Ligand Pharmaceuticals (LGND) Total Non-Current Liabilities (2010 - 2026)
Ligand Pharmaceuticals' Total Non-Current Liabilities was $1.2 billion in Q2 2026, compared with $106.92 million a year earlier and up 132.0% from the prior quarter.
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Analysis
Ligand Pharmaceuticals (LGND) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ligand Pharmaceuticals came in at $526.8 million, up 549.0% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $81.17 million in FY2024 (+38.6%), $58.55 million in FY2023 (-57.4%), $137.43 million in FY2022 (-69.8%) and $454.68 million in FY2021 (-26.9%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2018.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 549.0%); the worst was Q3 2023 (a decline of 72.8%).
- Per Business Quant data, LGND's Total Non-Current Liabilities in the three quarters before Q2 2026 was $517.67 million (Q1 2026), $526.8 million (Q4 2025) and $506.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ligand Pharmaceuticals | 6.22 Bn | 2.69 Bn | - | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | 517.67 Mn |
| Dec 31, 2025 | 526.80 Mn |
| Sep 30, 2025 | 506.69 Mn |
| Jun 30, 2025 | 106.92 Mn |
| Mar 31, 2025 | 95.59 Mn |
| Dec 31, 2024 | 81.17 Mn |
| Sep 30, 2024 | 83.81 Mn |
| Jun 30, 2024 | 61.86 Mn |
| Mar 31, 2024 | 79.57 Mn |
| Dec 31, 2023 | 58.55 Mn |
| Sep 30, 2023 | 57.66 Mn |
| Jun 30, 2023 | 71.55 Mn |
| Mar 31, 2023 | 142.90 Mn |
| Dec 31, 2022 | 137.43 Mn |
| Sep 30, 2022 | 212.36 Mn |
| Jun 30, 2022 | 252.00 Mn |
| Mar 31, 2022 | 282.80 Mn |
| Dec 31, 2021 | 454.68 Mn |
| Sep 30, 2021 | 434.46 Mn |
API Access
Ligand Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LGND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();