United Therapeutics (UTHR) Short-Term Debt repayments (2014 - 2025)
United Therapeutics' Short-Term Debt repayments came in at $500 million for FY2025, up 25.0% from $400 million in FY2024.
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Analysis
United Therapeutics (UTHR) Short-Term Debt repayments (2014 - 2025) Analysis & Trends
Going back to FY2018, United Therapeutics' Short-Term Debt repayments data covers 7 years.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 58.5% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Short-Term Debt repayments since FY2022.
- Per Business Quant, earlier years put Short-Term Debt repayments at $400 million in FY2024 (+300.0%), $100 million in FY2023 (-87.5%) and $800 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 6.45 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | - |
| 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 |
|---|---|
| Jun 30, 2025 | 400.00 Mn |
| Mar 31, 2025 | 100.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 100.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 100.00 Mn |
| Mar 31, 2022 | 800.00 Mn |
| Mar 31, 2020 | 50.00 Mn |
| Dec 31, 2019 | 150.00 Mn |
| Sep 30, 2019 | 50.00 Mn |
| Sep 30, 2014 | 95.00 Mn |
API Access
United Therapeutics Short-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=short-term-debt-repayments&ticker=UTHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=UTHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();