Whitehawk Therapeutics (WHWK) Notes Payables (2009 - 2020)
Whitehawk Therapeutics' Short-Term Borrowings was $9.03 million in Q4 2020.
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Analysis
Whitehawk Therapeutics (WHWK) Notes Payables (2009 - 2020) Analysis & Trends
From Q4 2010 onward, Whitehawk Therapeutics has reported Short-Term Borrowings for 25 quarters.
- Short-Term Borrowings shows a five-year compound annual growth rate of 124.0% (FY2015 to FY2020).
- In earlier years, Short-Term Borrowings was $12.39 million in FY2016.
- The Q4 2020 figure marks the highest quarterly Short-Term Borrowings since Q4 2016.
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 | Whitehawk Therapeutics | 289.11 Mn | 119.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 9.03 Mn |
| Dec 31, 2016 | 12.39 Mn |
| Sep 30, 2016 | 170,000.00 |
| Jun 30, 2016 | 170,000.00 |
| Mar 31, 2016 | 160,000.00 |
| Dec 31, 2015 | 160,000.00 |
| Sep 30, 2015 | 145,000.00 |
| Jun 30, 2015 | 145,000.00 |
| Mar 31, 2015 | 145,000.00 |
| Dec 31, 2014 | 125,000.00 |
| Sep 30, 2014 | 125,000.00 |
| Jun 30, 2014 | 110,000.00 |
| Mar 31, 2014 | 110,000.00 |
| Dec 31, 2013 | 110,000.00 |
| Sep 30, 2013 | 110,000.00 |
| Jun 30, 2013 | 110,000.00 |
| Mar 31, 2013 | 85,000.00 |
| Dec 31, 2012 | 85,000.00 |
| Sep 30, 2012 | 85,000.00 |
| Jun 30, 2012 | 85,000.00 |
API Access
Whitehawk 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=WHWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "WHWK", "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=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();