Lexicon Pharmaceuticals (LXRX) Shares Outstanding (Diluted) (2015 - 2026)
Lexicon Pharmaceuticals' Shares Outstanding (Diluted) came in at 437.65 million for Q2 2026, up 20.4% from 363.57 million a year earlier and up 9.3% from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Lexicon Pharmaceuticals' Shares Outstanding (Diluted) was 363.05 million, up 13.4% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) 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 (Diluted) in data going back to Q1 2015.
- Year-over-year, Shares Outstanding (Diluted) has increased for 20 consecutive quarters, with growth averaging 25.2% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) 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 (Diluted) 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Lexicon Pharmaceuticals | 813.30 Mn | 239.86 Mn | 653,000.00 | 437.65 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 | 363.57 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 | 145.65 Mn |
| Mar 31, 2022 | 145.65 Mn |
| Dec 31, 2021 | 145.65 Mn |
| Sep 30, 2021 | 145.82 Mn |
Lexicon Pharmaceuticals Shares Outstanding (Diluted) 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-diluted&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();