United Therapeutics (UTHR) Long-Term Debt Repayments (2015 - 2016)
United Therapeutics' Long-Term Debt Repayments came in at $8.8 million for FY2016, down 93.4% from $133.2 million in FY2015.
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Analysis
United Therapeutics (UTHR) Long-Term Debt Repayments (2015 - 2016) Analysis & Trends
Going back to FY2010, United Therapeutics' Long-Term Debt Repayments data covers 7 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -48.8% (FY2011 to FY2016).
- The FY2016 figure represents the lowest annual Long-Term Debt Repayments since FY2013.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $133.2 million in FY2015 (-25.1%), $177.8 million in FY2014, $1.32 million in FY2013 (+32.1%) and $999,000 in FY2012 (-99.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | United Therapeutics | 24.02 Bn | 13.52 Bn | 683.80 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 |
API Access
United Therapeutics Long-Term Debt Repayments 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-repayments&ticker=UTHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=UTHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();