Viking Therapeutics (VKTX) Debt Ratio (2014 - 2018)
Viking Therapeutics' Debt Ratio was 0.05 in Q1 2018, down 69.8% from the prior quarter.
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Analysis
Viking Therapeutics (VKTX) Debt Ratio (2014 - 2018) Analysis & Trends
For FY2017, Debt Ratio at Viking Therapeutics came in at 0.16, down 30.6% from FY2016.
- In earlier years, Debt Ratio was 0.22 in FY2016 and 0.10 in FY2014.
- The Q1 2018 figure marks the lowest quarterly Debt Ratio in data going back to Q4 2014.
- Compared with a year earlier, Debt Ratio was higher in four of the last five quarters, with growth averaging 46.8%.
- Per Business Quant data, VKTX's Debt Ratio in the three quarters before Q1 2018 was 0.16 (Q4 2017), 0.27 (Q3 2017) and 0.21 (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 0.24 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 0.31 |
| 10 | Viking Therapeutics | 3.07 Bn | 545.20 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 0.05 |
| Dec 31, 2017 | 0.16 |
| Sep 30, 2017 | 0.27 |
| Jun 30, 2017 | 0.21 |
| Dec 31, 2016 | 0.22 |
| Sep 30, 2016 | 0.17 |
| Jun 30, 2016 | 0.13 |
| Mar 31, 2016 | 0.20 |
| Dec 31, 2015 | 0.16 |
| Sep 30, 2015 | 0.10 |
| Jun 30, 2015 | 0.08 |
| Mar 31, 2015 | 0.11 |
| Dec 31, 2014 | 0.10 |
API Access
Viking Therapeutics Debt Ratio 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=debt-ratio&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "VKTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();