Opko Health (OPK) Selling, General & Administrative (2010 - 2026)
Opko Health (OPK) reported Selling, General & Administrative of $52.92 million for Q2 2026, down 11.2% from $59.6 million a year earlier but up 8.9% from the prior quarter.
Opko Health (OPK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opko Health's Selling, General & Administrative came in at $205.85 million, down 27.5% year-over-year; for FY2025, it was $223 million, down 26.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $304.22 million in FY2024 (+1.2%), $300.56 million in FY2023 (-19.4%), $372.67 million in FY2022 (-20.5%) and $468.86 million in FY2021 (+31.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $48.61 million in Q1 2026 and a high of $138.21 million in Q4 2021.
- Year over year, Selling, General & Administrative has now declined in each of the last seven quarters, with an average decline of 12.5% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2024 (growth of 35.9%); the low point was Q4 2022 (a decline of 46.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.61 million (Q1 2026), $50.52 million (Q4 2025) and $53.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Opko Health | 1.22 Bn | -210.40 Mn | 80.02 Mn | 52.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.92 Mn |
| Mar 31, 2026 | 48.61 Mn |
| Dec 31, 2025 | 50.52 Mn |
| Sep 30, 2025 | 53.80 Mn |
| Jun 30, 2025 | 59.60 Mn |
| Mar 31, 2025 | 59.09 Mn |
| Dec 31, 2024 | 67.03 Mn |
| Sep 30, 2024 | 98.20 Mn |
| Jun 30, 2024 | 68.82 Mn |
| Mar 31, 2024 | 70.17 Mn |
| Dec 31, 2023 | 72.88 Mn |
| Sep 30, 2023 | 72.24 Mn |
| Jun 30, 2023 | 79.79 Mn |
| Mar 31, 2023 | 75.64 Mn |
| Dec 31, 2022 | 74.00 Mn |
| Sep 30, 2022 | 79.67 Mn |
| Jun 30, 2022 | 101.46 Mn |
| Mar 31, 2022 | 117.54 Mn |
| Dec 31, 2021 | 138.21 Mn |
| Sep 30, 2021 | 105.12 Mn |
Opko Health Selling, General & Administrative 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=selling-general-and-administrative&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();