Eastgroup Properties (EGP) Operating Expenses (2009 - 2026)
Eastgroup Properties (EGP) posted Operating Expenses of $114.53 million for Q2 2026, up 7.2% from $106.84 million a year earlier and up 0.6% from the prior quarter.
Eastgroup Properties (EGP) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Eastgroup Properties was $447.83 million, up 9.3% year-over-year; for FY2025, it came in at $433.77 million, up 12.7% from FY2024.
- Annual Operating Expenses has increased for 14 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Eastgroup Properties' Operating Expenses was $385.03 million in FY2024 (+12.4%), $342.45 million in FY2023 (+12.5%), $304.46 million in FY2022 (+17.7%) and $258.58 million in FY2021 (+10.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last 59 quarters, with growth averaging 10.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 5.9% (Q1 2026) and 20.1% (Q4 2022) over the last five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was $113.86 million (Q1 2026), $111.5 million (Q4 2025) and $107.94 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 | Eastgroup Properties | 10.61 Bn | 10.61 Bn | - | 114.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.53 Mn |
| Mar 31, 2026 | 113.86 Mn |
| Dec 31, 2025 | 111.50 Mn |
| Sep 30, 2025 | 107.94 Mn |
| Jun 30, 2025 | 106.84 Mn |
| Mar 31, 2025 | 107.50 Mn |
| Dec 31, 2024 | 97.13 Mn |
| Sep 30, 2024 | 98.39 Mn |
| Jun 30, 2024 | 94.48 Mn |
| Mar 31, 2024 | 95.03 Mn |
| Dec 31, 2023 | 88.50 Mn |
| Sep 30, 2023 | 86.81 Mn |
| Jun 30, 2023 | 84.60 Mn |
| Mar 31, 2023 | 82.54 Mn |
| Dec 31, 2022 | 79.83 Mn |
| Sep 30, 2022 | 78.40 Mn |
| Jun 30, 2022 | 74.35 Mn |
| Mar 31, 2022 | 71.89 Mn |
| Dec 31, 2021 | 66.46 Mn |
| Sep 30, 2021 | 65.60 Mn |
Eastgroup 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=EGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EGP", "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=EGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();