Viking Therapeutics (VKTX) Long-Term Debt Issuances (2014 - 2017)
Viking Therapeutics' (VKTX) quarterly Long-Term Debt Issuances came in at $200000.0 in Q3 2017, up 100.0% quarter-over-quarter from $100000.0 in Q2 2017.
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Analysis
Viking Therapeutics (VKTX) Long-Term Debt Issuances (2014 - 2017) Analysis & Trends
Viking Therapeutics has disclosed Long-Term Debt Issuances across 2 years of filings, most recently posting $200000.0 for Q3 2017.
- In Q3 2017, Long-Term Debt Issuances changed N/A year-over-year to $200000.0; the TTM figure through Sep 2017 stood at $1.5 million (changed N/A YoY), while the FY2016 annual figure was $300000.0, changed N/A from the prior year.
- Long-Term Debt Issuances came in at $200000.0 for Q3 2017 at Viking Therapeutics, up from $100000.0 in the prior quarter.
- In the past five years, Long-Term Debt Issuances ranged from a high of $750000.0 in Q3 2014 to a low of $100000.0 in Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | - |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | - |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | 1.98 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | - |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | 1.32 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | - |
| 10 | Viking Therapeutics | 4.86 Bn | 4.86 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 200,000.00 |
| Jun 30, 2017 | 100,000.00 |
| Dec 31, 2014 | 500,000.00 |
| Sep 30, 2014 | 750,000.00 |
API Access
Viking Therapeutics Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();