Ryman Hospitality Properties (RHP) Total Liabilities (2009 - 2026)
Ryman Hospitality Properties (RHP) posted Total Liabilities of $6.23 billion for Q3 2026, up 15.3% from $5.4 billion a year earlier and up 15.3% from the prior quarter.
Ryman Hospitality Properties (RHP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ryman Hospitality Properties' Total Liabilities came in at $5.39 billion, up 15.6% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Ryman Hospitality Properties' Total Liabilities was $4.66 billion in FY2024 (+1.1%), $4.62 billion in FY2023 (+17.0%), $3.94 billion in FY2022 (+9.5%) and $3.6 billion in FY2021 (+8.0%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last 22 quarters, with growth averaging 10.6% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 1.1% (Q4 2024) and 17.8% (Q3 2023) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.4 billion (Q2 2026), $5.42 billion (Q1 2026) and $5.39 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 43.55 Bn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 33.94 Bn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 13.78 Bn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 35.35 Bn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 6.23 Bn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 14.77 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 19.56 Bn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 15.20 Bn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn | 18.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.23 Bn |
| Jun 30, 2026 | 5.40 Bn |
| Mar 31, 2026 | 5.42 Bn |
| Dec 31, 2025 | 5.39 Bn |
| Sep 30, 2025 | 5.40 Bn |
| Jun 30, 2025 | 5.27 Bn |
| Mar 31, 2025 | 4.67 Bn |
| Dec 31, 2024 | 4.66 Bn |
| Sep 30, 2024 | 4.65 Bn |
| Jun 30, 2024 | 4.57 Bn |
| Mar 31, 2024 | 4.56 Bn |
| Dec 31, 2023 | 4.62 Bn |
| Sep 30, 2023 | 4.59 Bn |
| Jun 30, 2023 | 4.49 Bn |
| Mar 31, 2023 | 3.93 Bn |
| Dec 31, 2022 | 3.94 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 3.86 Bn |
| Mar 31, 2022 | 3.58 Bn |
| Dec 31, 2021 | 3.60 Bn |
Ryman Hospitality 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=RHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RHP", "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=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();