Omeros (OMER) Selling, General & Administrative (2010 - 2026)
Omeros' Selling, General & Administrative was $13.86 million in Q2 2026, up 34.0% from $10.35 million a year earlier and up 3.7% from the prior quarter.
Omeros (OMER) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Omeros' Selling, General & Administrative was $47.26 million through Jun 30, 2026, up 10.4% year-over-year; for FY2025, it was $41.5 million, down 12.5% from FY2024.
- Selling, General & Administrative has now declined for four consecutive years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $47.43 million in FY2024 (-4.5%), $49.66 million in FY2023 (-2.0%), $50.67 million in FY2022 (-7.6%) and $54.84 million in FY2021 (+11.2%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q3 2023.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 3.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2023 (growth of 34.6%); the worst was Q3 2024 (a decline of 31.0%).
- Per Business Quant data, OMER's Selling, General & Administrative in the three quarters before Q2 2026 was $13.37 million (Q1 2026), $9.64 million (Q4 2025) and $10.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Omeros | 1.34 Bn | 1.34 Bn | 27.73 Mn | 13.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.86 Mn |
| Mar 31, 2026 | 13.37 Mn |
| Dec 31, 2025 | 9.64 Mn |
| Sep 30, 2025 | 10.40 Mn |
| Jun 30, 2025 | 10.35 Mn |
| Mar 31, 2025 | 11.12 Mn |
| Dec 31, 2024 | 10.04 Mn |
| Sep 30, 2024 | 11.32 Mn |
| Jun 30, 2024 | 13.81 Mn |
| Mar 31, 2024 | 12.26 Mn |
| Dec 31, 2023 | 10.88 Mn |
| Sep 30, 2023 | 16.42 Mn |
| Jun 30, 2023 | 11.26 Mn |
| Mar 31, 2023 | 11.10 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 13.92 Mn |
| Mar 31, 2022 | 10.96 Mn |
| Dec 31, 2021 | 12.56 Mn |
| Sep 30, 2021 | 14.01 Mn |
Omeros Selling, General & Administrative 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=selling-general-and-administrative&ticker=OMER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=OMER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();