Ligand Pharmaceuticals (LGND) Long-Term Debt Repayments (2010 - 2026)
Ligand Pharmaceuticals (LGND) posted Long-Term Debt Repayments of $7,000 for Q2 2026, unchanged from $7,000 a year earlier and unchanged from the prior quarter.
Ligand Pharmaceuticals (LGND) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Ligand Pharmaceuticals was $27,000, down 10.0% year-over-year; for FY2025, it was $27,000, up 8.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -83.5% (FY2020 to FY2025).
- In prior years, Ligand Pharmaceuticals' Long-Term Debt Repayments was $25,000 in FY2024 (-100.0%), $76.85 million in FY2023 (-70.5%), $260.95 million in FY2022 (+67.5%) and $155.76 million in FY2021 (-29.9%).
- Quarterly Long-Term Debt Repayments has run from a low of $4,000 in Q2 2024 to a high of $163.36 million in Q1 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last six quarters, with growth averaging 15.3%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2025, with growth of 75.0%; the weakest was Q2 2024, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $7,000 (Q1 2026), $7,000 (Q4 2025) and $6,000 (Q3 2025).
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 | Ligand Pharmaceuticals | 6.33 Bn | 2.80 Bn | - | 7,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | 7,000.00 |
| Dec 31, 2025 | 7,000.00 |
| Sep 30, 2025 | 6,000.00 |
| Jun 30, 2025 | 7,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 6,000.00 |
| Sep 30, 2024 | 10,000.00 |
| Jun 30, 2024 | 4,000.00 |
| Mar 31, 2024 | 5,000.00 |
| Dec 31, 2023 | 5,000.00 |
| Sep 30, 2023 | 14,000.00 |
| Jun 30, 2023 | 76.87 Mn |
| Mar 31, 2023 | 13,000.00 |
| Dec 31, 2022 | 54,000.00 |
| Sep 30, 2022 | 37.65 Mn |
| Jun 30, 2022 | 59.93 Mn |
| Mar 31, 2022 | 163.37 Mn |
| Sep 30, 2021 | 2.38 Mn |
| Jun 30, 2021 | 49.95 Mn |
Ligand 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=LGND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();