Universal Health Services (UHS) EBITDA (2009 - 2026)
Universal Health Services' EBITDA was $684.01 million in Q2 2026, up 4.9% from $652.27 million a year earlier and up 3.9% from the prior quarter.
Universal Health Services (UHS) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Universal Health Services' EBITDA was $2.7 billion through Jun 30, 2026, up 12.1% year-over-year; for FY2025, it came in at $2.61 billion, up 15.3% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.27 billion in FY2024 (+30.0%), $1.74 billion in FY2023 (+10.0%), $1.59 billion in FY2022 (-16.4%) and $1.9 billion in FY2021 (+1.5%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q2 2009.
- Compared with a year earlier, EBITDA has increased for 14 straight quarters, with growth averaging 16.6% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2024 (growth of 37.7%); the worst was Q2 2022 (a decline of 34.2%).
- Per Business Quant data, UHS's EBITDA in the three quarters before Q2 2026 was $658.29 million (Q1 2026), $680.57 million (Q4 2025) and $676.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.20 Bn | 104.30 Bn | - | 3.94 Bn |
| 2 | Natera | 46.17 Bn | 41.80 Bn | 513.47 Mn | -46.36 Mn |
| 3 | Labcorp Holdings | 29.69 Bn | 27.77 Bn | 1.11 Bn | 585.10 Mn |
| 4 | Quest Diagnostics | 28.14 Bn | 25.91 Bn | 1.04 Bn | 626.00 Mn |
| 5 | Tenet Healthcare | 23.04 Bn | 12.35 Bn | - | 1.97 Bn |
| 6 | Guardant Health | 21.32 Bn | 16.94 Bn | 236.15 Mn | -122.59 Mn |
| 7 | Tempus AI | 14.79 Bn | 11.95 Bn | 266.70 Mn | - |
| 8 | BrightSpring Health Services | 14.35 Bn | 12.11 Bn | 518.55 Mn | 201.41 Mn |
| 9 | Encompass Health | 13.83 Bn | 13.46 Bn | - | 385.70 Mn |
| 10 | Universal Health Services | 11.68 Bn | 11.18 Bn | - | 684.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 684.01 Mn |
| Mar 31, 2026 | 658.29 Mn |
| Dec 31, 2025 | 680.57 Mn |
| Sep 30, 2025 | 676.75 Mn |
| Jun 30, 2025 | 652.27 Mn |
| Mar 31, 2025 | 603.17 Mn |
| Dec 31, 2024 | 619.27 Mn |
| Sep 30, 2024 | 533.73 Mn |
| Jun 30, 2024 | 583.88 Mn |
| Mar 31, 2024 | 529.77 Mn |
| Dec 31, 2023 | 476.68 Mn |
| Sep 30, 2023 | 422.55 Mn |
| Jun 30, 2023 | 423.87 Mn |
| Mar 31, 2023 | 420.32 Mn |
| Dec 31, 2022 | 409.74 Mn |
| Sep 30, 2022 | 421.75 Mn |
| Jun 30, 2022 | 377.28 Mn |
| Mar 31, 2022 | 376.64 Mn |
| Dec 31, 2021 | 447.01 Mn |
| Sep 30, 2021 | 449.27 Mn |
Universal Health Services EBITDA 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=ebitda&ticker=UHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=UHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();