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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 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 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 843,615.00 |
| Mar 31, 2026 | 315,000.00 |
| Dec 31, 2025 | 577,500.00 |
| Sep 30, 2024 | 126,286.00 |
| Dec 31, 2023 | 223,759.00 |
| Jun 30, 2018 | 28,476.00 |
| Mar 31, 2018 | 26,526.00 |
| Dec 31, 2017 | 24,576.00 |
| Sep 30, 2017 | 32,626.00 |
| Jun 30, 2017 | 30,676.00 |
| Mar 31, 2017 | 28,725.00 |
| Dec 31, 2016 | 26,776.00 |
| Sep 30, 2016 | 31,826.00 |
| Jun 30, 2016 | 29,876.00 |
| Mar 31, 2016 | 27,926.00 |
| Dec 31, 2015 | 25,976.00 |
| Sep 30, 2015 | 19,003.00 |
| Jun 30, 2015 | 27,044.00 |
| Mar 31, 2015 | 25,099.00 |
| Dec 31, 2014 | 23,176.00 |
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();