Ligand Pharmaceuticals (LGND) Total Current Liabilities (2010 - 2026)
Ligand Pharmaceuticals (LGND) reported Total Current Liabilities of $46.74 million for Q2 2026, down 27.8% from $64.73 million a year earlier but up 14.9% from the prior quarter.
Ligand Pharmaceuticals (LGND) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ligand Pharmaceuticals posted Total Current Liabilities of $37.45 million, up 0.9% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $37.11 million in FY2024 (+121.1%), $16.78 million in FY2023 (-83.0%), $98.81 million in FY2022 (+137.2%) and $41.67 million in FY2021 (-58.4%).
- Five-year quarterly Total Current Liabilities spans a low of $15.73 million in Q3 2023 and a high of $167.85 million in Q2 2022.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with growth averaging 77.8%.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2022 (growth of 272.6%); the low point was Q3 2023 (a decline of 88.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.67 million (Q1 2026), $37.45 million (Q4 2025) and $30.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Ligand Pharmaceuticals | 6.15 Bn | 2.61 Bn | - | 46.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.74 Mn |
| Mar 31, 2026 | 40.67 Mn |
| Dec 31, 2025 | 37.45 Mn |
| Sep 30, 2025 | 30.54 Mn |
| Jun 30, 2025 | 64.73 Mn |
| Mar 31, 2025 | 58.68 Mn |
| Dec 31, 2024 | 37.11 Mn |
| Sep 30, 2024 | 24.77 Mn |
| Jun 30, 2024 | 18.57 Mn |
| Mar 31, 2024 | 17.82 Mn |
| Dec 31, 2023 | 16.78 Mn |
| Sep 30, 2023 | 15.73 Mn |
| Jun 30, 2023 | 29.39 Mn |
| Mar 31, 2023 | 98.93 Mn |
| Dec 31, 2022 | 98.81 Mn |
| Sep 30, 2022 | 135.24 Mn |
| Jun 30, 2022 | 167.85 Mn |
| Mar 31, 2022 | 42.58 Mn |
| Dec 31, 2021 | 41.67 Mn |
| Sep 30, 2021 | 36.30 Mn |
Ligand Pharmaceuticals Total 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-current-liabilities&ticker=LGND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LGND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();