American Realty Investors (ARL) Total Liabilities (2010 - 2026)
American Realty Investors (ARL) posted Total Liabilities of $276.48 million for Q2 2026, down 0.6% from $278.22 million a year earlier but up 1.1% from the prior quarter.
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Analysis
American Realty Investors (ARL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, American Realty Investors' Total Liabilities came in at $277.6 million, up 20.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -12.3% (FY2020 to FY2025).
- In prior years, American Realty Investors' Total Liabilities was $230.53 million in FY2024 (+11.4%), $206.97 million in FY2023 (-46.3%), $385.31 million in FY2022 (-11.2%) and $433.72 million in FY2021 (-19.0%).
- Quarterly Total Liabilities has run from a low of $203.95 million in Q1 2024 to a high of $433.72 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 14.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 34.6%; the weakest was Q4 2023, with a decline of 46.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $273.57 million (Q1 2026), $277.6 million (Q4 2025) and $287.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 187.08 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | 5.30 Mn |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 545.46 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | 3.86 Bn |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 735.38 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 1.69 Bn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 2.05 Bn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 1.36 Bn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | 884.80 Mn |
| 10 | American Realty Investors | 268.61 Mn | 463.62 Mn | - | 276.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.48 Mn |
| Mar 31, 2026 | 273.57 Mn |
| Dec 31, 2025 | 277.60 Mn |
| Sep 30, 2025 | 287.64 Mn |
| Jun 30, 2025 | 278.22 Mn |
| Mar 31, 2025 | 239.45 Mn |
| Dec 31, 2024 | 230.53 Mn |
| Sep 30, 2024 | 240.23 Mn |
| Jun 30, 2024 | 206.66 Mn |
| Mar 31, 2024 | 203.95 Mn |
| Dec 31, 2023 | 206.97 Mn |
| Sep 30, 2023 | 241.56 Mn |
| Jun 30, 2023 | 244.05 Mn |
| Mar 31, 2023 | 297.03 Mn |
| Dec 31, 2022 | 385.31 Mn |
| Sep 30, 2022 | 394.40 Mn |
| Jun 30, 2022 | 364.61 Mn |
| Mar 31, 2022 | 378.02 Mn |
| Dec 31, 2021 | 433.72 Mn |
| Sep 30, 2021 | 427.64 Mn |
API Access
American Realty Investors 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=ARL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ARL", "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=ARL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();