Offerpad Solutions (OPAD) Finished Goods (2020 - 2026)
Offerpad Solutions (OPAD) posted Finished Goods of $41.02 million for Q2 2026, down 67.8% from $127.5 million a year earlier but up 22.1% from the prior quarter.
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Analysis
Offerpad Solutions (OPAD) Finished Goods (2020 - 2026) Analysis & Trends
At the end of FY2025, Offerpad Solutions' Finished Goods came in at $62.56 million, down 54.0% from FY2024.
- Annual Finished Goods has declined for three consecutive years, though with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In prior years, Offerpad Solutions' Finished Goods was $135.94 million in FY2024 (-8.6%), $148.65 million in FY2023 (-66.3%), $440.86 million in FY2022 (+10.1%) and $400.31 million in FY2021.
- Quarterly Finished Goods has run from a low of $33.59 million in Q1 2026 to a high of $814.97 million in Q3 2022 over five years.
- On a year-over-year basis, Finished Goods has declined in each of the last five quarters, with an average decline of 27.5% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q2 2024, with growth of 177.8%; the weakest was Q2 2023, with a decline of 90.7%.
- According to Business Quant data, Finished Goods for the three prior quarters was $33.59 million (Q1 2026), $62.56 million (Q4 2025) and $100.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Offerpad Solutions | 15.80 Mn | -115.64 Mn | 7.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.02 Mn |
| Mar 31, 2026 | 33.59 Mn |
| Dec 31, 2025 | 62.56 Mn |
| Sep 30, 2025 | 100.44 Mn |
| Jun 30, 2025 | 127.50 Mn |
| Mar 31, 2025 | 111.86 Mn |
| Dec 31, 2024 | 135.94 Mn |
| Sep 30, 2024 | 169.43 Mn |
| Jun 30, 2024 | 158.95 Mn |
| Mar 31, 2024 | 107.16 Mn |
| Dec 31, 2023 | 148.65 Mn |
| Sep 30, 2023 | 124.23 Mn |
| Jun 30, 2023 | 57.21 Mn |
| Mar 31, 2023 | 40.70 Mn |
| Dec 31, 2022 | 440.86 Mn |
| Sep 30, 2022 | 814.97 Mn |
| Jun 30, 2022 | 614.92 Mn |
| Mar 31, 2022 | 202.60 Mn |
| Dec 31, 2021 | 400.31 Mn |
| Dec 31, 2020 | 30.83 Mn |
API Access
Offerpad Solutions Finished Goods 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=finished-goods&ticker=OPAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=OPAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();