Opendoor Technologies (OPEN) Return on Sales [ROS] (2020 - 2026)
Opendoor Technologies (OPEN) recorded Return on Sales [ROS] of -18.30% in Q3 2026, down 10.87 percentage points from -7.43% a year earlier and down 1.99 percentage points from the prior quarter.
Opendoor Technologies (OPEN) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Opendoor Technologies' Return on Sales [ROS] came in at -19.04% as of Sep 30, 2026, down 14.15 percentage points year-over-year; for FY2025, it was -6.57%, down 0.36 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +0.63 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -6.21% in FY2024 (-0.65 pp), -5.56% in FY2023 (+0.42 pp), -5.98% in FY2022 (+1.10 pp) and -7.08% in FY2021 (+0.12 pp).
- Quarterly Return on Sales [ROS] has ranged from -24.10% in Q3 2022 to 2.29% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -5.86 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 35.09 percentage points in Q1 2022, against a drop of 21.05 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -16.31% (Q2 2026), -22.08% (Q1 2026) and -20.38% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 76.00% |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 68.06% |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 24.67% |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | 85.52% |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 39.40% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | 91.58% |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 28.75% |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | -18.30% |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | -86.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -18.30% |
| Jun 30, 2026 | -16.31% |
| Mar 31, 2026 | -22.08% |
| Dec 31, 2025 | -20.38% |
| Sep 30, 2025 | -7.43% |
| Jun 30, 2025 | -0.83% |
| Mar 31, 2025 | -4.86% |
| Dec 31, 2024 | -8.67% |
| Sep 30, 2024 | -4.87% |
| Jun 30, 2024 | -4.77% |
| Mar 31, 2024 | -7.37% |
| Dec 31, 2023 | -13.22% |
| Sep 30, 2023 | -8.06% |
| Jun 30, 2023 | -3.44% |
| Mar 31, 2023 | -3.97% |
| Dec 31, 2022 | -9.49% |
| Sep 30, 2022 | -24.10% |
| Jun 30, 2022 | 0.76% |
| Mar 31, 2022 | 2.29% |
| Dec 31, 2021 | -2.67% |
Opendoor Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OPEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OPEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();