Madrigal Pharmaceuticals (MDGL) Long-Term Debt Issuances (2015 - 2023)
Madrigal Pharmaceuticals (MDGL) recorded Long-Term Debt Issuances of $350 million in FY2025.
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Analysis
Madrigal Pharmaceuticals (MDGL) Long-Term Debt Issuances (2015 - 2023) Analysis & Trends
Starting with FY2010, Madrigal Pharmaceuticals' Long-Term Debt Issuances history includes 8 years.
- Annual Long-Term Debt Issuances has a three-year compound annual growth rate of 91.3% (FY2022 to FY2025).
- The FY2025 figure is the highest annual Long-Term Debt Issuances in data going back to FY2010.
- Per Business Quant data, MDGL's Long-Term Debt Issuances was $65 million in FY2023 (+30.0%) and $50 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 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 | 1.98 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 | Madrigal Pharmaceuticals | 13.33 Bn | 9.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 15.00 Mn |
| Mar 31, 2023 | 35.00 Mn |
| Jun 30, 2022 | 50.00 Mn |
| Mar 31, 2016 | 750,000.00 |
| Dec 31, 2015 | 1.35 Mn |
API Access
Madrigal Pharmaceuticals Long-Term Debt Issuances 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-issuances&ticker=MDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=MDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();