DiamondRock Hospitality (DRH) Total Operating Expenses (2009 - 2026)
DiamondRock Hospitality (DRH) posted Operating Expenses of $246.48 million for Q3 2026, up 2.0% from $241.61 million a year earlier and up 0.6% from the prior quarter.
DiamondRock Hospitality (DRH) Total Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at DiamondRock Hospitality was $957.57 million, down 3.8% year-over-year; for FY2025, it was $957.89 million, down 6.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In prior years, DiamondRock Hospitality's Operating Expenses was $1.02 billion in FY2024 (+10.1%), $925.4 million in FY2023 (+10.2%), $839.74 million in FY2022 (+16.1%) and $723.18 million in FY2021 (+8.2%).
- The Q3 2026 figure stands as the highest quarterly Operating Expenses since Q2 2025.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 60.0%; the weakest was Q4 2021, with a decline of 33.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $244.94 million (Q2 2026), $229.54 million (Q1 2026) and $236.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | DiamondRock Hospitality | 2.95 Bn | 2.60 Bn | 100.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 246.48 Mn |
| Jun 30, 2026 | 244.94 Mn |
| Mar 31, 2026 | 229.54 Mn |
| Dec 31, 2025 | 236.61 Mn |
| Sep 30, 2025 | 241.61 Mn |
| Jun 30, 2025 | 249.59 Mn |
| Mar 31, 2025 | 230.09 Mn |
| Dec 31, 2024 | 274.49 Mn |
| Sep 30, 2024 | 242.17 Mn |
| Jun 30, 2024 | 268.27 Mn |
| Mar 31, 2024 | 233.98 Mn |
| Dec 31, 2023 | 237.15 Mn |
| Sep 30, 2023 | 233.77 Mn |
| Jun 30, 2023 | 236.65 Mn |
| Mar 31, 2023 | 217.84 Mn |
| Dec 31, 2022 | 219.16 Mn |
| Sep 30, 2022 | 220.42 Mn |
| Jun 30, 2022 | 217.73 Mn |
| Mar 31, 2022 | 182.42 Mn |
| Dec 31, 2021 | 183.74 Mn |
DiamondRock Hospitality 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=DRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "ticker": "DRH", "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=DRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();