Regional Health Properties (RHEP) Total Liabilities (2010 - 2026)
Regional Health Properties (RHEP) reported Total Liabilities of $69.68 million for Q2 2026, up 6.2% from $65.59 million a year earlier and up 2.1% from the prior quarter.
Regional Health Properties (RHEP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Regional Health Properties posted Total Liabilities of $67.46 million, up 6.4% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $63.38 million in FY2024 (+2.2%), $62 million in FY2023 (-4.4%), $64.86 million in FY2022 (-31.9%) and $95.3 million in FY2021 (-1.7%).
- Five-year quarterly Total Liabilities spans a low of $61.96 million in Q1 2024 and a high of $96.15 million in Q3 2021.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 5.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 18.0%); the low point was Q1 2023 (a decline of 32.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $68.25 million (Q1 2026), $67.46 million (Q4 2025) and $73.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.18 Bn | 99.19 Bn | - | 69.89 Bn |
| 2 | Natera | 57.81 Bn | 53.49 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Labcorp Holdings | 26.94 Bn | 24.69 Bn | 1.11 Bn | 9.93 Bn |
| 4 | Quest Diagnostics | 26.85 Bn | 24.98 Bn | 1.03 Bn | 9.12 Bn |
| 5 | Guardant Health | 22.51 Bn | 18.57 Bn | 219.03 Mn | 2.14 Bn |
| 6 | Tenet Healthcare | 22.37 Bn | 11.37 Bn | - | 24.12 Bn |
| 7 | Fresenius Medical Care AG | 13.20 Bn | 5.15 Bn | 1.52 Bn | 20.29 Bn |
| 8 | BrightSpring Health Services | 12.39 Bn | 10.72 Bn | 492.75 Mn | 3.94 Bn |
| 9 | Encompass Health | 12.26 Bn | 11.92 Bn | - | 4.05 Bn |
| 10 | Regional Health Properties | 4.01 Mn | -2.83 Mn | 18.35 Mn | 69.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.68 Mn |
| Mar 31, 2026 | 68.25 Mn |
| Dec 31, 2025 | 67.46 Mn |
| Sep 30, 2025 | 73.69 Mn |
| Jun 30, 2025 | 65.59 Mn |
| Mar 31, 2025 | 63.44 Mn |
| Dec 31, 2024 | 63.38 Mn |
| Sep 30, 2024 | 62.44 Mn |
| Jun 30, 2024 | 62.74 Mn |
| Mar 31, 2024 | 61.96 Mn |
| Dec 31, 2023 | 62.00 Mn |
| Sep 30, 2023 | 63.62 Mn |
| Jun 30, 2023 | 64.58 Mn |
| Mar 31, 2023 | 64.15 Mn |
| Dec 31, 2022 | 64.86 Mn |
| Sep 30, 2022 | 89.53 Mn |
| Jun 30, 2022 | 93.35 Mn |
| Mar 31, 2022 | 95.02 Mn |
| Dec 31, 2021 | 95.30 Mn |
| Sep 30, 2021 | 96.15 Mn |
Regional Health Properties Total Liabilities 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=total-liabilities&ticker=RHEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RHEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();