Elme Communities (ELMES) Accumulated Depreciation (2009 - 2025)
Elme Communities (ELMES) recorded Accumulated Depreciation of $638.52 million in Q3 2025, up 7.2% from $595.53 million a year earlier but down 3.6% from the prior quarter.
Elme Communities (ELMES) Accumulated Depreciation (2009 - 2025) Analysis & Trends
At the end of FY2024, Elme Communities reported Accumulated Depreciation of $618.3 million, up 17.1% from FY2023.
- Annual Accumulated Depreciation has increased for three straight years, though with a five-year compound annual growth rate of -2.8% (FY2019 to FY2024).
- Across earlier years, Accumulated Depreciation came in at $528.02 million in FY2023 (+9.6%), $481.59 million in FY2022 (+19.8%), $401.93 million in FY2021 (-46.3%) and $749.01 million in FY2020 (+5.1%).
- Quarterly Accumulated Depreciation has ranged from $367.52 million in Q2 2021 to $775.69 million in Q1 2021 over the past five years.
- On a year-over-year basis, Accumulated Depreciation has increased for 14 consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- Peak year-over-year performance for Accumulated Depreciation in the last five years was growth of 20.0% in Q2 2022, against a decline of 50.7% in Q2 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $662.21 million (Q2 2025), $640.06 million (Q1 2025) and $618.3 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Elme Communities | 4.41 Mn | -1.35 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 638.52 Mn |
| Jun 30, 2025 | 662.21 Mn |
| Mar 31, 2025 | 640.06 Mn |
| Dec 31, 2024 | 618.30 Mn |
| Sep 30, 2024 | 595.53 Mn |
| Jun 30, 2024 | 573.05 Mn |
| Mar 31, 2024 | 550.42 Mn |
| Dec 31, 2023 | 528.02 Mn |
| Sep 30, 2023 | 506.30 Mn |
| Jun 30, 2023 | 523.15 Mn |
| Mar 31, 2023 | 502.10 Mn |
| Dec 31, 2022 | 481.59 Mn |
| Sep 30, 2022 | 461.29 Mn |
| Jun 30, 2022 | 441.11 Mn |
| Mar 31, 2022 | 421.66 Mn |
| Dec 31, 2021 | 401.93 Mn |
| Sep 30, 2021 | 384.39 Mn |
| Jun 30, 2021 | 367.52 Mn |
| Mar 31, 2021 | 775.69 Mn |
| Dec 31, 2020 | 749.01 Mn |
Elme Communities Accumulated Depreciation 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=accumulated-depreciation&ticker=ELMES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=ELMES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();