2025 | 14,331,539 US$ million | 6.0 |
| May 2025 | 14,247,994 US$ million | 6.0 |
| April 2025 | 14,193,042 US$ million | 6.1 |
| March 2025 | 14,131,399 US$ million | 6.1 |
| February 2025 | 14,041,284 US$ million | 6.0 |
| January 2025 | 14,036,017 US$ million | 6.9 |
| December 2024 | 13,988,624 US$ million | 7.3 |
| November 2024 | 13,889,283 US$ million | 7.0 |
| October 2024 | 13,817,440 US$ million | 7.3 |

## API

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

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