Ryman Hospitality Properties (RHP) Total Operating Expenses (2009 - 2026)
Ryman Hospitality Properties (RHP) reported Operating Expenses of $561.47 million for Q3 2026, up 11.4% from $503.85 million a year earlier but down 2.3% from the prior quarter.
Ryman Hospitality Properties (RHP) Total Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ryman Hospitality Properties' Operating Expenses came in at $2.26 billion, up 11.6% year-over-year; for FY2025, it was $2.09 billion, up 13.1% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.85 billion in FY2024 (+8.4%), $1.7 billion in FY2023 (+15.3%), $1.48 billion in FY2022 (+48.2%) and $998.05 million in FY2021 (+20.5%).
- Five-year quarterly Operating Expenses spans a low of $291.26 million in Q1 2022 and a high of $594.95 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 22 quarters, with growth averaging 11.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 3.5% in Q4 2024 to 83.7% in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at $574.43 million (Q2 2026), $526.78 million (Q1 2026) and $594.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 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 |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 561.47 Mn |
| Jun 30, 2026 | 574.43 Mn |
| Mar 31, 2026 | 526.78 Mn |
| Dec 31, 2025 | 594.95 Mn |
| Sep 30, 2025 | 503.85 Mn |
| Jun 30, 2025 | 520.09 Mn |
| Mar 31, 2025 | 471.16 Mn |
| Dec 31, 2024 | 527.13 Mn |
| Sep 30, 2024 | 444.08 Mn |
| Jun 30, 2024 | 445.22 Mn |
| Mar 31, 2024 | 431.96 Mn |
| Dec 31, 2023 | 509.19 Mn |
| Sep 30, 2023 | 426.59 Mn |
| Jun 30, 2023 | 382.60 Mn |
| Mar 31, 2023 | 386.07 Mn |
| Dec 31, 2022 | 452.57 Mn |
| Sep 30, 2022 | 370.75 Mn |
| Jun 30, 2022 | 364.24 Mn |
| Mar 31, 2022 | 291.26 Mn |
| Dec 31, 2021 | 351.30 Mn |
Ryman Hospitality Properties Total 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=total-operating-expenses&ticker=RHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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-operating-expenses&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();