Opko Health (OPK) Research & Development (2010 - 2026)
Opko Health (OPK) posted Research & Development of $33.17 million for Q2 2026, up 9.3% from $30.34 million a year earlier and up 13.6% from the prior quarter.
Opko Health (OPK) Research & Development (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Opko Health was $125.22 million, up 4.0% year-over-year; for FY2025, it came in at $124.03 million, up 17.9% from FY2024.
- Annual Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior years, Opko Health's Research & Development was $105.21 million in FY2024 (+17.4%), $89.59 million in FY2023 (+21.3%), $73.89 million in FY2022 (-3.9%) and $76.85 million in FY2021 (+2.0%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q1 2019.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 23.5%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2023, with growth of 78.1%; the weakest was Q1 2024, with a decline of 32.7%.
- According to Business Quant data, Research & Development for the three prior quarters was $29.2 million (Q1 2026), $32.77 million (Q4 2025) and $30.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.43 Bn | 1,102.02 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 615.31 Bn | 533.83 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 505.93 Bn | 479.05 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 367.07 Bn | 321.44 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.69 Bn | 261.68 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.59 Bn | 235.28 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.28 Bn | 191.68 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.31 Bn | 164.51 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.69 Bn | 117.33 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Opko Health | 1.24 Bn | -184.50 Mn | 80.02 Mn | 33.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.17 Mn |
| Mar 31, 2026 | 29.20 Mn |
| Dec 31, 2025 | 32.77 Mn |
| Sep 30, 2025 | 30.08 Mn |
| Jun 30, 2025 | 30.34 Mn |
| Mar 31, 2025 | 30.84 Mn |
| Dec 31, 2024 | 30.43 Mn |
| Sep 30, 2024 | 28.77 Mn |
| Jun 30, 2024 | 24.08 Mn |
| Mar 31, 2024 | 21.94 Mn |
| Dec 31, 2023 | 19.39 Mn |
| Sep 30, 2023 | 19.44 Mn |
| Jun 30, 2023 | 18.16 Mn |
| Mar 31, 2023 | 32.61 Mn |
| Dec 31, 2022 | 19.53 Mn |
| Sep 30, 2022 | 18.79 Mn |
| Jun 30, 2022 | 17.25 Mn |
| Mar 31, 2022 | 18.31 Mn |
| Dec 31, 2021 | 21.01 Mn |
| Sep 30, 2021 | 18.31 Mn |
Opko Health 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=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "OPK", "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=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();