Opko Health (OPK) Return on Sales [ROS] (2010 - 2026)
Opko Health (OPK) reported Return on Sales [ROS] of -4.26% for Q2 2026, up 33.99 percentage points from -38.25% a year earlier and up 36.82 percentage points from the prior quarter.
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Analysis
Opko Health (OPK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Opko Health's Return on Sales [ROS] came in at -8.21%, up 26.05 percentage points year-over-year; for FY2025, it came in at -19.35%, up 1.98 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -23.37 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -21.32% in FY2024 (-3.14 pp), -18.18% in FY2023 (+4.35 pp), -22.53% in FY2022 (-23.59 pp) and 1.06% in FY2021 (-2.96 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -48.86% in Q3 2022 and a high of 31.68% in Q3 2025.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +13.69 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 70.37 percentage points); the low point was Q3 2022 (a drop of 58.66 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -41.08% (Q1 2026), -25.81% (Q4 2025) and 31.68% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,158.11 Bn | 1,126.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 636.97 Bn | 556.83 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 501.44 Bn | 474.55 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 357.35 Bn | 311.73 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 301.15 Bn | 265.14 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.27 Bn | 238.95 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.93 Bn | 194.33 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.19 Bn | 168.38 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 172.28 Bn | 118.93 Bn | 10.94 Bn | 28.37% |
| 10 | Opko Health | 1.22 Bn | -210.93 Mn | 80.02 Mn | -4.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.26% |
| Mar 31, 2026 | -41.08% |
| Dec 31, 2025 | -25.81% |
| Sep 30, 2025 | 31.68% |
| Jun 30, 2025 | -38.25% |
| Mar 31, 2025 | -44.79% |
| Dec 31, 2024 | -18.05% |
| Sep 30, 2024 | -38.68% |
| Jun 30, 2024 | -33.85% |
| Mar 31, 2024 | -41.15% |
| Dec 31, 2023 | -37.96% |
| Sep 30, 2023 | -36.06% |
| Jun 30, 2023 | 2.65% |
| Mar 31, 2023 | -12.88% |
| Dec 31, 2022 | -29.82% |
| Sep 30, 2022 | -48.86% |
| Jun 30, 2022 | -3.47% |
| Mar 31, 2022 | -22.00% |
| Dec 31, 2021 | -15.72% |
| Sep 30, 2021 | 9.80% |
API Access
Opko Health Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OPK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();