Public Storage (PSA) Operating Expenses (2009 - 2026)
Public Storage's Operating Expenses was $766.2 million in Q2 2026, up 9.3% from $701.1 million a year earlier and up 3.1% from the prior quarter.
Public Storage (PSA) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Public Storage's Operating Expenses was $2.98 billion through Jun 30, 2026, up 5.4% year-over-year; for FY2025, it came in at $2.89 billion, up 3.4% from FY2024.
- Operating Expenses has now increased for 13 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.8 billion in FY2024 (+15.3%), $2.43 billion in FY2023 (+11.4%), $2.18 billion in FY2022 (+20.1%) and $1.81 billion in FY2021 (+16.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses has increased for 41 straight quarters, with growth averaging 5.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 2.0% (Q2 2025) to 31.5% (Q1 2022).
- Per Business Quant data, PSA's Operating Expenses in the three quarters before Q2 2026 was $743.46 million (Q1 2026), $739.74 million (Q4 2025) and $732.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | 1.47 Bn |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 994.93 Mn |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | 766.20 Mn |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 566.18 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 381.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 766.20 Mn |
| Mar 31, 2026 | 743.46 Mn |
| Dec 31, 2025 | 739.74 Mn |
| Sep 30, 2025 | 732.53 Mn |
| Jun 30, 2025 | 701.10 Mn |
| Mar 31, 2025 | 719.18 Mn |
| Dec 31, 2024 | 702.70 Mn |
| Sep 30, 2024 | 705.03 Mn |
| Jun 30, 2024 | 687.11 Mn |
| Mar 31, 2024 | 702.52 Mn |
| Dec 31, 2023 | 682.90 Mn |
| Sep 30, 2023 | 611.83 Mn |
| Jun 30, 2023 | 563.01 Mn |
| Mar 31, 2023 | 568.48 Mn |
| Dec 31, 2022 | 541.35 Mn |
| Sep 30, 2022 | 561.43 Mn |
| Jun 30, 2022 | 535.68 Mn |
| Mar 31, 2022 | 539.33 Mn |
| Dec 31, 2021 | 481.83 Mn |
| Sep 30, 2021 | 480.70 Mn |
Public Storage Operating 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=operating-expenses&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();