CervoMed (CRVO) Interest Expenses (2009 - 2017)
CervoMed (CRVO) reported Interest Expenses of $587.00 for FY2022.
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Analysis
CervoMed (CRVO) Interest Expenses (2009 - 2017) Analysis & Trends
Dating back to FY2010, CervoMed's Interest Expenses record includes 8 years.
- The FY2022 figure ranks as the highest annual Interest Expenses in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | CervoMed | 20.73 Mn | -57.60 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 18,889.00 |
| Mar 31, 2017 | 55,719.00 |
| Dec 31, 2016 | 28,832.00 |
| Sep 30, 2016 | 1,378.00 |
| Jun 30, 2016 | 6,216.00 |
| Mar 31, 2016 | 21.00 |
| Dec 31, 2015 | 152,802.00 |
| Sep 30, 2015 | 76,170.00 |
| Jun 30, 2015 | 33,337.00 |
| Mar 31, 2015 | 50,810.00 |
| Dec 31, 2014 | -8,045.00 |
| Sep 30, 2014 | 86,670.00 |
| Jun 30, 2014 | 136,584.00 |
| Mar 31, 2014 | 58,294.00 |
| Dec 31, 2013 | 55,061.00 |
| Sep 30, 2013 | 13,365.00 |
| Jun 30, 2013 | 35,084.00 |
| Mar 31, 2013 | -22,971.00 |
| Dec 31, 2012 | 272,325.00 |
| Sep 30, 2012 | 172,057.00 |
API Access
CervoMed 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=CRVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CRVO", "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=CRVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();