Omeros (OMER) Return on Capital Employed [ROCE] (2011 - 2026)
Omeros (OMER) posted Return on Capital Employed [ROCE] of -38.02% for Q2 2026, up 64.79 percentage points from -102.81% a year earlier and up 4.69 percentage points from the prior quarter.
Omeros (OMER) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Omeros' Return on Capital Employed [ROCE] came in at -54.99%, up 12.29 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +73.34 percentage points (FY2020 to FY2025).
- In prior years, Omeros' Return on Capital Employed [ROCE] was -67.28% in FY2024 (-29.13 pp), -38.15% in FY2023 (+6.16 pp), -44.31% in FY2022 (+25.59 pp) and -69.90% in FY2021 (+58.43 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters, with an average year-over-year change of -8.90 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 133.76 percentage points; the weakest was Q3 2021, with a drop of 80.31 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -42.70% (Q1 2026), -69.14% (Q4 2025) and -113.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Omeros | 1.34 Bn | 1.34 Bn | 27.73 Mn | -38.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.02% |
| Mar 31, 2026 | -42.70% |
| Dec 31, 2025 | -69.14% |
| Sep 30, 2025 | -113.07% |
| Jun 30, 2025 | -102.81% |
| Mar 31, 2025 | -94.21% |
| Dec 31, 2024 | -77.41% |
| Sep 30, 2024 | -62.09% |
| Jun 30, 2024 | -55.16% |
| Mar 31, 2024 | -48.12% |
| Dec 31, 2023 | -43.03% |
| Sep 30, 2023 | -45.42% |
| Jun 30, 2023 | -41.85% |
| Mar 31, 2023 | -37.60% |
| Dec 31, 2022 | -42.12% |
| Sep 30, 2022 | -45.88% |
| Jun 30, 2022 | -48.66% |
| Mar 31, 2022 | -45.48% |
| Dec 31, 2021 | -79.07% |
| Sep 30, 2021 | -179.65% |
Omeros Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=OMER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OMER", "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-capital-employed-%5Broce%5D&ticker=OMER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();