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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 4.04 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | -54.61 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 605.00 Mn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 630.60 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | -119.56 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 1.72 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | - |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 384.80 Mn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 746.81 Mn |
| 10 | Universal Health Services | 9.17 Bn | 8.74 Bn | - | 684.01 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();