Ryman Hospitality Properties (RHP) Long-Term Debt Issuances (2009 - 2026)
Ryman Hospitality Properties (RHP) reported Long-Term Debt Issuances of $700 million for Q3 2026.
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Analysis
Ryman Hospitality Properties (RHP) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ryman Hospitality Properties' Long-Term Debt Issuances came in at $1.4 billion; for FY2025, it came in at $625 million, down 37.5% from FY2024.
- Long-Term Debt Issuances has a four-year compound annual growth rate of 1.0% (FY2021 to FY2025).
- By year, Long-Term Debt Issuances came in at $1 billion in FY2024 (+150.0%), $400 million in FY2023 (+38.9%), $288 million in FY2022 (-52.0%) and $600 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 838.50 Mn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 16.19 Mn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 4.66 Bn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 1.17 Bn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 61.77 Bn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 700.00 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 131.50 Mn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 5.87 Bn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn | 1.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 700.00 Mn |
| Mar 31, 2026 | 700.00 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Mar 31, 2021 | 600.00 Mn |
| Dec 31, 2019 | 202.50 Mn |
| Sep 30, 2019 | 462.35 Mn |
| Jun 30, 2019 | 8.76 Mn |
| Mar 31, 2019 | 28.90 Mn |
| Dec 31, 2009 | -12,000.00 |
API Access
Ryman Hospitality Properties Long-Term Debt Issuances 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-issuances&ticker=RHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();