Chemomab Therapeutics (CMMB) Total Liabilities (2011 - 2026)
Chemomab Therapeutics (CMMB) posted Total Liabilities of $1.55 million for Q2 2026, up 8.6% from $1.43 million a year earlier and up 39.5% from the prior quarter.
Chemomab Therapeutics (CMMB) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Chemomab Therapeutics' Total Liabilities came in at $1.48 million, down 56.9% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In prior years, Chemomab Therapeutics' Total Liabilities was $3.43 million in FY2024 (-33.5%), $5.15 million in FY2023 (-24.6%), $6.84 million in FY2022 (+136.9%) and $2.89 million in FY2021 (+72.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 42.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 190.2%; the weakest was Q3 2025, with a decline of 75.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.11 million (Q1 2026), $1.48 million (Q4 2025) and $1.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.80 Bn | 1,100.39 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 614.01 Bn | 532.53 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.59 Bn | 476.70 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.81 Bn | 261.80 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.50 Bn | 235.19 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.24 Bn | 191.64 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.15 Bn | 165.35 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.16 Bn | 116.81 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Chemomab Therapeutics | 7.65 Mn | -27.50 Mn | - | 1.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Mn |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 1.43 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 3.43 Mn |
| Sep 30, 2024 | 4.58 Mn |
| Jun 30, 2024 | 4.56 Mn |
| Mar 31, 2024 | 4.68 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 5.38 Mn |
| Jun 30, 2023 | 6.86 Mn |
| Mar 31, 2023 | 7.06 Mn |
| Dec 31, 2022 | 6.84 Mn |
| Sep 30, 2022 | 5.60 Mn |
| Jun 30, 2022 | 4.54 Mn |
| Mar 31, 2022 | 3.72 Mn |
| Dec 31, 2021 | 2.89 Mn |
| Sep 30, 2021 | 1.93 Mn |
Chemomab Therapeutics Total Liabilities 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=total-liabilities&ticker=CMMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CMMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();