Ryman Hospitality Properties (RHP) Selling, General & Administrative (2010 - 2026)
Ryman Hospitality Properties (RHP) recorded Selling, General & Administrative of $11.25 million in Q2 2026, down 0.4% from the prior quarter.
Ryman Hospitality Properties (RHP) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Ryman Hospitality Properties' Selling, General & Administrative came in at $43.77 million as of Jun 30, 2026; 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%).
- Quarterly Selling, General & Administrative has ranged from $9.4 million in Q2 2024 to $12.42 million in Q2 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last six quarters, with an average decline of 2.2%.
- 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 $11.29 million (Q1 2026), $11.18 million (Q4 2025) and $10.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Ryman Hospitality Properties | 7.68 Bn | 6.38 Bn | 364.88 Mn | 11.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.25 Mn |
| Mar 31, 2026 | 11.29 Mn |
| Dec 31, 2025 | 11.18 Mn |
| Sep 30, 2025 | 10.06 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 |
| Sep 30, 2021 | 10.42 Mn |
| Jun 30, 2021 | 8.98 Mn |
Ryman Hospitality Properties Selling, General & 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=selling-general-and-administrative&ticker=RHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-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=selling-general-and-administrative&ticker=RHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();