Essex Property Trust (ESS) EBITDA (2010 - 2026)
Essex Property Trust (ESS) posted EBITDA of $311.85 million for Q3 2026, down 14.4% from $364.22 million a year earlier but up 17.2% from the prior quarter.
Essex Property Trust (ESS) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Essex Property Trust was $1.2 billion, down 27.8% year-over-year; for FY2025, it came in at $1.51 billion, up 17.3% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Essex Property Trust's EBITDA was $1.29 billion in FY2024 (+13.3%), $1.14 billion in FY2023 (-0.1%), $1.14 billion in FY2022 (+7.7%) and $1.06 billion in FY2021 (+3.5%).
- Quarterly EBITDA has run from a low of $234.99 million in Q4 2021 to a high of $454.74 million in Q4 2024 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last four quarters, with growth averaging 11.5% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2024, with growth of 68.3%; the weakest was Q2 2026, with a decline of 38.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $265.97 million (Q2 2026), $312.75 million (Q1 2026) and $307.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 1.06 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 1.78 Bn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 1.28 Bn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 732.77 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 1.47 Bn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 667.45 Mn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 591.18 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 568.53 Mn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 451.46 Mn |
| 10 | Essex Property Trust | 17.61 Bn | 17.36 Bn | - | 311.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 311.85 Mn |
| Jun 30, 2026 | 265.97 Mn |
| Mar 31, 2026 | 312.75 Mn |
| Dec 31, 2025 | 307.95 Mn |
| Sep 30, 2025 | 364.22 Mn |
| Jun 30, 2025 | 433.26 Mn |
| Mar 31, 2025 | 408.59 Mn |
| Dec 31, 2024 | 454.74 Mn |
| Sep 30, 2024 | 277.03 Mn |
| Jun 30, 2024 | 284.91 Mn |
| Mar 31, 2024 | 274.43 Mn |
| Dec 31, 2023 | 270.24 Mn |
| Sep 30, 2023 | 271.00 Mn |
| Jun 30, 2023 | 273.44 Mn |
| Mar 31, 2023 | 325.01 Mn |
| Dec 31, 2022 | 365.70 Mn |
| Sep 30, 2022 | 265.70 Mn |
| Jun 30, 2022 | 264.81 Mn |
| Mar 31, 2022 | 245.05 Mn |
| Dec 31, 2021 | 234.99 Mn |
Essex Property Trust EBITDA 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=ebitda&ticker=ESS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();