Lexicon Pharmaceuticals (LXRX) Total Current Liabilities (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) recorded Total Current Liabilities of $14.71 million in Q2 2026, down 57.8% from $34.84 million a year earlier but up 48.6% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lexicon Pharmaceuticals reported Total Current Liabilities of $20.87 million, down 53.9% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -14.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $45.25 million in FY2024 (+43.4%), $31.55 million in FY2023 (+36.1%), $23.17 million in FY2022 (+4.7%) and $22.12 million in FY2021 (-52.7%).
- Quarterly Total Current Liabilities has ranged from $9.9 million in Q1 2026 to $110.69 million in Q1 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for four consecutive quarters, with growth averaging 26.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 373.1% in Q1 2025, against a decline of 91.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.9 million (Q1 2026), $20.87 million (Q4 2025) and $21.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Lexicon Pharmaceuticals | 860.99 Mn | 220.29 Mn | 11.17 Mn | 17.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.77 Mn |
| Jun 30, 2026 | 14.71 Mn |
| Mar 31, 2026 | 9.90 Mn |
| Dec 31, 2025 | 20.87 Mn |
| Sep 30, 2025 | 21.72 Mn |
| Jun 30, 2025 | 34.84 Mn |
| Mar 31, 2025 | 110.69 Mn |
| Dec 31, 2024 | 45.25 Mn |
| Sep 30, 2024 | 36.05 Mn |
| Jun 30, 2024 | 27.88 Mn |
| Mar 31, 2024 | 23.40 Mn |
| Dec 31, 2023 | 31.55 Mn |
| Sep 30, 2023 | 32.26 Mn |
| Jun 30, 2023 | 26.11 Mn |
| Mar 31, 2023 | 20.37 Mn |
| Dec 31, 2022 | 23.17 Mn |
| Sep 30, 2022 | 18.45 Mn |
| Jun 30, 2022 | 16.86 Mn |
| Mar 31, 2022 | 18.91 Mn |
| Dec 31, 2021 | 22.12 Mn |
Lexicon 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=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();