Lexicon Pharmaceuticals (LXRX) Other Operating Expenses (2010 - 2026)
Lexicon Pharmaceuticals (LXRX) posted Other Operating Expenses of $2.61 million for Q2 2026, up 12.6% from $2.32 million a year earlier and up 64.1% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Lexicon Pharmaceuticals was $8.39 million, down 33.3% year-over-year; for FY2025, it came in at $8.34 million, down 46.5% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In prior years, Lexicon Pharmaceuticals' Other Operating Expenses was $15.58 million in FY2024 (+18.9%), $13.1 million in FY2023 (+371.3%), $2.78 million in FY2022 (+246.6%) and $802,000 in FY2021 (-77.3%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2024.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 21.4%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2024, with growth of 171.7%; the weakest was Q1 2025, with a decline of 62.9%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $1.59 million (Q1 2026), $2.03 million (Q4 2025) and $2.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Lexicon Pharmaceuticals | 840.12 Mn | 266.67 Mn | 653,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.61 Mn |
| Mar 31, 2026 | 1.59 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.16 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Sep 30, 2024 | 4.56 Mn |
| Jun 30, 2024 | 2.21 Mn |
| Mar 31, 2024 | 4.95 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Sep 30, 2023 | 3.90 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Sep 30, 2020 | 633,000.00 |
| Jun 30, 2020 | 2.33 Mn |
| Mar 31, 2020 | 568,000.00 |
| Dec 31, 2019 | 774,000.00 |
| Sep 30, 2019 | 29.22 Mn |
| Jun 30, 2019 | 1.33 Mn |
Lexicon Pharmaceuticals Other Operating Expenses 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=other-operating-expenses&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();