Chemomab Therapeutics (CMMB) Operating Expenses (2017 - 2026)
Chemomab Therapeutics' Operating Expenses was $2.24 million in Q2 2026, down 0.9% from $2.26 million a year earlier but up 21.1% from the prior quarter.
Chemomab Therapeutics (CMMB) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chemomab Therapeutics' Operating Expenses was $7.91 million through Jun 30, 2026, down 37.6% year-over-year; for FY2025, it came in at $9.57 million, down 35.1% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $14.74 million in FY2024 (-42.1%), $25.46 million in FY2023 (-10.8%), $28.53 million in FY2022 (+130.7%) and $12.37 million in FY2021 (+107.1%).
- Quarterly Operating Expenses has moved between $1.84 million (Q3 2025) and $9.05 million (Q1 2023) over five years.
- Compared with a year earlier, Operating Expenses has declined for 12 straight quarters, with an average decline of 27.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 213.1%); the worst was Q4 2023 (a decline of 55.5%).
- Per Business Quant data, CMMB's Operating Expenses in the three quarters before Q2 2026 was $1.85 million (Q1 2026), $1.97 million (Q4 2025) and $1.84 million (Q3 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 | Chemomab Therapeutics | 11.80 Mn | 11.80 Mn | - | 2.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 1.85 Mn |
| Dec 31, 2025 | 1.97 Mn |
| Sep 30, 2025 | 1.84 Mn |
| Jun 30, 2025 | 2.26 Mn |
| Mar 31, 2025 | 3.49 Mn |
| Dec 31, 2024 | 3.21 Mn |
| Sep 30, 2024 | 3.71 Mn |
| Jun 30, 2024 | 3.77 Mn |
| Mar 31, 2024 | 4.05 Mn |
| Dec 31, 2023 | 3.85 Mn |
| Sep 30, 2023 | 4.37 Mn |
| Jun 30, 2023 | 8.20 Mn |
| Mar 31, 2023 | 9.05 Mn |
| Dec 31, 2022 | 8.64 Mn |
| Sep 30, 2022 | 8.32 Mn |
| Jun 30, 2022 | 6.25 Mn |
| Mar 31, 2022 | 5.32 Mn |
| Dec 31, 2021 | 5.02 Mn |
| Sep 30, 2021 | 2.89 Mn |
Chemomab Therapeutics 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=CMMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CMMB", "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=CMMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();