Omeros (OMER) Operating Expenses (2010 - 2026)
Omeros (OMER) posted Operating Expenses of $28.46 million for Q2 2026, down 12.1% from $32.35 million a year earlier but up 4.2% from the prior quarter.
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Analysis
Omeros (OMER) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Omeros was $111.24 million, down 18.3% year-over-year; for FY2025, it came in at $122.8 million, down 26.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In prior years, Omeros' Operating Expenses was $166.95 million in FY2024 (+1.5%), $164.53 million in FY2023 (+0.7%), $163.39 million in FY2022 (-5.9%) and $173.62 million in FY2021 (+10.6%).
- Quarterly Operating Expenses has run from a low of $26.39 million in Q3 2025 to a high of $59.16 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last eight quarters, with an average decline of 21.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 44.6%; the weakest was Q2 2025, with a decline of 45.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $27.31 million (Q1 2026), $29.08 million (Q4 2025) and $26.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Omeros | 1.40 Bn | 1.40 Bn | 27.73 Mn | 28.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.46 Mn |
| Mar 31, 2026 | 27.31 Mn |
| Dec 31, 2025 | 29.08 Mn |
| Sep 30, 2025 | 26.39 Mn |
| Jun 30, 2025 | 32.35 Mn |
| Mar 31, 2025 | 34.97 Mn |
| Dec 31, 2024 | 33.36 Mn |
| Sep 30, 2024 | 35.41 Mn |
| Jun 30, 2024 | 59.16 Mn |
| Mar 31, 2024 | 39.03 Mn |
| Dec 31, 2023 | 39.77 Mn |
| Sep 30, 2023 | 48.15 Mn |
| Jun 30, 2023 | 40.90 Mn |
| Mar 31, 2023 | 35.71 Mn |
| Dec 31, 2022 | 40.14 Mn |
| Sep 30, 2022 | 50.77 Mn |
| Jun 30, 2022 | 37.44 Mn |
| Mar 31, 2022 | 35.05 Mn |
| Dec 31, 2021 | 42.89 Mn |
| Sep 30, 2021 | 39.83 Mn |
API Access
Omeros Operating Expenses 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=operating-expenses&ticker=OMER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OMER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();