Offerpad Solutions (OPAD) Operating Expenses (2020 - 2026)
Offerpad Solutions' Operating Expenses came in at $15.36 million for Q2 2026, down 30.1% from $21.97 million a year earlier but up 5.3% from the prior quarter.
Powered by 
Analysis
Offerpad Solutions (OPAD) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Offerpad Solutions reported Operating Expenses of $61.36 million, down 35.0% year-over-year; for FY2025, it was $75.43 million, down 36.2% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $118.24 million in FY2024 (-32.3%), $174.59 million in FY2023 (-43.6%), $309.74 million in FY2022 (+64.7%) and $188.05 million in FY2021 (+85.2%).
- The five-year range for quarterly Operating Expenses is $14.59 million (Q1 2026) to $87.73 million (Q1 2022).
- Year-over-year, Operating Expenses has declined for 15 consecutive quarters, with an average decline of 32.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 173.4%), and the weakest in Q4 2023 (a decline of 57.0%).
- Business Quant data shows OPAD's Operating Expenses at $14.59 million (Q1 2026), $15.34 million (Q4 2025) and $16.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Offerpad Solutions | 15.80 Mn | -115.64 Mn | 7.12 Mn | 15.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.36 Mn |
| Mar 31, 2026 | 14.59 Mn |
| Dec 31, 2025 | 15.34 Mn |
| Sep 30, 2025 | 16.08 Mn |
| Jun 30, 2025 | 21.97 Mn |
| Mar 31, 2025 | 22.04 Mn |
| Dec 31, 2024 | 24.26 Mn |
| Sep 30, 2024 | 26.07 Mn |
| Jun 30, 2024 | 31.73 Mn |
| Mar 31, 2024 | 36.18 Mn |
| Dec 31, 2023 | 27.94 Mn |
| Sep 30, 2023 | 43.52 Mn |
| Jun 30, 2023 | 44.07 Mn |
| Mar 31, 2023 | 59.07 Mn |
| Dec 31, 2022 | 65.04 Mn |
| Sep 30, 2022 | 72.37 Mn |
| Jun 30, 2022 | 84.60 Mn |
| Mar 31, 2022 | 87.73 Mn |
| Dec 31, 2021 | 66.96 Mn |
| Sep 30, 2021 | 49.66 Mn |
API Access
Offerpad Solutions Operating 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=operating-expenses&ticker=OPAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OPAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OPAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();