Pacs (PACS) Operating Expenses (2023 - 2026)
Pacs (PACS) recorded Operating Expenses of $1.32 billion in Q2 2026, up 7.3% from $1.23 billion a year earlier and up 1.4% from the prior quarter.
Pacs (PACS) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Pacs' Operating Expenses came in at $5.14 billion as of Jun 30, 2026, up 11.8% year-over-year; for FY2025, it came in at $4.98 billion, up 25.5% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 31.4% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $3.97 billion in FY2024 (+36.6%), $2.9 billion in FY2023 (+32.4%) and $2.19 billion in FY2022.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2023.
- On a year-over-year basis, Operating Expenses has increased for ten consecutive quarters, with growth averaging 24.6% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 5.8% (Q1 2026) and 43.8% (Q1 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.3 billion (Q1 2026), $1.26 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 17.74 Bn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | - |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | 1.31 Bn |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 362.36 Mn |
| 10 | Pacs | 6.58 Bn | 5.62 Bn | 338.46 Mn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.30 Bn |
| Dec 31, 2025 | 1.26 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 972.88 Mn |
| Mar 31, 2024 | 854.53 Mn |
| Dec 31, 2023 | 790.66 Mn |
| Sep 30, 2023 | 752.78 Mn |
| Jun 30, 2023 | 711.13 Mn |
| Mar 31, 2023 | 649.15 Mn |
Pacs 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=operating-expenses&ticker=PACS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PACS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PACS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();