Lexicon Pharmaceuticals (LXRX) Shares Outstanding (2009 - 2026)
Lexicon Pharmaceuticals' Shares Outstanding came in at 437.65 million for Q2 2026, up 20.5% from 363.29 million a year earlier and up 9.3% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Lexicon Pharmaceuticals' Shares Outstanding was 363.05 million, up 13.4% from FY2024.
- Shares Outstanding has increased in each of the last 15 years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 320.03 million in FY2024 (+44.7%), 221.13 million in FY2023 (+33.4%), 165.73 million in FY2022 (+13.8%) and 145.65 million in FY2021 (+31.4%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q4 2010.
- Year-over-year, Shares Outstanding has increased for 59 consecutive quarters, with growth averaging 25.2% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.5% (Q3 2025) and 51.8% (Q2 2024) over the last five years.
- Business Quant data shows LXRX's Shares Outstanding at 400.24 million (Q1 2026), 363.05 million (Q4 2025) and 363.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Lexicon Pharmaceuticals | 831.26 Mn | 190.55 Mn | 11.17 Mn | 444.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 444.96 Mn |
| Jun 30, 2026 | 437.65 Mn |
| Mar 31, 2026 | 400.24 Mn |
| Dec 31, 2025 | 363.05 Mn |
| Sep 30, 2025 | 363.40 Mn |
| Jun 30, 2025 | 363.29 Mn |
| Mar 31, 2025 | 362.07 Mn |
| Dec 31, 2024 | 320.03 Mn |
| Sep 30, 2024 | 361.49 Mn |
| Jun 30, 2024 | 310.84 Mn |
| Mar 31, 2024 | 245.39 Mn |
| Dec 31, 2023 | 221.13 Mn |
| Sep 30, 2023 | 244.93 Mn |
| Jun 30, 2023 | 204.78 Mn |
| Mar 31, 2023 | 189.01 Mn |
| Dec 31, 2022 | 165.73 Mn |
| Sep 30, 2022 | 174.90 Mn |
| Jun 30, 2022 | 149.62 Mn |
| Mar 31, 2022 | 149.15 Mn |
| Dec 31, 2021 | 145.65 Mn |
Lexicon Pharmaceuticals Shares Outstanding 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=shares-outstanding&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();