Offerpad Solutions (OPAD) Research & Development (2020 - 2026)
Offerpad Solutions (OPAD) posted Research & Development of $954,000 for Q2 2026, down 3.2% from $986,000 a year earlier but up 7.7% from the prior quarter.
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Analysis
Offerpad Solutions (OPAD) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Offerpad Solutions was $3.24 million, down 14.6% year-over-year; for FY2025, it came in at $3.41 million, down 24.7% from FY2024.
- Annual Research & Development has declined for three consecutive years, with a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In prior years, Offerpad Solutions' Research & Development was $4.52 million in FY2024 (-43.1%), $7.95 million in FY2023 (-34.3%), $12.09 million in FY2022 (+11.3%) and $10.86 million in FY2021 (+49.4%).
- Quarterly Research & Development has run from a low of $611,000 in Q4 2025 to a high of $3.24 million in Q2 2022 over five years.
- On a year-over-year basis, Research & Development has declined in each of the last four quarters, with an average decline of 23.6% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 76.0%; the weakest was Q4 2023, with a decline of 58.5%.
- According to Business Quant data, Research & Development for the three prior quarters was $886,000 (Q1 2026), $611,000 (Q4 2025) and $788,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (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 | 27.00 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 | 954,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 954,000.00 |
| Mar 31, 2026 | 886,000.00 |
| Dec 31, 2025 | 611,000.00 |
| Sep 30, 2025 | 788,000.00 |
| Jun 30, 2025 | 986,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 840,000.00 |
| Sep 30, 2024 | 947,000.00 |
| Jun 30, 2024 | 964,000.00 |
| Mar 31, 2024 | 1.77 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 2.31 Mn |
| Mar 31, 2023 | 2.24 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 2.69 Mn |
| Jun 30, 2022 | 3.24 Mn |
| Mar 31, 2022 | 3.18 Mn |
| Dec 31, 2021 | 3.20 Mn |
| Sep 30, 2021 | 2.78 Mn |
API Access
Offerpad Solutions Research & Development 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=research-and-development&ticker=OPAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=OPAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();