CervoMed (CRVO) Non Operating Interest Expenses (2010 - 2017)
CervoMed's Non Operating Interest Expenses came in at $587.00 for FY2022.
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Analysis
CervoMed (CRVO) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
Going back to FY2010, CervoMed's Non Operating Interest Expenses data covers 8 years.
- The FY2022 figure represents the highest annual Non Operating Interest Expenses in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | - |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | CervoMed | 23.05 Mn | -62.97 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 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=CRVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=CRVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();