Imunon (IMNN) Operating Expenses (2010 - 2026)
Imunon's Operating Expenses was $4.31 million in Q1 2026, up 3.9% from $4.15 million a year earlier and up 1.1% from the prior quarter.
Imunon (IMNN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Imunon's Operating Expenses was $14.81 million through Mar 31, 2026, down 18.9% year-over-year; for FY2025, it came in at $14.65 million, down 23.4% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $19.13 million in FY2024 (-9.0%), $21.03 million in FY2023 (-17.3%), $25.42 million in FY2022 (+18.2%) and $21.51 million in FY2021 (+13.3%).
- The Q1 2026 figure marks the highest quarterly Operating Expenses since Q3 2024.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 12.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 27.1%); the worst was Q2 2025 (a decline of 44.8%).
- Per Business Quant data, IMNN's Operating Expenses in the three quarters before Q1 2026 was $4.26 million (Q4 2025), $3.48 million (Q3 2025) and $2.77 million (Q2 2025).
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 | Imunon | 6.44 Mn | 6.44 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.31 Mn |
| Dec 31, 2025 | 4.26 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 2.77 Mn |
| Mar 31, 2025 | 4.15 Mn |
| Dec 31, 2024 | 4.15 Mn |
| Sep 30, 2024 | 4.96 Mn |
| Jun 30, 2024 | 5.01 Mn |
| Mar 31, 2024 | 5.01 Mn |
| Dec 31, 2023 | 5.97 Mn |
| Sep 30, 2023 | 3.90 Mn |
| Jun 30, 2023 | 5.47 Mn |
| Mar 31, 2023 | 5.68 Mn |
| Dec 31, 2022 | 7.05 Mn |
| Sep 30, 2022 | 6.30 Mn |
| Jun 30, 2022 | 6.10 Mn |
| Mar 31, 2022 | 5.97 Mn |
| Dec 31, 2021 | 5.62 Mn |
| Sep 30, 2021 | 5.19 Mn |
| Jun 30, 2021 | 5.20 Mn |
Imunon 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=IMNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMNN", "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=IMNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();