Elme Communities (ELME) EPS (Diluted) (2009 - 2025)
Elme Communities' EPS (Diluted) was -$1.40 in Q3 2025, compared with -$0.03 a year earlier.
Analysis
Elme Communities (ELME) EPS (Diluted) (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, Elme Communities' EPS (Diluted) was -$1.53 through Sep 30, 2025; for FY2024, it was -$0.15.
- In earlier years, EPS (Diluted) was -$0.60 in FY2023, -$0.35 in FY2022, $0.19 in FY2021 and -$0.19 in FY2020.
- The Q3 2025 figure marks the lowest quarterly EPS (Diluted) in data going back to Q2 2009.
- Per Business Quant data, ELME's EPS (Diluted) in the three quarters before Q3 2025 was -$0.04 (Q2 2025), -$0.05 (Q1 2025) and -$0.03 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 0.60 |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.11 |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 9.34 |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 0.37 |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 2.55 |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 0.14 |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 1.20 |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 0.48 |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 0.30 |
| 10 | Elme Communities | 151.06 Mn | -1.20 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1.40 |
| Jun 30, 2025 | -0.04 |
| Mar 31, 2025 | -0.05 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | -0.03 |
| Jun 30, 2024 | -0.04 |
| Mar 31, 2024 | -0.04 |
| Dec 31, 2023 | -0.04 |
| Sep 30, 2023 | -0.50 |
| Jun 30, 2023 | -0.03 |
| Mar 31, 2023 | -0.04 |
| Dec 31, 2022 | -0.04 |
| Sep 30, 2022 | -0.12 |
| Jun 30, 2022 | -0.10 |
| Mar 31, 2022 | -0.09 |
| Dec 31, 2021 | -0.08 |
| Sep 30, 2021 | 0.37 |
| Jun 30, 2021 | -0.08 |
| Mar 31, 2021 | -0.01 |
| Dec 31, 2020 | -0.13 |
API Access
Elme Communities EPS (Diluted) 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=eps-diluted&ticker=ELME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ELME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();