Universal Health Services (UHS) Other Operating Expenses (2009 - 2026)
Universal Health Services' Other Operating Expenses was $1.81 billion in Q2 2026, up 12.2% from $1.62 billion a year earlier and up 3.7% from the prior quarter.
Universal Health Services (UHS) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Universal Health Services' Other Operating Expenses was $7.07 billion through Jun 30, 2026, up 12.8% year-over-year; for FY2025, it came in at $6.67 billion, up 10.3% from FY2024.
- Other Operating Expenses has now increased for 15 consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $6.04 billion in FY2024 (+11.3%), $5.43 billion in FY2023 (+8.7%), $4.99 billion in FY2022 (+9.3%) and $4.57 billion in FY2021 (+12.0%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Other Operating Expenses has increased for 23 straight quarters, with growth averaging 11.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 5.0% (Q1 2025) to 15.1% (Q3 2025).
- Per Business Quant data, UHS's Other Operating Expenses in the three quarters before Q2 2026 was $1.75 billion (Q1 2026), $1.76 billion (Q4 2025) and $1.75 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 108.21 Bn | 104.31 Bn | - |
| 2 | Natera | 46.23 Bn | 41.85 Bn | 513.47 Mn |
| 3 | Labcorp Holdings | 29.99 Bn | 28.08 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 28.29 Bn | 26.06 Bn | 1.04 Bn |
| 5 | Tenet Healthcare | 23.33 Bn | 12.64 Bn | - |
| 6 | Guardant Health | 21.19 Bn | 16.81 Bn | 236.15 Mn |
| 7 | Tempus AI | 14.89 Bn | 12.04 Bn | 266.70 Mn |
| 8 | BrightSpring Health Services | 14.05 Bn | 11.80 Bn | 518.55 Mn |
| 9 | Encompass Health | 13.67 Bn | 13.30 Bn | - |
| 10 | Universal Health Services | 11.80 Bn | 11.29 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.28 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 998.73 Mn |
| Sep 30, 2023 | 941.22 Mn |
| Jun 30, 2023 | 938.31 Mn |
| Mar 31, 2023 | 878.95 Mn |
| Dec 31, 2022 | 919.67 Mn |
| Sep 30, 2022 | 837.24 Mn |
| Jun 30, 2022 | 867.89 Mn |
| Mar 31, 2022 | 820.93 Mn |
| Dec 31, 2021 | 802.28 Mn |
| Sep 30, 2021 | 754.07 Mn |
Universal Health Services Other Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=UHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "UHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=UHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();