Ryman Hospitality Properties (RHP) Long-Term Debt Repayments (2009 - 2026)
Ryman Hospitality Properties (RHP) posted Long-Term Debt Repayments of $700 million for Q1 2026, compared with $1.48 million a year earlier.
Ryman Hospitality Properties (RHP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2025, Ryman Hospitality Properties' Long-Term Debt Repayments came in at $6.92 million, down 99.5% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In prior years, Ryman Hospitality Properties' Long-Term Debt Repayments was $1.32 billion in FY2024 (+245.6%), $381.75 million in FY2023 (+24.9%), $305.75 million in FY2022 (-23.6%) and $400 million in FY2021.
- The Q1 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2024.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last seven quarters, with an average decline of 19.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2025, with growth of 145.5%; the weakest was Q1 2025, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.81 million (Q4 2025), $1.81 million (Q3 2025) and $1.81 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 382.44 Mn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 4.87 Bn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 183.83 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 61.00 Bn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | - |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 133.33 Mn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 565.55 Mn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 6.12 Bn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn | 1.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 700.00 Mn |
| Dec 31, 2025 | 1.81 Mn |
| Sep 30, 2025 | 1.81 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 737,000.00 |
| Jun 30, 2024 | 315.10 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 375.75 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 301.25 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Mar 31, 2021 | 400.00 Mn |
| Dec 31, 2020 | 1.25 Mn |
| Sep 30, 2020 | 1.25 Mn |
Ryman Hospitality Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();