Opendoor Technologies (OPEN) Total Liabilities (2019 - 2026)
Opendoor Technologies' Total Liabilities was $2.05 billion in Q2 2026, down 10.1% from $2.28 billion a year earlier but up 46.7% from the prior quarter.
Opendoor Technologies (OPEN) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Opendoor Technologies came in at $1.4 billion, down 41.9% from FY2024.
- Total Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.41 billion in FY2024 (-7.2%), $2.6 billion in FY2023 (-52.9%), $5.52 billion in FY2022 (-23.9%) and $7.26 billion in FY2021.
- Quarterly Total Liabilities has moved between $1.4 billion (Q1 2026) and $8.3 billion (Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 18.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 567.4%); the worst was Q3 2023 (a decline of 64.7%).
- Per Business Quant data, OPEN's Total Liabilities in the three quarters before Q2 2026 was $1.4 billion (Q1 2026), $1.4 billion (Q4 2025) and $1.89 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.55 Bn | 22.38 Bn | - | 187.08 Mn |
| 2 | St Joe | 3.95 Bn | 3.44 Bn | 73.42 Mn | 735.38 Mn |
| 3 | Millrose Properties | 3.88 Bn | 3.52 Bn | - | 3.86 Bn |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn | 545.46 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.83 Bn | 86.00 Mn | 2.05 Bn |
| 6 | Forestar | 1.30 Bn | -43.39 Mn | 84.10 Mn | 1.36 Bn |
| 7 | Five Point Holdings | 662.61 Mn | -795.01 Mn | -23.72 Mn | 884.80 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 146.63 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 291.50 Mn |
| 10 | Global Asset Management | 182.09 Mn | 179.78 Mn | 236,261.00 | 27.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.05 Bn |
| Mar 31, 2026 | 1.40 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.89 Bn |
| Jun 30, 2025 | 2.28 Bn |
| Mar 31, 2025 | 2.63 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Sep 30, 2024 | 2.61 Bn |
| Jun 30, 2024 | 2.53 Bn |
| Mar 31, 2024 | 2.51 Bn |
| Dec 31, 2023 | 2.60 Bn |
| Sep 30, 2023 | 2.93 Bn |
| Jun 30, 2023 | 3.14 Bn |
| Mar 31, 2023 | 4.08 Bn |
| Dec 31, 2022 | 5.52 Bn |
| Sep 30, 2022 | 8.30 Bn |
| Jun 30, 2022 | 7.78 Bn |
| Mar 31, 2022 | 5.93 Bn |
| Dec 31, 2021 | 7.26 Bn |
| Sep 30, 2021 | 6.61 Bn |
Opendoor Technologies 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=OPEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OPEN", "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=OPEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();