Public Storage (PSA) Total Debt (2011 - 2026)
Public Storage (PSA) posted Total Debt of $325 million for Q1 2026.
Analysis
Public Storage (PSA) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2016, Public Storage's Total Debt came in at $359.81 million, up 36.3% from FY2015.
- Annual Total Debt shows a five-year compound annual growth rate of 10.8% (FY2011 to FY2016).
- In prior years, Public Storage's Total Debt was $263.94 million in FY2015 (+310.1%), $64.36 million in FY2014 (-91.4%), $750.1 million in FY2013 (+464.0%) and $133 million in FY2012 (-38.4%).
- The Q1 2026 figure stands as the highest quarterly Total Debt since Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 14.30 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 24.60 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 4.16 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 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 | - | 3.09 Bn |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 4.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 325.00 Mn |
| Jun 30, 2017 | 390.69 Mn |
| Mar 31, 2017 | 365.35 Mn |
| Dec 31, 2016 | 359.81 Mn |
| Sep 30, 2016 | 383.44 Mn |
| Jun 30, 2016 | 379.79 Mn |
| Mar 31, 2016 | 274.81 Mn |
| Dec 31, 2015 | 263.94 Mn |
| Jun 30, 2015 | 11.00 Mn |
| Dec 31, 2014 | 64.36 Mn |
| Jun 30, 2014 | 322.00 Mn |
| Mar 31, 2014 | 372.00 Mn |
| Dec 31, 2013 | 750.10 Mn |
| Sep 30, 2013 | 100.12 Mn |
| Jun 30, 2013 | 111.69 Mn |
| Mar 31, 2013 | 142.42 Mn |
| Dec 31, 2012 | 133.00 Mn |
| Sep 30, 2012 | 186.46 Mn |
| Dec 31, 2011 | 215.94 Mn |
API Access
Public Storage Total Debt 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=total-debt&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();