DiamondRock Hospitality (DRH) Operating Expenses (2009 - 2026)
DiamondRock Hospitality (DRH) posted Operating Expenses of $244.94 million for Q2 2026, down 1.9% from $249.59 million a year earlier but up 6.7% from the prior quarter.
DiamondRock Hospitality (DRH) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at DiamondRock Hospitality was $952.7 million, down 4.4% 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%).
- Quarterly Operating Expenses has run from a low of $168.81 million in Q3 2021 to a high of $274.49 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 0.7% over the last eight quarters.
- 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 $229.54 million (Q1 2026), $236.61 million (Q4 2025) and $241.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | DiamondRock Hospitality | 2.55 Bn | 2.20 Bn | 123.23 Mn | 244.94 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 168.81 Mn |
DiamondRock Hospitality 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=DRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();