Ligand Pharmaceuticals (LGND) Non-Current Debt (2011 - 2026)
Ligand Pharmaceuticals' Non-Current Debt came in at $1.13 billion for Q2 2026, up 152.1% from the prior quarter.
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Analysis
Ligand Pharmaceuticals (LGND) Non-Current Debt (2011 - 2026) Analysis & Trends
At the end of FY2025, Ligand Pharmaceuticals' Non-Current Debt was $446.19 million.
- The Q2 2026 figure represents the highest quarterly Non-Current Debt in data going back to Q2 2011.
- Business Quant data shows LGND's Non-Current Debt at $446.9 million (Q1 2026), $446.19 million (Q4 2025) and $445.49 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Ligand Pharmaceuticals | 6.26 Bn | 2.72 Bn | - | 1.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 446.90 Mn |
| Dec 31, 2025 | 446.19 Mn |
| Sep 30, 2025 | 445.49 Mn |
| Dec 31, 2015 | 205.37 Mn |
| Dec 31, 2014 | 195.91 Mn |
| Jun 30, 2013 | 1.97 Mn |
| Mar 31, 2013 | 5.49 Mn |
| Dec 31, 2012 | 13.44 Mn |
| Sep 30, 2012 | 17.88 Mn |
| Mar 31, 2012 | 26.44 Mn |
| Dec 31, 2011 | 20.29 Mn |
| Sep 30, 2011 | 20.20 Mn |
| Jun 30, 2011 | 20.11 Mn |
API Access
Ligand Pharmaceuticals Non-Current Debt 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=LGND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "LGND", "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=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();