Sotherly Hotels (SOHOB) Other Non-Current Liabilities (2010 - 2023)
Sotherly Hotels' Other Non-Current Liabilities was $4.97 million in FY2012, up 68.9% from $2.94 million in FY2011.
Analysis
Sotherly Hotels (SOHOB) Other Non-Current Liabilities (2010 - 2023) Analysis & Trends
- Per Business Quant data, Other Non-Current Liabilities in earlier years was $2.94 million in FY2011 (+429.4%) and $555,902 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Sotherly Hotels | 68.64 Mn | 39.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -627,676.00 |
| Sep 30, 2023 | -1.31 Mn |
| Jun 30, 2023 | -1.19 Mn |
| Mar 31, 2023 | -886,381.00 |
| Dec 31, 2022 | -1.31 Mn |
| Sep 30, 2022 | -1.36 Mn |
| Jun 30, 2022 | 1,311.00 |
| Mar 31, 2022 | 573,195.00 |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 2.08 Mn |
| Jun 30, 2021 | 2.34 Mn |
| Mar 31, 2021 | 2.65 Mn |
| Dec 31, 2020 | 3.04 Mn |
| Sep 30, 2020 | 3.44 Mn |
| Jun 30, 2020 | 3.86 Mn |
| Mar 31, 2020 | 3.65 Mn |
| Dec 31, 2019 | 2.06 Mn |
| Sep 30, 2019 | 2.44 Mn |
| Jun 30, 2019 | 2.22 Mn |
| Mar 31, 2019 | 1.40 Mn |
API Access
Sotherly Hotels Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SOHOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();