Lexicon Pharmaceuticals (LXRX) Shares Outstanding (Entity) (2010 - 2026)
Lexicon Pharmaceuticals' Shares Outstanding (Entity) came in at 446.87 million for Q2 2026, up 23.0% from 363.4 million a year earlier and up 5.0% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Lexicon Pharmaceuticals' Shares Outstanding (Entity) was 365.85 million, up 0.8% from FY2024.
- Shares Outstanding (Entity) has increased in each of the last 15 years, with a five-year compound annual growth rate of 27.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 363.02 million in FY2024 (+47.4%), 246.24 million in FY2023 (+30.5%), 188.73 million in FY2022 (+25.7%) and 150.08 million in FY2021 (+35.4%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2010.
- Year-over-year, Shares Outstanding (Entity) has increased for 59 consecutive quarters, with growth averaging 23.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.5% (Q2 2025) to 63.7% (Q2 2023).
- Business Quant data shows LXRX's Shares Outstanding (Entity) at 425.71 million (Q1 2026), 365.85 million (Q4 2025) and 365.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 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 | 540.60 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.35 Mn |
| 10 | Lexicon Pharmaceuticals | 840.12 Mn | 266.67 Mn | 653,000.00 | 446.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 446.87 Mn |
| Mar 31, 2026 | 425.71 Mn |
| Dec 31, 2025 | 365.85 Mn |
| Sep 30, 2025 | 365.78 Mn |
| Jun 30, 2025 | 363.40 Mn |
| Mar 31, 2025 | 363.18 Mn |
| Dec 31, 2024 | 363.02 Mn |
| Sep 30, 2024 | 361.49 Mn |
| Jun 30, 2024 | 361.49 Mn |
| Mar 31, 2024 | 246.24 Mn |
| Dec 31, 2023 | 246.24 Mn |
| Sep 30, 2023 | 244.92 Mn |
| Jun 30, 2023 | 244.92 Mn |
| Mar 31, 2023 | 189.56 Mn |
| Dec 31, 2022 | 188.73 Mn |
| Sep 30, 2022 | 188.73 Mn |
| Jun 30, 2022 | 149.62 Mn |
| Mar 31, 2022 | 149.59 Mn |
| Dec 31, 2021 | 150.08 Mn |
| Sep 30, 2021 | 148.90 Mn |
Lexicon Pharmaceuticals Shares Outstanding (Entity) 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-entity&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();