Ryman Hospitality Properties (RHP) General and Administrative (2009 - 2026)
Ryman Hospitality Properties (RHP) recorded Selling, General & Administrative of $12.37 million in Q3 2026, up 22.9% from $10.06 million a year earlier and up 10.0% from the prior quarter.
Ryman Hospitality Properties (RHP) General and Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Ryman Hospitality Properties' Selling, General & Administrative came in at $46.08 million as of Sep 30, 2026, up 8.9% year-over-year; for FY2025, it came in at $42.77 million, up 2.3% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $41.82 million in FY2024 (-2.3%), $42.79 million in FY2023 (-0.4%), $42.98 million in FY2022 (+11.4%) and $38.6 million in FY2021 (+34.0%).
- The Q3 2026 figure is the highest quarterly Selling, General & Administrative since Q2 2022.
- On a year-over-year basis, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 91.3% in Q4 2021, against a decline of 20.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.25 million (Q2 2026), $11.29 million (Q1 2026) and $11.18 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 | 12.37 Mn |
| Jun 30, 2026 | 11.25 Mn |
| Mar 31, 2026 | 11.29 Mn |
| Dec 31, 2025 | 11.18 Mn |
| Sep 30, 2025 | 10.06 Mn |
| Jun 30, 2025 | 10.76 Mn |
| Mar 31, 2025 | 10.77 Mn |
| Dec 31, 2024 | 10.74 Mn |
| Sep 30, 2024 | 9.72 Mn |
| Jun 30, 2024 | 9.40 Mn |
| Mar 31, 2024 | 11.95 Mn |
| Dec 31, 2023 | 12.21 Mn |
| Sep 30, 2023 | 10.10 Mn |
| Jun 30, 2023 | 9.89 Mn |
| Mar 31, 2023 | 10.59 Mn |
| Dec 31, 2022 | 11.56 Mn |
| Sep 30, 2022 | 9.45 Mn |
| Jun 30, 2022 | 12.42 Mn |
| Mar 31, 2022 | 9.56 Mn |
| Dec 31, 2021 | 11.68 Mn |
Ryman Hospitality Properties General and Administrative 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=general-and-administrative&ticker=RHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();