United Therapeutics (UTHR) Net Long-Term Debt Issued (Repaid) (2014 - 2016)
United Therapeutics' Net Long-Term Debt Issued (Repaid) was -$8.8 million in FY2016, compared with -$133.2 million in FY2015.
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Analysis
United Therapeutics (UTHR) Net Long-Term Debt Issued (Repaid) (2014 - 2016) Analysis & Trends
From FY2010 onward, United Therapeutics has reported Net Long-Term Debt Issued (Repaid) for 7 years.
- The FY2016 figure marks the highest annual Net Long-Term Debt Issued (Repaid) since FY2013.
- Per Business Quant data, Net Long-Term Debt Issued (Repaid) in earlier years was -$133.2 million in FY2015, -$177.8 million in FY2014, -$1.32 million in FY2013 and -$999,000 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | United Therapeutics | 25.03 Bn | 15.22 Bn | 733.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -900,000.00 |
| Jun 30, 2016 | -7.80 Mn |
| Mar 31, 2016 | -100,000.00 |
| Dec 31, 2015 | -26.10 Mn |
| Sep 30, 2015 | -2.80 Mn |
| Jun 30, 2015 | -90.30 Mn |
| Mar 31, 2015 | -14.00 Mn |
| Dec 31, 2014 | -37.80 Mn |
API Access
United Therapeutics Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=UTHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "UTHR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=UTHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();