Opus Genetics (IRD) Return on Sales [ROS] (2010 - 2026)
Opus Genetics' Return on Sales [ROS] came in at -2182.78% for Q2 2026, down 1873.76 percentage points from -309.02% a year earlier and down 1516.86 percentage points from the prior quarter.
Opus Genetics (IRD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Opus Genetics reported Return on Sales [ROS] of -513.47%, down 92.79 percentage points year-over-year; for FY2025, it came in at -271.90%, up 292.82 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +3582.94 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -564.72% in FY2024 (-509.27 pp), -55.45% in FY2023 (-101.19 pp), 45.74% in FY2022 (+3900.58 pp) and -3854.84% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2022.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -243.50 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 4317.12 percentage points), and the weakest in Q4 2021 (a drop of 2118.49 percentage points).
- Business Quant data shows IRD's Return on Sales [ROS] at -665.92% (Q1 2026), -296.33% (Q4 2025) and -269.93% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Opus Genetics | 372.74 Mn | 148.02 Mn | - | -2,182.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,182.78% |
| Mar 31, 2026 | -665.92% |
| Dec 31, 2025 | -296.33% |
| Sep 30, 2025 | -269.93% |
| Jun 30, 2025 | -309.02% |
| Mar 31, 2025 | -227.21% |
| Dec 31, 2024 | -883.98% |
| Sep 30, 2024 | -207.11% |
| Jun 30, 2024 | -748.92% |
| Mar 31, 2024 | -450.50% |
| Dec 31, 2023 | -321.05% |
| Sep 30, 2023 | 53.51% |
| Jun 30, 2023 | -146.68% |
| Mar 31, 2023 | -350.54% |
| Dec 31, 2022 | 85.85% |
| Jun 30, 2022 | -4,463.80% |
| Mar 31, 2022 | -4,079.29% |
| Dec 31, 2021 | -3,854.84% |
| Sep 30, 2021 | -865.44% |
| Jun 30, 2021 | -7,137.00% |
Opus Genetics 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=IRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IRD", "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=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();