Elme Communities (ELME) Other Operating Expenses (2009 - 2025)
Elme Communities (ELME) posted Other Operating Expenses of $161.89 million for Q3 2025, up 237.5% from $47.97 million a year earlier and up 233.9% from the prior quarter.
Elme Communities (ELME) Other Operating Expenses (2009 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Other Operating Expenses at Elme Communities was $306.45 million, up 60.0% year-over-year; for FY2024, it was $103.8 million, down 27.1% from FY2023.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 1.0% (FY2019 to FY2024).
- In prior years, Elme Communities' Other Operating Expenses was $142.39 million in FY2023 (+34.8%), $105.65 million in FY2022 (+32.0%), $80.01 million in FY2021 (+6.9%) and $74.86 million in FY2020 (-24.1%).
- The Q3 2025 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 26.0%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2025, with growth of 237.5%; the weakest was Q3 2024, with a decline of 44.5%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $48.48 million (Q2 2025), $47.48 million (Q1 2025) and $48.6 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Elme Communities | 154.61 Mn | -1.20 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 161.89 Mn |
| Jun 30, 2025 | 48.48 Mn |
| Mar 31, 2025 | 47.48 Mn |
| Dec 31, 2024 | 48.60 Mn |
| Sep 30, 2024 | 47.97 Mn |
| Jun 30, 2024 | 48.05 Mn |
| Mar 31, 2024 | 48.88 Mn |
| Dec 31, 2023 | 46.58 Mn |
| Sep 30, 2023 | 86.48 Mn |
| Jun 30, 2023 | 46.31 Mn |
| Mar 31, 2023 | 45.73 Mn |
| Dec 31, 2022 | 45.57 Mn |
| Sep 30, 2022 | 47.51 Mn |
| Jun 30, 2022 | 46.44 Mn |
| Mar 31, 2022 | 43.33 Mn |
| Dec 31, 2021 | 39.24 Mn |
| Sep 30, 2021 | 36.21 Mn |
| Jun 30, 2021 | 37.31 Mn |
| Mar 31, 2021 | 33.44 Mn |
| Dec 31, 2020 | 35.08 Mn |
Elme Communities Other 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=other-operating-expenses&ticker=ELME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ELME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ELME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();