Eastgroup Properties (EGP) Property Operating Expenses (2009 - 2026)
Eastgroup Properties (EGP) recorded Property Operating Expenses of $51.82 million in Q3 2026, up 7.9% from $48 million a year earlier and up 2.2% from the prior quarter.
Eastgroup Properties (EGP) Property Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Eastgroup Properties' Property Operating Expenses came in at $202.14 million as of Sep 30, 2026, up 8.5% year-over-year; for FY2025, it was $192.24 million, up 10.4% from FY2024.
- Annual Property Operating Expenses has increased for four straight years, with a four-year compound annual growth rate of 13.7% (FY2021 to FY2025).
- Across earlier years, Property Operating Expenses came in at $174.21 million in FY2024 (+13.1%), $154.03 million in FY2023 (+15.0%), $133.92 million in FY2022 (+16.4%) and $115.08 million in FY2021.
- 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 13 consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- The year-over-year growth in Property Operating Expenses has ranged between 4.8% (Q2 2026) and 18.8% (Q1 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $50.68 million (Q2 2026), $50.52 million (Q1 2026) and $49.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Eastgroup Properties | 10.63 Bn | 10.56 Bn | - | 51.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.82 Mn |
| Jun 30, 2026 | 50.68 Mn |
| Mar 31, 2026 | 50.52 Mn |
| Dec 31, 2025 | 49.12 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 48.36 Mn |
| Mar 31, 2025 | 46.76 Mn |
| Dec 31, 2024 | 43.20 Mn |
| Sep 30, 2024 | 44.16 Mn |
| Jun 30, 2024 | 43.85 Mn |
| Mar 31, 2024 | 43.00 Mn |
| Dec 31, 2023 | 39.37 Mn |
| Sep 30, 2023 | 40.71 Mn |
| Jun 30, 2023 | 37.77 Mn |
| Mar 31, 2023 | 36.19 Mn |
| Dec 31, 2022 | 35.27 Mn |
| Sep 30, 2022 | 35.03 Mn |
| Jun 30, 2018 | 21.45 Mn |
| Mar 31, 2018 | 20.68 Mn |
| Dec 31, 2017 | 20.75 Mn |
Eastgroup Properties 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=EGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-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=property-operating-expenses&ticker=EGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();