Lexicon Pharmaceuticals (LXRX) Cash & Equivalents (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) recorded Cash & Equivalents of $40.92 million in Q2 2026, up 91.6% from $21.36 million a year earlier and up 7.4% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lexicon Pharmaceuticals reported Cash & Equivalents of $34.33 million, down 48.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -22.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $66.66 million in FY2024 (+196.7%), $22.47 million in FY2023 (-51.5%), $46.35 million in FY2022 (-27.7%) and $64.07 million in FY2021 (-49.3%).
- Quarterly Cash & Equivalents has ranged from $18.83 million in Q3 2022 to $102.27 million in Q2 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 29.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 376.8% in Q2 2023, against a decline of 79.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.09 million (Q1 2026), $34.33 million (Q4 2025) and $49.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Lexicon Pharmaceuticals | 813.30 Mn | 239.86 Mn | 653,000.00 | 40.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.92 Mn |
| Mar 31, 2026 | 38.09 Mn |
| Dec 31, 2025 | 34.33 Mn |
| Sep 30, 2025 | 49.66 Mn |
| Jun 30, 2025 | 21.36 Mn |
| Mar 31, 2025 | 62.89 Mn |
| Dec 31, 2024 | 66.66 Mn |
| Sep 30, 2024 | 34.55 Mn |
| Jun 30, 2024 | 35.62 Mn |
| Mar 31, 2024 | 96.49 Mn |
| Dec 31, 2023 | 22.47 Mn |
| Sep 30, 2023 | 21.12 Mn |
| Jun 30, 2023 | 102.27 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 31, 2022 | 46.35 Mn |
| Sep 30, 2022 | 18.83 Mn |
| Jun 30, 2022 | 21.45 Mn |
| Mar 31, 2022 | 59.52 Mn |
| Dec 31, 2021 | 64.07 Mn |
| Sep 30, 2021 | 92.12 Mn |
Lexicon Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();