Public Storage (PSA) Acquisitions, Development and Improvements of Real Estate (2009 - 2026)
Public Storage's Capital Expenditures came in at -$136.32 million for Q3 2026, compared with -$157.84 million a year earlier.
Public Storage (PSA) Acquisitions, Development and Improvements of Real Estate (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Public Storage reported Capital Expenditures of $1.42 billion, up 96.0% year-over-year; for FY2025, it came in at $1.47 billion, up 76.8% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $833.98 million in FY2024 (-22.4%), $1.07 billion in FY2023 (-16.7%), $1.29 billion in FY2022 (-76.4%) and $5.47 billion in FY2021 (+468.0%).
- The five-year range for quarterly Capital Expenditures is -$157.84 million (Q3 2025) to $2.45 billion (Q4 2021).
- Year-over-year, Capital Expenditures increased in four of the last six quarters, with growth averaging 52.0%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 348.3%), and the weakest in Q2 2022 (a decline of 94.7%).
- Business Quant data shows PSA's Capital Expenditures at $320.97 million (Q2 2026), $122.52 million (Q1 2026) and $1.11 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -136.32 Mn |
| Jun 30, 2026 | 320.97 Mn |
| Mar 31, 2026 | 122.52 Mn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | -157.84 Mn |
| Jun 30, 2025 | 274.19 Mn |
| Mar 31, 2025 | 243.44 Mn |
| Dec 31, 2024 | 365.65 Mn |
| Sep 30, 2024 | 163.96 Mn |
| Jun 30, 2024 | 153.47 Mn |
| Mar 31, 2024 | 150.90 Mn |
| Dec 31, 2023 | 365.93 Mn |
| Sep 30, 2023 | 251.00 Mn |
| Jun 30, 2023 | 284.31 Mn |
| Mar 31, 2023 | 172.96 Mn |
| Dec 31, 2022 | 365.63 Mn |
| Sep 30, 2022 | 588.29 Mn |
| Jun 30, 2022 | 124.43 Mn |
| Mar 31, 2022 | 211.83 Mn |
| Dec 31, 2021 | 2.45 Bn |
Public Storage Acquisitions, Development and Improvements of Real Estate 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=acquisitions-development-and-improvements-of-real-estate&ticker=PSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions-development-and-improvements-of-real-estate", "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=acquisitions-development-and-improvements-of-real-estate&ticker=PSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();