Whitehawk Therapeutics (WHWK) Long-Term Debt Issuances (2009 - 2017)
Whitehawk Therapeutics' Long-Term Debt Issuances was $1 million in FY2020.
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Analysis
Whitehawk Therapeutics (WHWK) Long-Term Debt Issuances (2009 - 2017) Analysis & Trends
From FY2010 onward, Whitehawk Therapeutics has reported Long-Term Debt Issuances for 8 years.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of 95.5% (FY2015 to FY2020).
- The FY2020 figure marks the highest annual Long-Term Debt Issuances since FY2016.
- Per Business Quant data, Long-Term Debt Issuances in earlier years was $297,354 in FY2017 (-97.6%) and $12.54 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (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 | 9.98 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 |
|---|---|
| Mar 31, 2017 | 297,354.00 |
| Dec 31, 2016 | 3.47 Mn |
| Sep 30, 2016 | 4.54 Mn |
| Dec 31, 2015 | 15,000.00 |
| Mar 31, 2015 | 20,000.00 |
| Sep 30, 2014 | -105,000.00 |
| Mar 31, 2014 | 120,000.00 |
| Jun 30, 2013 | 25,000.00 |
| Mar 31, 2012 | 25,000.00 |
| Dec 31, 2010 | 25,000.00 |
| Jun 30, 2010 | -25,000.00 |
| Mar 31, 2010 | 35,000.00 |
| Jun 30, 2009 | 15,000.00 |
| Mar 31, 2009 | 10,000.00 |
API Access
Whitehawk 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=WHWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();