Omeros (OMER) Non Operating Interest Expenses (2009 - 2026)
Omeros' Non Operating Interest Expenses came in at $7.59 million for Q2 2026, compared with $15,000 a year earlier and up 28.7% from the prior quarter.
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Analysis
Omeros (OMER) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Omeros reported Non Operating Interest Expenses of $8.85 million, down 18.8% year-over-year; for FY2025, it came in at -$960,000.
- Going back by year, Non Operating Interest Expenses was $24.68 million in FY2024 (-20.0%), $30.84 million in FY2023 (+35.9%), $22.7 million in FY2022 (+15.4%) and $19.67 million in FY2021 (-26.5%).
- The five-year range for quarterly Non Operating Interest Expenses is -$13.36 million (Q3 2025) to $9.22 million (Q2 2024).
- Year-over-year, Non Operating Interest Expenses increased in two of the last six quarters, with an average decline of 3.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2025 (growth of 174.7%), and the weakest in Q2 2025 (a decline of 99.8%).
- Business Quant data shows OMER's Non Operating Interest Expenses at $5.89 million (Q1 2026), $8.73 million (Q4 2025) and -$13.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Omeros | 234.42 Mn | -206.99 Mn | 27.73 Mn | 7.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.59 Mn |
| Mar 31, 2026 | 5.89 Mn |
| Dec 31, 2025 | 8.73 Mn |
| Sep 30, 2025 | -13.36 Mn |
| Jun 30, 2025 | 15,000.00 |
| Mar 31, 2025 | 3.65 Mn |
| Dec 31, 2024 | 3.18 Mn |
| Sep 30, 2024 | 4.05 Mn |
| Jun 30, 2024 | 9.22 Mn |
| Mar 31, 2024 | 8.23 Mn |
| Dec 31, 2023 | 7.06 Mn |
| Sep 30, 2023 | 7.92 Mn |
| Jun 30, 2023 | 7.93 Mn |
| Mar 31, 2023 | 7.93 Mn |
| Dec 31, 2022 | 7.90 Mn |
| Sep 30, 2022 | 4.93 Mn |
| Jun 30, 2022 | 4.93 Mn |
| Mar 31, 2022 | 4.94 Mn |
| Dec 31, 2021 | 4.95 Mn |
| Sep 30, 2021 | 4.91 Mn |
API Access
Omeros Non Operating Interest 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=non-operating-interest-expenses&ticker=OMER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=OMER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();