Chemomab Therapeutics (CMMB) EBITDA (2018 - 2023)
Chemomab Therapeutics (CMMB) reported EBITDA of $9.07 million for FY2025, down 35.2% from $14 million in FY2024.
Analysis
Chemomab Therapeutics (CMMB) EBITDA (2018 - 2023) Analysis & Trends
Dating back to FY2016, Chemomab Therapeutics' EBITDA record includes 9 years.
- EBITDA has declined for three consecutive years, with a four-year compound annual growth rate of -7.9% (FY2021 to FY2025).
- The FY2025 figure ranks as the lowest annual EBITDA since FY2018.
- According to Business Quant data, EBITDA came in at $14 million in FY2024 (-39.3%), $23.05 million in FY2023 (-17.3%), $27.89 million in FY2022 (+120.9%) and $12.62 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Chemomab Therapeutics | 11.80 Mn | 11.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 3.92 Mn |
| Jun 30, 2023 | 7.69 Mn |
| Mar 31, 2023 | 8.75 Mn |
| Dec 31, 2022 | 7.90 Mn |
| Sep 30, 2022 | 7.86 Mn |
| Jun 30, 2022 | 7.23 Mn |
| Mar 31, 2022 | -5.09 Mn |
| Dec 31, 2021 | 19.93 Mn |
| Sep 30, 2021 | -2.96 Mn |
| Jun 30, 2021 | -2.76 Mn |
| Dec 31, 2019 | -8.99 Mn |
| Sep 30, 2019 | 3.93 Mn |
| Jun 30, 2019 | 4.46 Mn |
| Mar 31, 2019 | 5.46 Mn |
| Dec 31, 2018 | 3.00 Mn |
| Sep 30, 2018 | 2.52 Mn |
API Access
Chemomab Therapeutics EBITDA 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=ebitda&ticker=CMMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CMMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();