Madrigal Pharmaceuticals (MDGL) Long-Term Debt Repayments (2010 - 2016)
Madrigal Pharmaceuticals' Long-Term Debt Repayments was $121.66 million in FY2025.
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Analysis
Madrigal Pharmaceuticals (MDGL) Long-Term Debt Repayments (2010 - 2016) Analysis & Trends
From FY2009 onward, Madrigal Pharmaceuticals has reported Long-Term Debt Repayments for 8 years.
- The FY2025 figure marks the highest annual Long-Term Debt Repayments in data going back to FY2009.
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 | Madrigal Pharmaceuticals | 13.33 Bn | 9.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 2.30 Mn |
| Mar 31, 2016 | 2.32 Mn |
| Dec 31, 2015 | 2.32 Mn |
| Sep 30, 2015 | 2.32 Mn |
| Jun 30, 2015 | 2.31 Mn |
| Mar 31, 2015 | 2.31 Mn |
| Dec 31, 2014 | 2.31 Mn |
| Sep 30, 2014 | 2.31 Mn |
| Jun 30, 2014 | 2.37 Mn |
| Mar 31, 2014 | 2.50 Mn |
| Dec 31, 2013 | 237,000.00 |
| Sep 30, 2013 | 222,000.00 |
| Jun 30, 2013 | 196,000.00 |
| Mar 31, 2013 | 1.98 Mn |
| Dec 31, 2012 | 1.97 Mn |
| Sep 30, 2012 | 1.97 Mn |
| Jun 30, 2012 | 157,000.00 |
| Mar 31, 2012 | 154,000.00 |
| Dec 31, 2011 | 156,000.00 |
| Sep 30, 2011 | 155,000.00 |
API Access
Madrigal Pharmaceuticals 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=MDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MDGL", "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=MDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();