Regional Health Properties (RHEP) Operating Expenses (2010 - 2026)
Regional Health Properties' Operating Expenses was $24.66 million in Q2 2026, up 133.4% from $10.57 million a year earlier and up 12.8% from the prior quarter.
Regional Health Properties (RHEP) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regional Health Properties' Operating Expenses was $82.65 million through Jun 30, 2026, up 198.2% year-over-year; for FY2025, it was $54.2 million, up 198.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $18.17 million in FY2024 (+1.1%), $17.99 million in FY2023 (-57.9%), $42.75 million in FY2022 (+77.0%) and $24.16 million in FY2021 (+58.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2014.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 139.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 298.5%); the worst was Q4 2023 (a decline of 66.8%).
- Per Business Quant data, RHEP's Operating Expenses in the three quarters before Q2 2026 was $21.86 million (Q1 2026), $20.4 million (Q4 2025) and $15.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.18 Bn | 99.19 Bn | - | 17.74 Bn |
| 2 | Natera | 57.81 Bn | 53.49 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Labcorp Holdings | 26.94 Bn | 24.69 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Quest Diagnostics | 26.85 Bn | 24.98 Bn | 1.03 Bn | 2.58 Bn |
| 5 | Guardant Health | 22.51 Bn | 18.57 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 22.37 Bn | 11.37 Bn | - | - |
| 7 | Fresenius Medical Care AG | 13.20 Bn | 5.15 Bn | 1.52 Bn | 901.58 Mn |
| 8 | BrightSpring Health Services | 12.39 Bn | 10.72 Bn | 492.75 Mn | 362.36 Mn |
| 9 | Encompass Health | 12.26 Bn | 11.92 Bn | - | 1.31 Bn |
| 10 | Regional Health Properties | 4.01 Mn | -2.83 Mn | 18.35 Mn | 24.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.66 Mn |
| Mar 31, 2026 | 21.86 Mn |
| Dec 31, 2025 | 20.40 Mn |
| Sep 30, 2025 | 15.73 Mn |
| Jun 30, 2025 | 10.57 Mn |
| Mar 31, 2025 | 7.51 Mn |
| Dec 31, 2024 | 5.12 Mn |
| Sep 30, 2024 | 4.53 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 4.42 Mn |
| Dec 31, 2023 | 4.36 Mn |
| Sep 30, 2023 | 4.54 Mn |
| Jun 30, 2023 | 4.41 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 13.12 Mn |
| Sep 30, 2022 | 13.00 Mn |
| Jun 30, 2022 | 8.62 Mn |
| Mar 31, 2022 | 7.99 Mn |
| Dec 31, 2021 | 6.10 Mn |
| Sep 30, 2021 | 6.10 Mn |
Regional Health Properties 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=RHEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RHEP", "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=RHEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();