Offerpad Solutions (OPAD) Cost of Revenue (2020 - 2026)
Offerpad Solutions (OPAD) posted Cost of Revenue of $70.54 million for Q2 2026, down 51.7% from $146.13 million a year earlier and down 5.3% from the prior quarter.
Offerpad Solutions (OPAD) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Offerpad Solutions was $374.51 million, down 42.5% year-over-year; for FY2025, it came in at $525.77 million, down 37.9% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- In prior years, Offerpad Solutions' Cost of Revenue was $846.62 million in FY2024 (-32.0%), $1.24 billion in FY2023 (-67.0%), $3.77 billion in FY2022 (+102.4%) and $1.86 billion in FY2021 (+90.7%).
- The Q2 2026 figure stands as the lowest quarterly Cost of Revenue in data going back to Q3 2020.
- On a year-over-year basis, Cost of Revenue has declined in each of the last eight quarters, with an average decline of 36.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 395.8%; the weakest was Q2 2023, with a decline of 78.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $74.52 million (Q1 2026), $106.11 million (Q4 2025) and $123.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 1.13 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 85.41 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 797.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 322.90 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 37.62 Mn |
| 10 | Offerpad Solutions | 15.51 Mn | -115.93 Mn | 7.12 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.54 Mn |
| Mar 31, 2026 | 74.52 Mn |
| Dec 31, 2025 | 106.11 Mn |
| Sep 30, 2025 | 123.35 Mn |
| Jun 30, 2025 | 146.13 Mn |
| Mar 31, 2025 | 150.19 Mn |
| Dec 31, 2024 | 163.68 Mn |
| Sep 30, 2024 | 190.93 Mn |
| Jun 30, 2024 | 229.25 Mn |
| Mar 31, 2024 | 262.76 Mn |
| Dec 31, 2023 | 223.77 Mn |
| Sep 30, 2023 | 210.26 Mn |
| Jun 30, 2023 | 207.92 Mn |
| Mar 31, 2023 | 602.29 Mn |
| Dec 31, 2022 | 722.07 Mn |
| Sep 30, 2022 | 819.57 Mn |
| Jun 30, 2022 | 986.55 Mn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 797.25 Mn |
| Sep 30, 2021 | 487.17 Mn |
Offerpad Solutions Cost of Revenue 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=cost-of-revenue&ticker=OPAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OPAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();