Elme Communities (ELMES) Total Liabilities (2009 - 2025)
Elme Communities' Total Liabilities came in at $1.88 billion for Q4 2025, up 145.6% from $763.68 million a year earlier and up 141.1% from the prior quarter.
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Analysis
Elme Communities (ELMES) Total Liabilities (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Elme Communities' Total Liabilities data covers 62 quarters.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $763.68 million in FY2024 (+2.4%), $745.68 million in FY2023 (+22.5%), $608.82 million in FY2022 (+8.9%) and $558.93 million in FY2021 (-48.7%).
- The Q4 2025 figure represents the highest quarterly Total Liabilities in data going back to Q4 2009.
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 25.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2025 (growth of 145.6%), and the weakest in Q3 2021 (a decline of 54.6%).
- Business Quant data shows ELMES's Total Liabilities at $777.68 million (Q3 2025), $763.73 million (Q2 2025) and $764.38 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.55 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 33.94 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 13.78 Bn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 35.35 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 14.77 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 6.23 Bn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 19.56 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 15.20 Bn |
| 10 | Elme Communities | 4.41 Mn | -1.35 Bn | - | 1.88 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.88 Bn |
| Sep 30, 2025 | 777.68 Mn |
| Jun 30, 2025 | 763.73 Mn |
| Mar 31, 2025 | 764.38 Mn |
| Dec 31, 2024 | 763.68 Mn |
| Sep 30, 2024 | 754.19 Mn |
| Jun 30, 2024 | 743.33 Mn |
| Mar 31, 2024 | 740.14 Mn |
| Dec 31, 2023 | 745.68 Mn |
| Sep 30, 2023 | 737.22 Mn |
| Jun 30, 2023 | 607.57 Mn |
| Mar 31, 2023 | 608.68 Mn |
| Dec 31, 2022 | 608.82 Mn |
| Sep 30, 2022 | 598.34 Mn |
| Jun 30, 2022 | 630.78 Mn |
| Mar 31, 2022 | 551.48 Mn |
| Dec 31, 2021 | 558.93 Mn |
| Sep 30, 2021 | 556.35 Mn |
| Jun 30, 2021 | 1.09 Bn |
| Mar 31, 2021 | 1.08 Bn |
API Access
Elme Communities Total Liabilities 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=total-liabilities&ticker=ELMES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ELMES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();