Opendoor Technologies (OPEN) Accumulated Expenses (2019 - 2026)
Opendoor Technologies (OPEN) posted Accumulated Expenses of $6 million for Q3 2026, down 33.3% from $9 million a year earlier but up 100.0% from the prior quarter.
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Analysis
Opendoor Technologies (OPEN) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Opendoor Technologies' Accumulated Expenses came in at $1 million, down 97.0% from FY2024.
- Annual Accumulated Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -39.2% (FY2020 to FY2025).
- In prior years, Opendoor Technologies' Accumulated Expenses was $33 million in FY2024 (-5.7%), $35 million in FY2023 (-40.7%), $59 million in FY2022 (-24.4%) and $78 million in FY2021 (+550.0%).
- Quarterly Accumulated Expenses has run from a low of $1 million in Q2 2023 to a high of $78 million in Q4 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with growth averaging 73.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 550.0%; the weakest was Q4 2025, with a decline of 97.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $3 million (Q2 2026), $2 million (Q1 2026) and $1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.00 Mn |
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 9.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 33.00 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 35.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 59.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 78.00 Mn |
API Access
Opendoor Technologies Accumulated Expenses 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-expenses&ticker=OPEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=OPEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();