Xenia Hotels & Resorts (XHR) Operating Expenses (2014 - 2026)
Xenia Hotels & Resorts' Operating Expenses was $295.46 million in Q2 2026, up 19.4% from $247.36 million a year earlier and up 16.4% from the prior quarter.
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Analysis
Xenia Hotels & Resorts (XHR) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xenia Hotels & Resorts' Operating Expenses was $1.02 billion through Jun 30, 2026, up 5.1% year-over-year; for FY2025, it came in at $970.97 million, up 2.0% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $952.21 million in FY2024 (+2.6%), $927.83 million in FY2023 (+4.7%), $886.22 million in FY2022 (+30.9%) and $677.07 million in FY2021 (+10.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2014.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 4.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 67.4%); the worst was Q4 2023 (a decline of 1.6%).
- Per Business Quant data, XHR's Operating Expenses in the three quarters before Q2 2026 was $253.79 million (Q1 2026), $238.84 million (Q4 2025) and $231.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Xenia Hotels & Resorts | 1.67 Bn | 1.18 Bn | 97.24 Mn | 295.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 295.46 Mn |
| Mar 31, 2026 | 253.79 Mn |
| Dec 31, 2025 | 238.84 Mn |
| Sep 30, 2025 | 231.70 Mn |
| Jun 30, 2025 | 247.36 Mn |
| Mar 31, 2025 | 253.06 Mn |
| Dec 31, 2024 | 240.46 Mn |
| Sep 30, 2024 | 229.26 Mn |
| Jun 30, 2024 | 242.64 Mn |
| Mar 31, 2024 | 239.86 Mn |
| Dec 31, 2023 | 232.52 Mn |
| Sep 30, 2023 | 224.04 Mn |
| Jun 30, 2023 | 236.07 Mn |
| Mar 31, 2023 | 235.21 Mn |
| Dec 31, 2022 | 236.29 Mn |
| Sep 30, 2022 | 224.59 Mn |
| Jun 30, 2022 | 232.73 Mn |
| Mar 31, 2022 | 192.61 Mn |
| Dec 31, 2021 | 205.06 Mn |
| Sep 30, 2021 | 174.29 Mn |
API Access
Xenia Hotels & Resorts 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=XHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XHR", "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=XHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();