Essex Property Trust (ESS) Property Operating Expenses (2009 - 2026)
Essex Property Trust (ESS) recorded Property Operating Expenses of $95.93 million in Q3 2026, up 4.9% from $91.41 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Essex Property Trust (ESS) Property Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Essex Property Trust's Property Operating Expenses came in at $364.19 million as of Sep 30, 2026, up 4.9% year-over-year; for FY2025, it came in at $353.36 million, up 7.7% from FY2024.
- Annual Property Operating Expenses has increased for nine straight years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Property Operating Expenses came in at $328.12 million in FY2024 (+8.7%), $301.95 million in FY2023 (+6.6%), $283.35 million in FY2022 (+7.0%) and $264.87 million in FY2021 (+0.5%).
- The Q3 2026 figure is the highest quarterly Property Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Property Operating Expenses has increased for 21 consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- The year-over-year growth in Property Operating Expenses has ranged between 1.1% (Q4 2021) and 11.4% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $89.61 million (Q2 2026), $89.13 million (Q1 2026) and $89.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | Essex Property Trust | 17.61 Bn | 17.36 Bn | - | 95.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 95.93 Mn |
| Jun 30, 2026 | 89.61 Mn |
| Mar 31, 2026 | 89.13 Mn |
| Dec 31, 2025 | 89.52 Mn |
| Sep 30, 2025 | 91.41 Mn |
| Jun 30, 2025 | 86.39 Mn |
| Mar 31, 2025 | 86.03 Mn |
| Dec 31, 2024 | 83.49 Mn |
| Sep 30, 2024 | 85.84 Mn |
| Jun 30, 2024 | 79.22 Mn |
| Mar 31, 2024 | 79.58 Mn |
| Dec 31, 2023 | 77.21 Mn |
| Sep 30, 2023 | 77.02 Mn |
| Jun 30, 2023 | 73.84 Mn |
| Mar 31, 2023 | 73.88 Mn |
| Dec 31, 2022 | 71.28 Mn |
| Sep 30, 2022 | 73.45 Mn |
| Jun 30, 2022 | 69.76 Mn |
| Mar 31, 2022 | 68.86 Mn |
| Dec 31, 2021 | 66.99 Mn |
API Access
Essex Property Trust Property 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=property-operating-expenses&ticker=ESS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "ESS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=ESS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();