Cel Sci (CVM) Non Operating Interest Expenses (2010 - 2016)
Cel Sci's Non Operating Interest Expenses came in at $745,673 for FY2024 (year ended Sep 30, 2024), up 10.4% from $675,416 in FY2023.
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Analysis
Cel Sci (CVM) Non Operating Interest Expenses (2010 - 2016) Analysis & Trends
Going back to FY2009, Cel Sci's Non Operating Interest Expenses data covers 10 fiscal years.
- Per Business Quant, earlier fiscal years put Non Operating Interest Expenses at $675,416 in FY2023 (-37.5%) and $1.08 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | Cel Sci | 3.69 Mn | -21.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 469,151.00 |
| Dec 31, 2015 | 483,693.00 |
| Sep 30, 2015 | 5,103.00 |
| Jun 30, 2015 | 41,595.00 |
| Mar 31, 2015 | 41,628.00 |
| Dec 31, 2014 | 41,659.00 |
| Sep 30, 2014 | 41,691.00 |
| Jun 30, 2014 | 41,722.00 |
| Mar 31, 2014 | 37,679.00 |
| Dec 31, 2013 | 42,682.00 |
| Sep 30, 2013 | 42,620.00 |
| Jun 30, 2013 | 42,763.00 |
| Mar 31, 2013 | 42,763.00 |
| Dec 31, 2012 | 41,402.00 |
| Sep 30, 2012 | 41,402.00 |
| Jun 30, 2012 | 41,402.00 |
| Mar 31, 2012 | 55,948.00 |
| Dec 31, 2011 | 123,462.00 |
| Sep 30, 2011 | 173,938.00 |
| Jun 30, 2011 | 66,238.00 |
API Access
Cel Sci Non Operating 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=non-operating-interest-expenses&ticker=CVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();