Ashford Hospitality Trust (AHT) Change in Accured Expenses (2010 - 2025)
Ashford Hospitality Trust's Change in Accured Expenses came in at -$21.05 million for Q4 2025, compared with -$6.09 million a year earlier.
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Analysis
Ashford Hospitality Trust (AHT) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For FY2025, Ashford Hospitality Trust's Change in Accured Expenses was $3.1 million, down 66.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -53.5% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $9.31 million in FY2024 (+113.7%), $4.36 million in FY2023, -$4.66 million in FY2022 and -$28.93 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Change in Accured Expenses since Q4 2023.
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 19.9%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2023 (growth of 792.0%), and the weakest in Q3 2021 (a decline of 89.9%).
- Business Quant data shows AHT's Change in Accured Expenses at $10.88 million (Q3 2025), $12.48 million (Q2 2025) and $796,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Ashford Hospitality Trust | 14.64 Mn | -285.09 Mn | 96.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -21.05 Mn |
| Sep 30, 2025 | 10.88 Mn |
| Jun 30, 2025 | 12.48 Mn |
| Mar 31, 2025 | 796,000.00 |
| Dec 31, 2024 | -6.09 Mn |
| Sep 30, 2024 | 8.15 Mn |
| Jun 30, 2024 | 3.26 Mn |
| Mar 31, 2024 | 3.99 Mn |
| Dec 31, 2023 | -29.41 Mn |
| Sep 30, 2023 | 17.92 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 12.78 Mn |
| Dec 31, 2022 | -15.06 Mn |
| Sep 30, 2022 | 2.01 Mn |
| Jun 30, 2022 | 5.27 Mn |
| Mar 31, 2022 | 3.13 Mn |
| Dec 31, 2021 | -7.43 Mn |
| Sep 30, 2021 | 6.36 Mn |
| Jun 30, 2021 | -7.50 Mn |
| Mar 31, 2021 | -20.35 Mn |
API Access
Ashford Hospitality Trust Change in Accured 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-accured-expenses&ticker=AHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "AHT", "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-accured-expenses&ticker=AHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();