Pebblebrook Hotel Trust (PEB) Long-Term Investments (2011 - 2016)
Pebblebrook Hotel Trust's Long-Term Investments came in at $183.09 million for Q3 2016, down 26.7% from $249.61 million a year earlier and down 25.1% from the prior quarter.
Pebblebrook Hotel Trust (PEB) Long-Term Investments (2011 - 2016) Analysis & Trends
At the end of FY2015, Pebblebrook Hotel Trust's Long-Term Investments was $248.79 million, down 3.9% from FY2014.
- Long-Term Investments has declined in each of the last three years, though with a four-year compound annual growth rate of 9.7% (FY2011 to FY2015).
- Going back by year, Long-Term Investments was $258.83 million in FY2014 (-0.6%), $260.3 million in FY2013 (-8.0%), $283.01 million in FY2012 (+64.8%) and $171.77 million in FY2011.
- The Q3 2016 figure represents the lowest quarterly Long-Term Investments since Q3 2012.
- Year-over-year, Long-Term Investments has declined for nine consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q4 2012 (growth of 64.8%), and the weakest in Q3 2016 (a decline of 26.7%).
- Business Quant data shows PEB's Long-Term Investments at $244.37 million (Q2 2016), $243.28 million (Q1 2016) and $248.79 million (Q4 2015) in the three quarters before Q3 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 5.87 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 364.79 Mn |
| 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 | - | 323.34 Mn |
| 10 | Pebblebrook Hotel Trust | 2.11 Bn | 1.34 Bn | 154.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 183.09 Mn |
| Jun 30, 2016 | 244.37 Mn |
| Mar 31, 2016 | 243.28 Mn |
| Dec 31, 2015 | 248.79 Mn |
| Sep 30, 2015 | 249.61 Mn |
| Jun 30, 2015 | 247.31 Mn |
| Mar 31, 2015 | 247.54 Mn |
| Dec 31, 2014 | 258.83 Mn |
| Sep 30, 2014 | 256.27 Mn |
| Jun 30, 2014 | 258.33 Mn |
| Mar 31, 2014 | 255.58 Mn |
| Dec 31, 2013 | 260.30 Mn |
| Sep 30, 2013 | 256.66 Mn |
| Jun 30, 2013 | 255.71 Mn |
| Mar 31, 2013 | 276.38 Mn |
| Dec 31, 2012 | 283.01 Mn |
| Sep 30, 2012 | 173.11 Mn |
| Jun 30, 2012 | 170.96 Mn |
| Mar 31, 2012 | 168.17 Mn |
| Dec 31, 2011 | 171.77 Mn |
Pebblebrook Hotel Trust Long-Term Investments 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=long-term-investments&ticker=PEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();