Ryman Hospitality Properties, Inc. (RHP) Operating Expenses (2010 - 2026)
Ryman Hospitality Properties (RHP) reported Operating Expenses of $574.43 million for Q2 2026, up 9.0% from the prior quarter.
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Analysis
Ryman Hospitality Properties, Inc. (RHP) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ryman Hospitality Properties' Operating Expenses came in at $2.2 billion; 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 $281.21 million in Q3 2021 and a high of $594.95 million in Q4 2025.
- 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 Q2 2026 came in at $526.78 million (Q1 2026), $594.95 million (Q4 2025) and $503.85 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 574.43 Mn |
| Mar 31, 2026 | 526.78 Mn |
| Dec 31, 2025 | 594.95 Mn |
| Sep 30, 2025 | 503.85 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 |
| Sep 30, 2021 | 281.21 Mn |
| Jun 30, 2021 | 201.81 Mn |
API Access
Ryman Hospitality Properties, Inc. 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=operating-expenses&ticker=RHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();