Ligand Pharmaceuticals (LGND) Debt Ratio (2011 - 2026)
Ligand Pharmaceuticals' (LGND) Debt Ratio was 0.52 for Q2 2026, up 76.7% from the prior quarter.
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Analysis
Ligand Pharmaceuticals (LGND) Debt Ratio (2011 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Ligand Pharmaceuticals was 0.29.
- By year, Debt Ratio came in at 0.10 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Debt Ratio since Q4 2015.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.29 (Q1 2026), 0.29 (Q4 2025) and 0.30 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | Ligand Pharmaceuticals | 6.18 Bn | 2.65 Bn | - | 0.52 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.52 |
| Mar 31, 2026 | 0.29 |
| Dec 31, 2025 | 0.29 |
| Sep 30, 2025 | 0.30 |
| Mar 31, 2023 | 0.09 |
| Dec 31, 2022 | 0.10 |
| Sep 30, 2022 | 0.07 |
| Jun 30, 2022 | 0.11 |
| Jun 30, 2019 | 0.02 |
| Mar 31, 2019 | 0.01 |
| Dec 31, 2018 | 0.02 |
| Sep 30, 2018 | 0.10 |
| Jun 30, 2018 | 0.11 |
| Mar 31, 2018 | 0.30 |
| Dec 31, 2017 | 0.33 |
| Sep 30, 2017 | 0.33 |
| Jun 30, 2017 | 0.34 |
| Mar 31, 2017 | 0.34 |
| Dec 31, 2016 | 0.35 |
| Jun 30, 2016 | 0.34 |
API Access
Ligand Pharmaceuticals Debt Ratio 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=debt-ratio&ticker=LGND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();