Pebblebrook Hotel Trust (PEB) Payout Ratio (2011 - 2020)
Pebblebrook Hotel Trust's Payout Ratio came in at 1.67 for Q1 2020, down 25.0% from the prior quarter.
Analysis
Pebblebrook Hotel Trust (PEB) Payout Ratio (2011 - 2020) Analysis & Trends
For FY2019, Pebblebrook Hotel Trust's Payout Ratio was 2.23.
- Going back by year, Payout Ratio was 1.28 in FY2017 (-42.9%), 2.24 in FY2016 (+83.4%) and 1.22 in FY2015 (+4.9%).
- The Q1 2020 figure represents the lowest quarterly Payout Ratio since Q3 2018.
- The fastest year-over-year change in Payout Ratio over five years came in Q2 2017 (growth of 620.9%), and the weakest in Q2 2018 (a decline of 82.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Pebblebrook Hotel Trust | 2.11 Bn | 1.34 Bn | 154.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 1.67 |
| Dec 31, 2019 | 2.23 |
| Sep 30, 2018 | 0.98 |
| Jun 30, 2018 | 0.97 |
| Mar 31, 2018 | 1.13 |
| Dec 31, 2017 | 1.28 |
| Sep 30, 2017 | 1.20 |
| Jun 30, 2017 | 5.50 |
| Mar 31, 2017 | 2.19 |
| Dec 31, 2016 | 2.24 |
| Sep 30, 2016 | 2.04 |
| Jun 30, 2016 | 0.76 |
| Mar 31, 2016 | 1.21 |
| Dec 31, 2015 | 1.22 |
| Sep 30, 2015 | 1.25 |
| Jun 30, 2015 | 1.30 |
| Mar 31, 2015 | 1.24 |
| Dec 31, 2014 | 1.17 |
| Sep 30, 2014 | 1.16 |
| Jun 30, 2014 | 1.46 |
API Access
Pebblebrook Hotel Trust 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=payout-ratio&ticker=PEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "ticker": "PEB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=payout-ratio&ticker=PEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();