Bioxytran (BIXT) Shares Outstanding (Diluted) (2021 - 2026)
Bioxytran (BIXT) recorded Shares Outstanding (Diluted) of 114.36 million in Q2 2026, up 28.7% from 88.84 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Bioxytran (BIXT) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Bioxytran reported Shares Outstanding (Diluted) of 91.84 million, down 33.7% from FY2024.
- Annual Shares Outstanding (Diluted) has a four-year compound annual growth rate of -6.4% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 138.6 million in FY2024 (+3.3%), 134.22 million in FY2023 (+16.6%), 115.14 million in FY2022 (-3.9%) and 119.87 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in three of the last eight quarters, with an average decline of 13.4%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 37.1% in Q2 2024, against a decline of 49.7% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 112.28 million (Q1 2026), 91.84 million (Q4 2025) and 88.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 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 | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 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 | 255.20 Mn |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - | 114.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.36 Mn |
| Mar 31, 2026 | 112.28 Mn |
| Dec 31, 2025 | 91.84 Mn |
| Sep 30, 2025 | 88.99 Mn |
| Jun 30, 2025 | 88.84 Mn |
| Mar 31, 2025 | 88.84 Mn |
| Dec 31, 2024 | 138.60 Mn |
| Sep 30, 2024 | 126.39 Mn |
| Jun 30, 2024 | 176.61 Mn |
| Mar 31, 2024 | 162.81 Mn |
| Dec 31, 2023 | 134.22 Mn |
| Sep 30, 2023 | 136.44 Mn |
| Jun 30, 2023 | 128.80 Mn |
| Mar 31, 2023 | 123.50 Mn |
| Dec 31, 2022 | 115.14 Mn |
| Sep 30, 2022 | 116.39 Mn |
| Jun 30, 2022 | 110.84 Mn |
| Mar 31, 2022 | 110.84 Mn |
| Dec 31, 2021 | 119.87 Mn |
| Sep 30, 2021 | 119.87 Mn |
API Access
Bioxytran 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=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BIXT", "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=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();