Sotherly Hotels (SOHOB) Change in Accured Expenses (2010 - 2025)
Sotherly Hotels' Change in Accured Expenses came in at -$1.22 million for FY2025, compared with $2.51 million in FY2024.
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Analysis
Sotherly Hotels (SOHOB) Change in Accured Expenses (2010 - 2025) Analysis & Trends
Going back to FY2009, Sotherly Hotels' Change in Accured Expenses data covers 7 years.
- Per Business Quant, earlier years put Change in Accured Expenses at $2.51 million in FY2024 and -$3.58 million in FY2023.
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 | Sotherly Hotels | 68.64 Mn | 39.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1.21 Mn |
| Jun 30, 2025 | -3.98 Mn |
| Mar 31, 2025 | 1.21 Mn |
| Dec 31, 2024 | 2.87 Mn |
| Sep 30, 2024 | -1.45 Mn |
| Jun 30, 2024 | -789,186.00 |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | -3.82 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | -1.78 Mn |
| Mar 31, 2023 | 761,332.00 |
| Dec 31, 2022 | -107,712.00 |
| Sep 30, 2022 | -3.08 Mn |
| Jun 30, 2022 | -12.78 Mn |
| Mar 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | -2.14 Mn |
| Sep 30, 2021 | -124,705.00 |
| Jun 30, 2021 | -199,805.00 |
| Mar 31, 2021 | 4.09 Mn |
| Dec 31, 2020 | 827,439.00 |
API Access
Sotherly Hotels 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=SOHOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SOHOB", "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=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();