Cel Sci (CVM) Operating Expenses (2010 - 2026)
Cel Sci's Operating Expenses was $5.56 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.2% from $5.49 million a year earlier and up 4.3% from the prior quarter.
Cel Sci (CVM) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cel Sci's Operating Expenses was $22.29 million through Jun 30, 2026, down 10.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $24.81 million, down 5.9% from FY2024.
- Operating Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $26.35 million in FY2024 (-16.3%), $31.48 million in FY2023 (-12.7%), $36.06 million in FY2022 (-0.4%) and $36.19 million in FY2021 (+22.5%).
- Quarterly Operating Expenses has moved between $5.33 million (fiscal Q2 2026) and $9.55 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with an average decline of 9.8%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2022 (growth of 11.9%); the worst was fiscal Q1 2026 (a decline of 22.1%).
- Per Business Quant data, CVM's Operating Expenses in the three fiscal quarters before Q3 2026 was $5.33 million (Q2 2026), $5.37 million (Q1 2026) and $6.03 million (Q4 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 | Cel Sci | 3.11 Mn | -22.54 Mn | - | 5.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.56 Mn |
| Mar 31, 2026 | 5.33 Mn |
| Dec 31, 2025 | 5.37 Mn |
| Sep 30, 2025 | 6.03 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 6.39 Mn |
| Dec 31, 2024 | 6.89 Mn |
| Sep 30, 2024 | 6.12 Mn |
| Jun 30, 2024 | 6.67 Mn |
| Mar 31, 2024 | 7.08 Mn |
| Dec 31, 2023 | 6.49 Mn |
| Sep 30, 2023 | 7.47 Mn |
| Jun 30, 2023 | 8.18 Mn |
| Mar 31, 2023 | 8.18 Mn |
| Dec 31, 2022 | 7.65 Mn |
| Sep 30, 2022 | 8.95 Mn |
| Jun 30, 2022 | 8.72 Mn |
| Mar 31, 2022 | 9.55 Mn |
| Dec 31, 2021 | 8.84 Mn |
| Sep 30, 2021 | 8.47 Mn |
Cel Sci 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=CVM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVM", "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=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();