Viking Therapeutics (VKTX) Notes Payables (2014 - 2018)
Viking Therapeutics (VKTX) reported Short-Term Borrowings of $3.72 million for Q1 2018, up 7.8% from the prior quarter.
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Analysis
Viking Therapeutics (VKTX) Notes Payables (2014 - 2018) Analysis & Trends
At the end of FY2017, Viking Therapeutics posted Short-Term Borrowings of $3.45 million, up 5.5% from FY2016.
- Short-Term Borrowings has a three-year compound annual growth rate of 124.7% (FY2014 to FY2017).
- By year, Short-Term Borrowings came in at $3.27 million in FY2016 and $304,274 in FY2014.
- The Q1 2018 figure ranks as the highest quarterly Short-Term Borrowings in data going back to Q4 2014.
- Per Business Quant data, the three quarters before Q1 2018 came in at $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) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Viking Therapeutics | 3.65 Bn | 884.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 3.45 Mn |
| Sep 30, 2018 | 3.45 Mn |
| Jun 30, 2018 | 3.45 Mn |
| Mar 31, 2018 | 3.72 Mn |
| Dec 31, 2017 | 3.45 Mn |
| Sep 30, 2017 | 3.18 Mn |
| Jun 30, 2017 | 3.05 Mn |
| Mar 31, 2017 | 3.27 Mn |
| Dec 31, 2016 | 3.27 Mn |
| Sep 30, 2016 | 2.83 Mn |
| Jun 30, 2016 | 2.38 Mn |
| Dec 31, 2015 | 304,274.00 |
| 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 Notes Payables 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=notes-payables&ticker=VKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();