Bioxytran (BIXT) Non Operating Interest Expenses (2010 - 2026)
Bioxytran (BIXT) reported Non Operating Interest Expenses of $36,126 for Q2 2026, up 20.0% from $30,112 a year earlier and up 1.1% from the prior quarter.
Bioxytran (BIXT) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bioxytran's Non Operating Interest Expenses came in at $144,900, up 45.8% year-over-year; for FY2025, it came in at $134,314, up 59.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -33.3% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $84,240 in FY2024 (-56.4%), $193,191 in FY2023 and $2.02 million in FY2021 (+99.1%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $17,845 in Q3 2024 and a high of $1.82 million in Q4 2021.
- Year over year, Non Operating Interest Expenses has now increased in each of the last six quarters, with growth averaging 48.3% over the last six quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2025 (growth of 104.7%); the low point was Q3 2021 (a decline of 62.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35,729 (Q1 2026), $36,523 (Q4 2025) and $36,522 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 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 | - | 36,126.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36,126.00 |
| Mar 31, 2026 | 35,729.00 |
| Dec 31, 2025 | 36,523.00 |
| Sep 30, 2025 | 36,522.00 |
| Jun 30, 2025 | 30,112.00 |
| Mar 31, 2025 | 31,157.00 |
| Dec 31, 2024 | 20,290.00 |
| Sep 30, 2024 | 17,845.00 |
| Jun 30, 2024 | 19,731.00 |
| Mar 31, 2024 | 26,374.00 |
| Mar 31, 2022 | 52,035.00 |
| Dec 31, 2021 | 1.82 Mn |
| Sep 30, 2021 | 32,475.00 |
| Jun 30, 2021 | 84,217.00 |
| Mar 31, 2021 | 87,410.00 |
| Dec 31, 2020 | 95,092.00 |
| Sep 30, 2020 | 86,593.00 |
| Jun 30, 2020 | 740,424.00 |
| Mar 31, 2020 | 107,730.00 |
| Dec 31, 2019 | 14,954.00 |
Bioxytran Non Operating Interest 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=non-operating-interest-expenses&ticker=BIXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();