Opko Health (OPK) Amortization - Intangibles (2012 - 2026)
Opko Health's Amortization - Intangibles came in at $19 million for Q2 2026, down 2.3% from $19.44 million a year earlier and unchanged from the prior quarter.
Opko Health (OPK) Amortization - Intangibles (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Opko Health reported Amortization - Intangibles of $76.6 million, down 4.4% year-over-year; for FY2025, it came in at $77.9 million, down 5.7% from FY2024.
- Amortization - Intangibles has declined in each of the last three years, though with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $82.63 million in FY2024 (-3.9%), $86.03 million in FY2023 (-2.0%), $87.8 million in FY2022 (+74.6%) and $50.3 million in FY2021 (-10.8%).
- The five-year range for quarterly Amortization - Intangibles is $12.5 million (Q4 2021) to $22.8 million (Q2 2022).
- Year-over-year, Amortization - Intangibles has declined for 11 consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q2 2022 (growth of 81.3%), and the weakest in Q3 2021 (a decline of 9.2%).
- Business Quant data shows OPK's Amortization - Intangibles at $19 million (Q1 2026), $19.07 million (Q4 2025) and $19.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Opko Health | 1.21 Bn | -214.71 Mn | 80.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.00 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 19.07 Mn |
| Sep 30, 2025 | 19.53 Mn |
| Jun 30, 2025 | 19.44 Mn |
| Mar 31, 2025 | 19.90 Mn |
| Dec 31, 2024 | 20.33 Mn |
| Sep 30, 2024 | 20.43 Mn |
| Jun 30, 2024 | 20.42 Mn |
| Mar 31, 2024 | 21.44 Mn |
| Dec 31, 2023 | 21.49 Mn |
| Sep 30, 2023 | 21.53 Mn |
| Jun 30, 2023 | 21.54 Mn |
| Mar 31, 2023 | 21.50 Mn |
| Dec 31, 2022 | 21.58 Mn |
| Sep 30, 2022 | 21.41 Mn |
| Jun 30, 2022 | 22.80 Mn |
| Mar 31, 2022 | 22.03 Mn |
| Dec 31, 2021 | 12.50 Mn |
| Sep 30, 2021 | 12.61 Mn |
Opko Health Amortization - Intangibles 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=amortization-intangibles&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();