Xenia Hotels & Resorts (XHR) Change in Accrued Expenses (2014 - 2026)
Analysis
Xenia Hotels & Resorts (XHR) Change in Accrued Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn | - |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - | 187.04 Mn |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - | -301.36 Mn |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - | 144.79 Mn |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - | 130.70 Mn |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - | -25.21 Mn |
| 10 | Xenia Hotels & Resorts | 1.80 Bn | 1.31 Bn | 97.24 Mn | -14.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.58 Mn |
| Mar 31, 2026 | 16.70 Mn |
| Dec 31, 2025 | -24.79 Mn |
| Sep 30, 2025 | 22.32 Mn |
| Jun 30, 2025 | -17.45 Mn |
| Mar 31, 2025 | 15.78 Mn |
| Dec 31, 2024 | -13.51 Mn |
| Sep 30, 2024 | 9.32 Mn |
| Jun 30, 2024 | -541,000.00 |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | -5.88 Mn |
| Sep 30, 2023 | 6.04 Mn |
| Jun 30, 2023 | 2.99 Mn |
| Mar 31, 2023 | -9.51 Mn |
| Dec 31, 2022 | -2.80 Mn |
| Sep 30, 2022 | 9.72 Mn |
| Jun 30, 2022 | 7.33 Mn |
| Mar 31, 2022 | 8.23 Mn |
| Dec 31, 2021 | -4.68 Mn |
| Sep 30, 2021 | 6.51 Mn |
API Access
Xenia Hotels & Resorts Change in Accrued 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=change-in-accrued-expenses&ticker=XHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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=change-in-accrued-expenses&ticker=XHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();