Elme Communities (ELME) Asset Writedowns and Impairment (2011 - 2025)
Elme Communities (ELME) reported Asset Writedowns and Impairment of $111.72 million for Q3 2025.
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Analysis
Elme Communities (ELME) Asset Writedowns and Impairment (2011 - 2025) Analysis & Trends
For FY2023, Elme Communities posted Asset Writedowns and Impairment of $41.86 million.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 85.9% (FY2018 to FY2023).
- By year, Asset Writedowns and Impairment came in at $8.37 million in FY2019 (+344.0%).
- The Q3 2025 figure ranks as the highest quarterly Asset Writedowns and Impairment in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Elme Communities | 155.50 Mn | -1.20 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 111.72 Mn |
| Sep 30, 2023 | 41.86 Mn |
| Mar 31, 2019 | 8.37 Mn |
| Jun 30, 2018 | -14,000.00 |
| Mar 31, 2018 | 1.90 Mn |
| Dec 31, 2017 | 28.15 Mn |
| Sep 30, 2017 | 5.00 Mn |
| Dec 31, 2016 | -676,000.00 |
| Jun 30, 2016 | -676,000.00 |
| Jun 30, 2015 | -5.90 Mn |
| Mar 31, 2011 | 599,000.00 |
API Access
Elme Communities Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ELME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ELME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();