Public Storage (PSA) Short-Term Debt repayments (2009 - 2014)
Public Storage (PSA) reported Short-Term Debt repayments of $322 million for Q3 2014.
Powered by 
Analysis
Public Storage (PSA) Short-Term Debt repayments (2009 - 2014) Analysis & Trends
Over the twelve months ended Sep 30, 2014, Public Storage's Short-Term Debt repayments came in at $175.67 million; for FY2010, it came in at -$77.09 million.
- By year, Short-Term Debt repayments came in at -$7.5 million in FY2009.
- The Q3 2014 figure ranks as the highest quarterly Short-Term Debt repayments in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.70 Bn | 166.77 Bn | 1.47 Bn | 21.44 Bn |
| 2 | Prologis | 122.17 Bn | 120.56 Bn | - | - |
| 3 | Simon Property | 80.16 Bn | 78.26 Bn | - | - |
| 4 | Public Storage | 62.28 Bn | 61.73 Bn | 112.08 Mn | - |
| 5 | Realty Income | 56.35 Bn | 57.74 Bn | - | - |
| 6 | Ventas | 47.42 Bn | 46.59 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 47.10 Bn | 45.93 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.16 Bn | 36.91 Bn | - | - |
| 9 | Extra Space Storage | 33.05 Bn | 32.83 Bn | 650.96 Mn | - |
| 10 | Vici Properties | 27.32 Bn | 26.10 Bn | 1.06 Bn | 140.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -750.10 Mn |
| Sep 30, 2014 | 322.00 Mn |
| Jun 30, 2014 | 428.10 Mn |
| Mar 31, 2014 | -50.10 Mn |
| Dec 31, 2013 | 50.10 Mn |
| Mar 31, 2013 | -133.00 Mn |
| Jun 30, 2011 | -21.28 Mn |
| Mar 31, 2011 | -105.54 Mn |
| Dec 31, 2010 | -19.52 Mn |
| Sep 30, 2010 | -2.39 Mn |
| Jun 30, 2010 | -53.22 Mn |
| Mar 31, 2010 | -1.97 Mn |
| Dec 31, 2009 | -1.90 Mn |
| Sep 30, 2009 | -1.86 Mn |
| Jun 30, 2009 | -1.86 Mn |
| Mar 31, 2009 | -1.89 Mn |
API Access
Public Storage Short-Term Debt repayments 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=short-term-debt-repayments&ticker=PSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();