Viking Therapeutics (VKTX) Total Debt (2014 - 2018)
Viking Therapeutics (VKTX) posted Total Debt of $3.72 million for Q1 2018, up 7.8% from the prior quarter.
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Analysis
Viking Therapeutics (VKTX) Total Debt (2014 - 2018) Analysis & Trends
At the end of FY2017, Viking Therapeutics' Total Debt came in at $3.45 million, up 5.5% from FY2016.
- Annual Total Debt shows a three-year compound annual growth rate of 124.7% (FY2014 to FY2017).
- In prior years, Viking Therapeutics' Total Debt was $3.27 million in FY2016 and $304,274 in FY2014.
- The Q1 2018 figure stands as the highest quarterly Total Debt in data going back to Q4 2014.
- According to Business Quant data, Total Debt for the three prior quarters was $3.45 million (Q4 2017), $3.18 million (Q3 2017) and $3.05 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.76 Bn | 1,104.34 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 619.07 Bn | 537.60 Bn | 17.26 Bn | 49.04 Bn |
| 3 | AbbVie | 503.11 Bn | 476.22 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 370.23 Bn | 324.61 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 298.76 Bn | 262.75 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 261.14 Bn | 234.83 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 237.54 Bn | 192.94 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 191.65 Bn | 165.84 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 170.26 Bn | 116.90 Bn | 10.94 Bn | 63.19 Bn |
| 10 | Viking Therapeutics | 3.08 Bn | 556.83 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 3.72 Mn |
| Dec 31, 2017 | 3.45 Mn |
| Sep 30, 2017 | 3.18 Mn |
| Jun 30, 2017 | 3.05 Mn |
| Dec 31, 2016 | 3.27 Mn |
| Sep 30, 2016 | 2.83 Mn |
| Jun 30, 2016 | 2.38 Mn |
| Mar 31, 2016 | 2.50 Mn |
| Dec 31, 2015 | 2.50 Mn |
| Sep 30, 2015 | 1.91 Mn |
| Jun 30, 2015 | 1.67 Mn |
| Mar 31, 2015 | 310,350.00 |
| Dec 31, 2014 | 304,274.00 |
API Access
Viking Therapeutics Total Debt 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=total-debt&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();