Whitehawk Therapeutics (WHWK) Debt Ratio (2010 - 2020)
Whitehawk Therapeutics' Debt Ratio came in at 0.48 for Q4 2020.
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Analysis
Whitehawk Therapeutics (WHWK) Debt Ratio (2010 - 2020) Analysis & Trends
Going back to Q4 2010, Whitehawk Therapeutics' Debt Ratio data covers 25 quarters.
- Going back by year, Debt Ratio was 5.17 in FY2016 (-40.2%).
- The Q4 2020 figure represents the highest quarterly Debt Ratio in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Whitehawk Therapeutics | 311.65 Mn | 311.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 0.48 |
| Dec 31, 2016 | 5.17 |
| Sep 30, 2016 | 21.69 |
| Jun 30, 2016 | 8.38 |
| Mar 31, 2016 | 12.09 |
| Dec 31, 2015 | 8.64 |
| Sep 30, 2015 | 23.13 |
| Jun 30, 2015 | 14.36 |
| Mar 31, 2015 | 6.23 |
| Dec 31, 2014 | 23.75 |
| Sep 30, 2014 | 7.00 |
| Jun 30, 2014 | 24.08 |
| Mar 31, 2014 | 16.90 |
| Dec 31, 2013 | 12.52 |
| Sep 30, 2013 | 7.50 |
| Jun 30, 2013 | 5.97 |
| Mar 31, 2013 | 22.19 |
| Dec 31, 2012 | 10.48 |
| Sep 30, 2012 | 7.54 |
| Jun 30, 2012 | 5.46 |
API Access
Whitehawk Therapeutics Debt Ratio 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=debt-ratio&ticker=WHWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=WHWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();