Public Storage (PSA) Prepaid Assets (2009 - 2015)
Public Storage (PSA) posted Prepaid Assets of $95.5 million for Q4 2015, down 4.14% on a QoQ basis from $99.6 million in Q3 2015, and down 7.59% year-over-year from $103.3 million in Q4 2014.
Public Storage (PSA) Prepaid Assets (2009 - 2015) Analysis & Trends
Public Storage has reported Prepaid Assets for 7 years, with the latest figure at $95.5 million in Q4 2015.
- On a quarterly basis, Prepaid Assets fell 7.59% year-over-year to $95.5 million in Q4 2015; TTM through Dec 2015 was $95.5 million, a 7.59% decrease from a year earlier, with the FY2015 full-year figure at $95.5 million, down 7.59% from the prior year.
- Prepaid Assets was $95.5 million for Q4 2015 at Public Storage, down from $99.6 million in the prior quarter.
- The five-year high for Prepaid Assets was $124.2 million in Q1 2015, with the low at $86.1 million in Q4 2013.
- Average Prepaid Assets over 5 years is $96.5 million, with a median of $94.2 million recorded in 2011.
- The largest YoY upside for Prepaid Assets was 28.73% in 2015 against a maximum downside of 10.5% in 2015.
- Over 5 years, Prepaid Assets stood at $87.2 million in 2011, then rose by 1.53% to $88.5 million in 2012, then decreased by 2.71% to $86.1 million in 2013, then rose by 19.92% to $103.3 million in 2014, then decreased by 7.59% to $95.5 million in 2015.
- The last three Prepaid Assets figures came in at $95.5 million (Q4 2015), $99.6 million (Q3 2015), and $92.8 million (Q2 2015), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 95.47 Mn |
| Sep 30, 2015 | 99.59 Mn |
| Jun 30, 2015 | 92.76 Mn |
| Mar 31, 2015 | 124.21 Mn |
| Dec 31, 2014 | 103.30 Mn |
| Sep 30, 2014 | 106.01 Mn |
| Jun 30, 2014 | 103.65 Mn |
| Mar 31, 2014 | 96.49 Mn |
| Dec 31, 2013 | 86.14 Mn |
| Sep 30, 2013 | 114.33 Mn |
| Jun 30, 2013 | 88.88 Mn |
| Mar 31, 2013 | 88.13 Mn |
| Dec 31, 2012 | 88.54 Mn |
| Sep 30, 2012 | 95.32 Mn |
| Jun 30, 2012 | 89.67 Mn |
| Mar 31, 2012 | 87.49 Mn |
| Dec 31, 2011 | 87.20 Mn |
| Sep 30, 2011 | 93.14 Mn |
| Jun 30, 2011 | 91.58 Mn |
| Mar 31, 2011 | 97.47 Mn |
Public Storage Prepaid Assets 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=prepaid-assets&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "PSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();