American Realty Investors (ARL) EBITDA (2010 - 2026)
American Realty Investors' EBITDA came in at $1.18 million for Q2 2026, down 42.8% from $2.07 million a year earlier and down 18.4% from the prior quarter.
American Realty Investors (ARL) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Realty Investors reported EBITDA of $4.68 million, down 27.8% year-over-year; for FY2025, it came in at $6.21 million, up 5.3% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $5.89 million in FY2024 (+76.9%), $3.33 million in FY2023 (-13.3%), $3.84 million in FY2022 and -$5.59 million in FY2021.
- The five-year range for quarterly EBITDA is -$1.29 million (Q1 2022) to $5.15 million (Q4 2022).
- Year-over-year, EBITDA has declined for three consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2024 (growth of 149.3%), and the weakest in Q4 2023 (a decline of 63.9%).
- Business Quant data shows ARL's EBITDA at $1.45 million (Q1 2026), $676,000 (Q4 2025) and $1.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 208.46 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 48.53 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 66.16 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 72.10 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -136.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | -43.27 Mn |
| 10 | American Realty Investors | 268.61 Mn | 463.62 Mn | - | 1.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 676,000.00 |
| Sep 30, 2025 | 1.38 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 2.09 Mn |
| Dec 31, 2024 | 1.08 Mn |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.89 Mn |
| Mar 31, 2024 | 1.67 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 1.23 Mn |
| Jun 30, 2023 | -434,000.00 |
| Mar 31, 2023 | 669,000.00 |
| Dec 31, 2022 | 5.15 Mn |
| Sep 30, 2022 | -142,000.00 |
| Jun 30, 2022 | 120,000.00 |
| Mar 31, 2022 | -1.29 Mn |
| Dec 31, 2021 | -347,000.00 |
| Sep 30, 2021 | -1.22 Mn |
American Realty Investors EBITDA 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=ebitda&ticker=ARL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();