Bioxytran (BIXT) Accumulated Expenses (2013 - 2026)
Bioxytran (BIXT) recorded Accumulated Expenses of $843,615 in Q2 2026, up 167.8% from the prior quarter.
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Analysis
Bioxytran (BIXT) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Bioxytran reported Accumulated Expenses of $577,500.
- Across earlier years, Accumulated Expenses came in at $223,759 in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,164.86 Bn | 1,133.45 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 632.18 Bn | 550.71 Bn | 17.26 Bn |
| 3 | AbbVie | 503.53 Bn | 476.64 Bn | 12.70 Bn |
| 4 | Merck | 378.03 Bn | 332.41 Bn | 12.21 Bn |
| 5 | Novartis Ag | 303.09 Bn | 267.08 Bn | 11.24 Bn |
| 6 | Astrazeneca | 266.38 Bn | 240.07 Bn | 12.86 Bn |
| 7 | Amgen | 241.24 Bn | 196.64 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.68 Bn | 167.88 Bn | 6.22 Bn |
| 9 | Pfizer | 172.22 Bn | 118.87 Bn | 10.94 Bn |
| 10 | Bioxytran | 2.73 Mn | 1.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 843,615.00 |
| Mar 31, 2026 | 404,443.00 |
| Dec 31, 2025 | 577,500.00 |
| Sep 30, 2025 | 275,140.00 |
| Jun 30, 2025 | 227,859.00 |
| Mar 31, 2025 | 182,482.00 |
| Dec 31, 2024 | 143,642.00 |
| Sep 30, 2024 | 126,286.00 |
| Dec 31, 2023 | 223,759.00 |
| Sep 30, 2023 | 185,967.00 |
| Jun 30, 2023 | 181,548.00 |
| Mar 31, 2023 | 149,377.00 |
| Dec 31, 2022 | 134,581.00 |
| Sep 30, 2022 | 113,210.00 |
| Jun 30, 2022 | 122,300.00 |
| Dec 31, 2021 | 85,685.00 |
| Jun 30, 2018 | 28,476.00 |
| Mar 31, 2018 | 26,526.00 |
| Dec 31, 2017 | 24,576.00 |
| Sep 30, 2017 | 32,626.00 |
API Access
Bioxytran Accumulated 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=accumulated-expenses&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();