Sotherly Hotels (SOHOB) Dividend Coverage Ratio (2012 - 2019)
Sotherly Hotels' (SOHOB) Dividend Coverage Ratio came in at 3.72 for Q2 2023.
Analysis
Sotherly Hotels (SOHOB) Dividend Coverage Ratio (2012 - 2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2013, Dividend Coverage Ratio at Sotherly Hotels was -0.70; for FY2012, it came in at -3.52.
- In prior years, Sotherly Hotels' Dividend Coverage Ratio was -18.72 in FY2011 and -14.07 in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 0.45 |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 0.78 |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 0.28 |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 0.77 |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.08 |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Sotherly Hotels | 68.64 Mn | 39.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -0.49 |
| Mar 31, 2019 | -0.86 |
| Dec 31, 2018 | -3.76 |
| Sep 30, 2018 | -1.56 |
| Jun 30, 2018 | 0.77 |
| Mar 31, 2018 | -0.15 |
| Dec 31, 2017 | -3.34 |
| Sep 30, 2017 | -0.95 |
| Jun 30, 2017 | 0.19 |
| Mar 31, 2017 | 1.18 |
| Dec 31, 2016 | -0.47 |
| Sep 30, 2016 | -1.14 |
| Jun 30, 2016 | 1.24 |
| Mar 31, 2016 | 0.36 |
| Dec 31, 2015 | -0.39 |
| Sep 30, 2015 | 3.89 |
| Jun 30, 2015 | 1.55 |
| Mar 31, 2015 | 0.67 |
| Dec 31, 2014 | -4.94 |
| Sep 30, 2014 | -0.43 |
API Access
Sotherly Hotels Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=SOHOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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=dividend-coverage-ratio&ticker=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();