Elme Communities (ELMES) Property Operating Expenses (2009 - 2025)
Elme Communities (ELMES) posted Property Operating Expenses of $16.05 million for Q3 2025, up 13.9% from $14.1 million a year earlier and up 9.8% from the prior quarter.
Elme Communities (ELMES) Property Operating Expenses (2009 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Property Operating Expenses at Elme Communities was $59.58 million, up 10.0% year-over-year; for FY2024, it came in at $56.28 million, up 10.4% from FY2023.
- Annual Property Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.9% (FY2019 to FY2024).
- In prior years, Elme Communities' Property Operating Expenses was $50.99 million in FY2023 (+7.6%), $47.38 million in FY2022 (+22.8%), $38.57 million in FY2021 (-2.7%) and $39.63 million in FY2020 (-1.9%).
- The Q3 2025 figure stands as the highest quarterly Property Operating Expenses since Q2 2018.
- On a year-over-year basis, Property Operating Expenses has increased in each of the last eight quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Property Operating Expenses in the past five years was Q3 2022, with growth of 32.2%; the weakest was Q3 2021, with a decline of 4.5%.
- According to Business Quant data, Property Operating Expenses for the three prior quarters was $14.62 million (Q2 2025), $14.18 million (Q1 2025) and $14.73 million (Q4 2024).
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 | Elme Communities | 4.41 Mn | -1.35 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 16.05 Mn |
| Jun 30, 2025 | 14.62 Mn |
| Mar 31, 2025 | 14.18 Mn |
| Dec 31, 2024 | 14.73 Mn |
| Sep 30, 2024 | 14.10 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 13.46 Mn |
| Dec 31, 2023 | 12.63 Mn |
| Sep 30, 2023 | 12.70 Mn |
| Jun 30, 2023 | 13.33 Mn |
| Mar 31, 2023 | 12.34 Mn |
| Dec 31, 2022 | 11.98 Mn |
| Sep 30, 2022 | 13.09 Mn |
| Jun 30, 2022 | 11.75 Mn |
| Mar 31, 2022 | 10.57 Mn |
| Dec 31, 2021 | 9.92 Mn |
| Sep 30, 2021 | 9.90 Mn |
| Jun 30, 2021 | 9.36 Mn |
| Mar 31, 2021 | 9.40 Mn |
| Dec 31, 2020 | 10.03 Mn |
Elme Communities 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=ELMES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "ELMES", "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=ELMES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();