Sotherly Hotels (SOHOB) FCF Payout Ratio (2012 - 2019)
Sotherly Hotels' (SOHOB) FCF Payout Ratio stood at 0.16 in Q2 2023, down 59.3% from the prior quarter.
Analysis
Sotherly Hotels (SOHOB) FCF Payout Ratio (2012 - 2019) Analysis & Trends
On a TTM basis, Sotherly Hotels' FCF Payout Ratio came in at 0.21 as of Jun 30, 2013; for FY2012, it was 0.19, up 16.0% from FY2011.
- Across earlier years, FCF Payout Ratio came in at 0.16 in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (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 | - | 0.70 |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 0.71 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 0.56 |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 0.62 |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 0.69 |
| 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 |
|---|---|
| Jun 30, 2019 | 0.27 |
| Mar 31, 2019 | 19.73 |
| Dec 31, 2018 | 1.70 |
| Jun 30, 2018 | 0.42 |
| Mar 31, 2018 | 1.10 |
| Jun 30, 2016 | 0.47 |
| Mar 31, 2016 | 0.80 |
| Sep 30, 2014 | 0.38 |
| Jun 30, 2014 | 0.08 |
| Mar 31, 2014 | 0.26 |
| Dec 31, 2013 | 0.55 |
| Jun 30, 2013 | 0.16 |
| Jun 30, 2013 | 0.16 |
| Mar 31, 2013 | 0.40 |
| Mar 31, 2013 | 0.40 |
| Dec 31, 2012 | 1.16 |
| Dec 31, 2012 | 1.16 |
| Sep 30, 2012 | 0.09 |
| Jun 30, 2012 | 0.19 |
| Mar 31, 2012 | 0.18 |
API Access
Sotherly Hotels FCF Payout 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=fcf-payout-ratio&ticker=SOHOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-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=fcf-payout-ratio&ticker=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();