Opko Health (OPK) Cost of Revenue (2010 - 2026)
Opko Health (OPK) recorded Cost of Revenue of $83.56 million in Q2 2026, down 22.2% from $107.41 million a year earlier but up 6.5% from the prior quarter.
Opko Health (OPK) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Opko Health's Cost of Revenue came in at $348.21 million as of Jun 30, 2026, down 22.1% year-over-year; for FY2025, it was $400.94 million, down 18.9% from FY2024.
- Annual Cost of Revenue has declined for four straight years, with a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $494.63 million in FY2024 (-9.3%), $545.37 million in FY2023 (-23.8%), $715.98 million in FY2022 (-35.0%) and $1.1 billion in FY2021 (+33.8%).
- Quarterly Cost of Revenue has ranged from $78.44 million in Q1 2026 to $243.96 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for seven consecutive quarters, with an average decline of 18.7% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 6.1% in Q4 2023, against a decline of 43.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $78.44 million (Q1 2026), $84.43 million (Q4 2025) and $101.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Opko Health | 1.22 Bn | -210.40 Mn | 80.02 Mn | 83.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.56 Mn |
| Mar 31, 2026 | 78.44 Mn |
| Dec 31, 2025 | 84.43 Mn |
| Sep 30, 2025 | 101.78 Mn |
| Jun 30, 2025 | 107.41 Mn |
| Mar 31, 2025 | 107.33 Mn |
| Dec 31, 2024 | 98.98 Mn |
| Sep 30, 2024 | 133.50 Mn |
| Jun 30, 2024 | 130.53 Mn |
| Mar 31, 2024 | 131.62 Mn |
| Dec 31, 2023 | 137.20 Mn |
| Sep 30, 2023 | 130.92 Mn |
| Jun 30, 2023 | 138.94 Mn |
| Mar 31, 2023 | 138.31 Mn |
| Dec 31, 2022 | 129.35 Mn |
| Sep 30, 2022 | 148.45 Mn |
| Jun 30, 2022 | 194.31 Mn |
| Mar 31, 2022 | 243.88 Mn |
| Dec 31, 2021 | 201.80 Mn |
| Sep 30, 2021 | 243.96 Mn |
Opko Health Cost of Revenue 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=cost-of-revenue&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();