Bioxytran (BIXT) Total Liabilities (2010 - 2026)
Bioxytran (BIXT) posted Total Liabilities of $5.27 million for Q2 2026, up 89.5% from $2.78 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Bioxytran (BIXT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Bioxytran's Total Liabilities came in at $3.25 million, up 68.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In prior years, Bioxytran's Total Liabilities was $1.93 million in FY2024 (-40.5%), $3.24 million in FY2023 (-11.6%), $3.67 million in FY2022 (+11.9%) and $3.28 million in FY2021 (+44.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 71.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 154.9%; the weakest was Q1 2024, with a decline of 74.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.01 million (Q1 2026), $3.25 million (Q4 2025) and $3.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - | 5.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.27 Mn |
| Mar 31, 2026 | 5.01 Mn |
| Dec 31, 2025 | 3.25 Mn |
| Sep 30, 2025 | 3.06 Mn |
| Jun 30, 2025 | 2.78 Mn |
| Mar 31, 2025 | 2.84 Mn |
| Dec 31, 2024 | 1.93 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.23 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 2.81 Mn |
| Mar 31, 2023 | 4.29 Mn |
| Dec 31, 2022 | 3.67 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 5.33 Mn |
| Mar 31, 2022 | 4.89 Mn |
| Dec 31, 2021 | 3.28 Mn |
| Sep 30, 2021 | 2.68 Mn |
API Access
Bioxytran Total Liabilities 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=total-liabilities&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();