Lexicon Pharmaceuticals (LXRX) Non-Current Debt (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) reported Non-Current Debt of $49.96 million for FY2023, up 2.2% from $48.87 million in FY2022.
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Analysis
Lexicon Pharmaceuticals (LXRX) Non-Current Debt (2010 - 2026) Analysis & Trends
- According to Business Quant data, Non-Current Debt came in at $48.87 million in FY2022 and -$11.7 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Lexicon Pharmaceuticals | 849.05 Mn | 275.61 Mn | 653,000.00 | 51.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.44 Mn |
| Mar 31, 2026 | 49.68 Mn |
| Dec 31, 2025 | 49.41 Mn |
| Sep 30, 2025 | 56.51 Mn |
| Jun 30, 2025 | 56.11 Mn |
| Mar 31, 2025 | 58.64 Mn |
| Dec 31, 2024 | 100.30 Mn |
| Sep 30, 2024 | 99.90 Mn |
| Jun 30, 2024 | 99.50 Mn |
| Mar 31, 2024 | 99.90 Mn |
| Dec 31, 2023 | 99.51 Mn |
| Sep 30, 2023 | 99.27 Mn |
| Jun 30, 2023 | 98.77 Mn |
| Mar 31, 2023 | 48.85 Mn |
| Dec 31, 2022 | 48.58 Mn |
| Sep 30, 2022 | 23.78 Mn |
| Jun 30, 2022 | 23.63 Mn |
| Mar 31, 2022 | 23.48 Mn |
| Sep 30, 2020 | 11.63 Mn |
| Jun 30, 2020 | 234.81 Mn |
API Access
Lexicon Pharmaceuticals Non-Current Debt 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=non-current-debt&ticker=LXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();