Public Storage (PSA) Capital Expenditures (2009 - 2026)
Public Storage's Capital Expenditures came in at $56.02 million for Q2 2026, down 26.9% from $76.67 million a year earlier and down 2.9% from the prior quarter.
Public Storage (PSA) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Public Storage reported Capital Expenditures of $281.32 million, down 7.8% year-over-year; for FY2025, it came in at $310.74 million, down 4.9% from FY2024.
- Capital Expenditures carries a four-year compound annual growth rate of 2.5% (FY2021 to FY2025).
- Going back by year, Capital Expenditures was $326.85 million in FY2024 (-10.3%), $364.45 million in FY2023 (+16.2%), $313.51 million in FY2022 (+11.2%) and $281.98 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Capital Expenditures since Q3 2016.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with an average decline of 12.1% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2023 (growth of 40.8%), and the weakest in Q4 2024 (a decline of 31.0%).
- Business Quant data shows PSA's Capital Expenditures at $57.71 million (Q1 2026), $72.74 million (Q4 2025) and $94.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 62.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.02 Mn |
| Mar 31, 2026 | 57.71 Mn |
| Dec 31, 2025 | 72.74 Mn |
| Sep 30, 2025 | 94.85 Mn |
| Jun 30, 2025 | 76.67 Mn |
| Mar 31, 2025 | 66.48 Mn |
| Dec 31, 2024 | 79.69 Mn |
| Sep 30, 2024 | 82.23 Mn |
| Jun 30, 2024 | 80.41 Mn |
| Mar 31, 2024 | 84.53 Mn |
| Dec 31, 2023 | 115.47 Mn |
| Sep 30, 2023 | 87.54 Mn |
| Jun 30, 2023 | 92.56 Mn |
| Mar 31, 2023 | 68.87 Mn |
| Dec 31, 2022 | 82.03 Mn |
| Mar 31, 2020 | 57.50 Mn |
| Dec 31, 2019 | 60.00 Mn |
| Sep 30, 2019 | 78.30 Mn |
| Jun 30, 2019 | 69.40 Mn |
| Mar 31, 2019 | 77.00 Mn |
Public Storage Capital Expenditures 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=capital-expenditures&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();