Lexicon Pharmaceuticals (LXRX) Total Liabilities (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) recorded Total Liabilities of $75.54 million in Q2 2026, down 21.4% from $96.14 million a year earlier but up 14.5% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lexicon Pharmaceuticals reported Total Liabilities of $77.45 million, down 49.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $152.47 million in FY2024 (+11.8%), $136.32 million in FY2023 (+76.6%), $77.18 million in FY2022 (+231.0%) and $23.31 million in FY2021 (-50.8%).
- Quarterly Total Liabilities has ranged from $23.31 million in Q4 2021 to $174.64 million in Q1 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 18.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 231.0% in Q4 2022, against a decline of 62.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.96 million (Q1 2026), $77.45 million (Q4 2025) and $85.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Lexicon Pharmaceuticals | 849.05 Mn | 275.61 Mn | 653,000.00 | 75.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.54 Mn |
| Mar 31, 2026 | 65.96 Mn |
| Dec 31, 2025 | 77.45 Mn |
| Sep 30, 2025 | 85.77 Mn |
| Jun 30, 2025 | 96.14 Mn |
| Mar 31, 2025 | 174.64 Mn |
| Dec 31, 2024 | 152.47 Mn |
| Sep 30, 2024 | 142.61 Mn |
| Jun 30, 2024 | 133.38 Mn |
| Mar 31, 2024 | 128.35 Mn |
| Dec 31, 2023 | 136.32 Mn |
| Sep 30, 2023 | 136.97 Mn |
| Jun 30, 2023 | 130.36 Mn |
| Mar 31, 2023 | 74.67 Mn |
| Dec 31, 2022 | 77.18 Mn |
| Sep 30, 2022 | 47.67 Mn |
| Jun 30, 2022 | 41.50 Mn |
| Mar 31, 2022 | 43.48 Mn |
| Dec 31, 2021 | 23.31 Mn |
| Sep 30, 2021 | 35.73 Mn |
Lexicon Pharmaceuticals Total 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-liabilities&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LXRX", "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-liabilities&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();