Opko Health (OPK) Research & Development (2009 - 2026)
Opko Health (OPK) posted Research & Development of $32.18 million for Q3 2026, up 8.0% from $29.8 million a year earlier but down 3.0% from the prior quarter.
Opko Health (OPK) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Research & Development at Opko Health was $128.23 million, up 5.6% 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%).
- Quarterly Research & Development has run from a low of $17.25 million in Q2 2022 to a high of $33.69 million in Q4 2025 over five years.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 18.7%.
- 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 $33.17 million (Q2 2026), $29.2 million (Q1 2026) and $33.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Opko Health | 1.27 Bn | -393.40 Mn | 42.06 Mn | 32.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.18 Mn |
| Jun 30, 2026 | 33.17 Mn |
| Mar 31, 2026 | 29.20 Mn |
| Dec 31, 2025 | 33.69 Mn |
| Sep 30, 2025 | 29.80 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 |
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();