Opendoor Technologies (OPEN) Shares Outstanding (2019 - 2026)
Opendoor Technologies (OPEN) reported Weighted Average Shares Outstanding of 965.78 million for Q2 2026, up 32.4% from 729.48 million a year earlier and up 0.7% from the prior quarter.
Opendoor Technologies (OPEN) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Opendoor Technologies posted Weighted Average Shares Outstanding of 766.53 million, up 9.6% from FY2024.
- Weighted Average Shares Outstanding has increased for seven consecutive years, with a five-year compound annual growth rate of 47.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 699.46 million in FY2024 (+6.4%), 657.11 million in FY2023 (+4.8%), 627.11 million in FY2022 (+5.8%) and 592.57 million in FY2021 (+442.1%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2019.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 23 quarters, with growth averaging 13.0% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 3.4% (Q2 2023) and 577.4% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 959.33 million (Q1 2026), 766.53 million (Q4 2025) and 741.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 68.97 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 59.02 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 166.05 Mn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 56.74 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | 84.89 Mn |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 27.96 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 949.48 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 51.11 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | 26.37 Mn |
| 10 | Tejon Ranch | 477.18 Mn | 409.05 Mn | - | 27.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 949.48 Mn |
| Jun 30, 2026 | 965.78 Mn |
| Mar 31, 2026 | 959.33 Mn |
| Dec 31, 2025 | 766.53 Mn |
| Sep 30, 2025 | 741.94 Mn |
| Jun 30, 2025 | 729.48 Mn |
| Mar 31, 2025 | 723.54 Mn |
| Dec 31, 2024 | 699.46 Mn |
| Sep 30, 2024 | 705.36 Mn |
| Jun 30, 2024 | 693.45 Mn |
| Mar 31, 2024 | 682.46 Mn |
| Dec 31, 2023 | 657.11 Mn |
| Sep 30, 2023 | 662.15 Mn |
| Jun 30, 2023 | 646.06 Mn |
| Mar 31, 2023 | 641.92 Mn |
| Dec 31, 2022 | 627.11 Mn |
| Sep 30, 2022 | 629.54 Mn |
| Jun 30, 2022 | 624.96 Mn |
| Mar 31, 2022 | 619.14 Mn |
| Dec 31, 2021 | 592.57 Mn |
Opendoor Technologies Shares Outstanding 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=shares-outstanding&ticker=OPEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=OPEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();