Whitehawk Therapeutics (WHWK) Long-Term Debt Issuances (2010 - 2017)
Whitehawk Therapeutics' Long-Term Debt Issuances was $297,354 in FY2017, down 97.6% from $12.54 million in FY2016.
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Analysis
Whitehawk Therapeutics (WHWK) Long-Term Debt Issuances (2010 - 2017) Analysis & Trends
From FY2010 onward, Whitehawk Therapeutics has reported Long-Term Debt Issuances for 7 years.
- Long-Term Debt Issuances shows a five-year compound annual growth rate of 64.1% (FY2012 to FY2017).
- Annual Long-Term Debt Issuances has moved between $15,000 (FY2014) and $12.54 million (FY2016) over five years.
- Per Business Quant data, Long-Term Debt Issuances in earlier years was $12.54 million in FY2016, $35,000 in FY2015 (+133.3%), $15,000 in FY2014 (-40.0%) and $25,000 in FY2013 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.98 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | - |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Whitehawk Therapeutics | 311.65 Mn | 311.65 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 |
| Jun 30, 2013 | 25,000.00 |
| Mar 31, 2012 | 25,000.00 |
| Dec 31, 2010 | 25,000.00 |
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();