Equity Lifestyle Properties (ELS) Operating Expenses (2009 - 2026)
Equity Lifestyle Properties (ELS) posted Operating Expenses of $298.46 million for Q2 2026, up 2.0% from $292.64 million a year earlier and up 4.6% from the prior quarter.
Equity Lifestyle Properties (ELS) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Equity Lifestyle Properties was $1.15 billion, up 0.6% year-over-year; for FY2025, it came in at $1.14 billion, down 0.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Equity Lifestyle Properties' Operating Expenses was $1.15 billion in FY2024 (-2.0%), $1.17 billion in FY2023 (+1.5%), $1.15 billion in FY2022 (+10.3%) and $1.04 billion in FY2021 (+18.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 17.9%; the weakest was Q1 2024, with a decline of 3.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $285.25 million (Q1 2026), $274.86 million (Q4 2025) and $294.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Equity Lifestyle Properties | 11.32 Bn | 11.38 Bn | 359.07 Mn | 298.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.46 Mn |
| Mar 31, 2026 | 285.25 Mn |
| Dec 31, 2025 | 274.86 Mn |
| Sep 30, 2025 | 294.69 Mn |
| Jun 30, 2025 | 292.64 Mn |
| Mar 31, 2025 | 277.84 Mn |
| Dec 31, 2024 | 270.96 Mn |
| Sep 30, 2024 | 304.47 Mn |
| Jun 30, 2024 | 298.47 Mn |
| Mar 31, 2024 | 271.58 Mn |
| Dec 31, 2023 | 275.26 Mn |
| Sep 30, 2023 | 307.78 Mn |
| Jun 30, 2023 | 304.94 Mn |
| Mar 31, 2023 | 281.39 Mn |
| Dec 31, 2022 | 268.15 Mn |
| Sep 30, 2022 | 308.18 Mn |
| Jun 30, 2022 | 301.97 Mn |
| Mar 31, 2022 | 273.31 Mn |
| Dec 31, 2021 | 267.59 Mn |
| Sep 30, 2021 | 273.99 Mn |
Equity Lifestyle Properties 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=ELS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELS", "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=ELS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();