Lexicon Pharmaceuticals (LXRX) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) reported Non-Current Debt of $49.96 million for FY2023, up 2.2% from $48.87 million in FY2022.
Analysis
Lexicon Pharmaceuticals (LXRX) Net Long-Term Debt Issued (Repaid) (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) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Lexicon Pharmaceuticals | 860.99 Mn | 220.29 Mn | 11.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -54.26 Mn |
| Mar 31, 2026 | -5.00 Mn |
| Dec 31, 2025 | -3.00 Mn |
| Jun 30, 2025 | -45.00 Mn |
| Dec 31, 2023 | -1,000.00 |
| Sep 30, 2023 | 1,000.00 |
| Jun 30, 2023 | 49.96 Mn |
| Dec 31, 2022 | 24.97 Mn |
| Sep 30, 2022 | -249,000.00 |
| Mar 31, 2022 | 24.15 Mn |
| Dec 31, 2021 | -11.70 Mn |
| Dec 31, 2020 | -5.82 Mn |
| Sep 30, 2020 | -210.12 Mn |
| Jun 30, 2020 | -322,000.00 |
| Mar 31, 2020 | -321,000.00 |
| Dec 31, 2019 | -322,000.00 |
| Sep 30, 2019 | -320,000.00 |
| Jun 30, 2019 | -322,000.00 |
| Mar 31, 2019 | -321,000.00 |
| Dec 31, 2018 | -321,000.00 |
API Access
Lexicon Pharmaceuticals Net Long-Term Debt Issued (Repaid) 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_KEY
import 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();