Opko Health (OPK) Capital Expenditures (2010 - 2026)
Opko Health's Capital Expenditures was $3 million in Q2 2026, down 8.5% from $3.28 million a year earlier but up 63.9% from the prior quarter.
Opko Health (OPK) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opko Health's Capital Expenditures was $10.64 million through Jun 30, 2026, down 46.3% year-over-year; for FY2025, it was $12.28 million, down 50.9% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $25.01 million in FY2024 (+53.7%), $16.28 million in FY2023 (-33.8%), $24.58 million in FY2022 (-23.6%) and $32.16 million in FY2021 (-4.5%).
- Quarterly Capital Expenditures has moved between $1.83 million (Q1 2026) and $7.94 million (Q3 2024) over five years.
- Compared with a year earlier, Capital Expenditures has declined for six straight quarters, with an average decline of 9.6% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2024 (growth of 88.8%); the worst was Q3 2025 (a decline of 60.5%).
- Per Business Quant data, OPK's Capital Expenditures in the three quarters before Q2 2026 was $1.83 million (Q1 2026), $2.67 million (Q4 2025) and $3.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Opko Health | 1.21 Bn | -214.71 Mn | 80.02 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 1.83 Mn |
| Dec 31, 2025 | 2.67 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 3.19 Mn |
| Dec 31, 2024 | 5.41 Mn |
| Sep 30, 2024 | 7.94 Mn |
| Jun 30, 2024 | 7.22 Mn |
| Mar 31, 2024 | 4.44 Mn |
| Dec 31, 2023 | 3.02 Mn |
| Sep 30, 2023 | 4.20 Mn |
| Jun 30, 2023 | 6.01 Mn |
| Mar 31, 2023 | 3.04 Mn |
| Dec 31, 2022 | 6.34 Mn |
| Sep 30, 2022 | 7.61 Mn |
| Jun 30, 2022 | 5.38 Mn |
| Mar 31, 2022 | 5.25 Mn |
| Dec 31, 2021 | 6.73 Mn |
| Sep 30, 2021 | 7.23 Mn |
Opko Health Capital Expenditures 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=capital-expenditures&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();