Chemomab Therapeutics (CMMB) Interest Expenses (2018 - 2023)
Chemomab Therapeutics' Interest Expenses was -$431,000 in Q4 2023, compared with -$380,000 a year earlier.
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Analysis
Chemomab Therapeutics (CMMB) Interest Expenses (2018 - 2023) Analysis & Trends
For FY2023, Interest Expenses at Chemomab Therapeutics came in at -$1.24 million.
- In earlier years, Interest Expenses was -$353,000 in FY2022, $111,000 in FY2021, $6,000 in FY2020 (-33.3%) and $9,000 in FY2019 (-99.4%).
- The Q4 2023 figure marks the lowest quarterly Interest Expenses since Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Chemomab Therapeutics | 8.56 Mn | 8.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -431,000.00 |
| Sep 30, 2023 | -231,000.00 |
| Jun 30, 2023 | -259,000.00 |
| Dec 31, 2022 | -380,000.00 |
| Sep 30, 2022 | -237,000.00 |
| Jun 30, 2022 | 480,000.00 |
| Sep 30, 2019 | 12.58 Mn |
| Jun 30, 2019 | -2.75 Mn |
| Dec 31, 2018 | -212,000.00 |
| Sep 30, 2018 | 72,000.00 |
| Jun 30, 2018 | 1.61 Mn |
API Access
Chemomab Therapeutics Interest 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=interest-expenses&ticker=CMMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CMMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();