Public Storage (PSA) Interest Expenses (2009 - 2026)
Public Storage (PSA) reported Interest Expenses of $84.78 million for Q2 2026, up 18.4% from $71.61 million a year earlier and up 6.0% from the prior quarter.
Public Storage (PSA) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Public Storage's Interest Expenses came in at $325.68 million, up 12.3% year-over-year; for FY2025, it came in at $304.5 million, up 5.9% from FY2024.
- Interest Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 40.2% (FY2020 to FY2025).
- By year, Interest Expenses came in at $287.4 million in FY2024 (+42.9%), $201.13 million in FY2023 (+47.5%), $136.32 million in FY2022 (+50.2%) and $90.77 million in FY2021 (+61.3%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q1 2009.
- Year over year, Interest Expenses has now increased in each of the last four quarters, with growth averaging 10.7% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2022 (growth of 117.2%); the low point was Q2 2025 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $80.02 million (Q1 2026), $81.19 million (Q4 2025) and $79.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.76 Bn | 146.25 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.87 Bn | 116.91 Bn | - | 276.31 Mn |
| 3 | Simon Property | 64.46 Bn | 60.31 Bn | - | 275.66 Mn |
| 4 | Realty Income | 51.43 Bn | 49.65 Bn | - | 312.08 Mn |
| 5 | Public Storage | 50.74 Bn | 49.73 Bn | - | 84.78 Mn |
| 6 | Ventas | 41.30 Bn | 39.99 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 28.19 Bn | 28.19 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.97 Bn | 23.08 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.73 Bn | 22.51 Bn | - | 82.46 Mn |
| 10 | Essex Property Trust | 17.29 Bn | 17.05 Bn | - | 66.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.78 Mn |
| Mar 31, 2026 | 80.02 Mn |
| Dec 31, 2025 | 81.19 Mn |
| Sep 30, 2025 | 79.69 Mn |
| Jun 30, 2025 | 71.61 Mn |
| Mar 31, 2025 | 72.01 Mn |
| Dec 31, 2024 | 72.14 Mn |
| Sep 30, 2024 | 74.25 Mn |
| Jun 30, 2024 | 73.24 Mn |
| Mar 31, 2024 | 67.78 Mn |
| Dec 31, 2023 | 68.60 Mn |
| Sep 30, 2023 | 58.35 Mn |
| Jun 30, 2023 | 38.08 Mn |
| Mar 31, 2023 | 36.10 Mn |
| Dec 31, 2022 | 36.14 Mn |
| Sep 30, 2022 | 34.11 Mn |
| Jun 30, 2022 | 32.94 Mn |
| Mar 31, 2022 | 33.12 Mn |
| Dec 31, 2021 | 29.79 Mn |
| Sep 30, 2021 | 23.74 Mn |
Public Storage Interest Expenses 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=interest-expenses&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();