Extra Space Storage (EXR) Operating Expenses (2009 - 2026)
Extra Space Storage (EXR) recorded Operating Expenses of $481.97 million in Q2 2026, up 3.3% from $466.78 million a year earlier but down 1.3% from the prior quarter.
Extra Space Storage (EXR) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Extra Space Storage's Operating Expenses came in at $1.93 billion as of Jun 30, 2026, up 2.7% year-over-year; for FY2025, it came in at $1.89 billion, up 1.8% from FY2024.
- Annual Operating Expenses has increased for 15 straight years, with a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.86 billion in FY2024 (+33.5%), $1.39 billion in FY2023 (+56.5%), $888.02 million in FY2022 (+19.7%) and $742.17 million in FY2021 (+4.8%).
- Quarterly Operating Expenses has ranged from $186.21 million in Q3 2021 to $488.47 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 38 consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.2% (Q4 2025) and 95.8% (Q4 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $488.47 million (Q1 2026), $480.52 million (Q4 2025) and $474.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 994.93 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 766.20 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 566.18 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 381.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481.97 Mn |
| Mar 31, 2026 | 488.47 Mn |
| Dec 31, 2025 | 480.52 Mn |
| Sep 30, 2025 | 474.21 Mn |
| Jun 30, 2025 | 466.78 Mn |
| Mar 31, 2025 | 467.03 Mn |
| Dec 31, 2024 | 479.58 Mn |
| Sep 30, 2024 | 461.34 Mn |
| Jun 30, 2024 | 451.24 Mn |
| Mar 31, 2024 | 463.71 Mn |
| Dec 31, 2023 | 464.31 Mn |
| Sep 30, 2023 | 448.24 Mn |
| Jun 30, 2023 | 238.05 Mn |
| Mar 31, 2023 | 239.51 Mn |
| Dec 31, 2022 | 237.15 Mn |
| Sep 30, 2022 | 229.05 Mn |
| Jun 30, 2022 | 213.57 Mn |
| Mar 31, 2022 | 208.25 Mn |
| Dec 31, 2021 | 192.49 Mn |
| Sep 30, 2021 | 186.21 Mn |
Extra Space 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=EXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EXR", "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=EXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();