CervoMed (CRVO) Times Interest Earned (2010 - 2017)
CervoMed's Times Interest Earned came in at -5920.84 for FY2022.
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Analysis
CervoMed (CRVO) Times Interest Earned (2010 - 2017) Analysis & Trends
Going back to FY2010, CervoMed's Times Interest Earned data covers 8 years.
- The FY2022 figure represents the highest annual Times Interest Earned in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | CervoMed | 30.43 Mn | 30.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -157.83 |
| Mar 31, 2017 | -46.08 |
| Dec 31, 2016 | -88.16 |
| Sep 30, 2016 | -4,208.98 |
| Jun 30, 2016 | -611.32 |
| Mar 31, 2016 | -296,340.19 |
| Dec 31, 2015 | -16.81 |
| Sep 30, 2015 | -17.68 |
| Jun 30, 2015 | -38.93 |
| Mar 31, 2015 | -23.47 |
| Dec 31, 2014 | -985.56 |
| Sep 30, 2014 | -40.52 |
| Jun 30, 2014 | -13.19 |
| Mar 31, 2014 | -23.53 |
| Dec 31, 2013 | -17.12 |
| Sep 30, 2013 | -124.51 |
| Jun 30, 2013 | -230.79 |
| Mar 31, 2013 | -91.10 |
| Dec 31, 2012 | -13.11 |
| Sep 30, 2012 | -19.91 |
API Access
CervoMed Times Interest Earned 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=times-interest-earned&ticker=CRVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=CRVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();