Bioxytran (BIXT) Income from Non-Controlling Interests (2021 - 2024)
Bioxytran's Income from Non-Controlling Interests came in at -$13,324 for FY2024, compared with -$90,258 in FY2023.
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Analysis
Bioxytran (BIXT) Income from Non-Controlling Interests (2021 - 2024) Analysis & Trends
Going back to FY2020, Bioxytran's Income from Non-Controlling Interests data covers 5 years.
- The FY2024 figure represents the highest annual Income from Non-Controlling Interests in data going back to FY2020.
- Per Business Quant, earlier years put Income from Non-Controlling Interests at -$90,258 in FY2023, -$193,372 in FY2022, -$496,297 in FY2021 and -$61,909 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -2.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -7.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.00 Mn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | - |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 10.00 Mn |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -13,324.00 |
| Dec 31, 2023 | -21,823.00 |
| Sep 30, 2023 | -34,777.00 |
| Jun 30, 2023 | -764.00 |
| Mar 31, 2023 | -32,894.00 |
| Dec 31, 2022 | -51,058.00 |
| Sep 30, 2022 | -79,507.00 |
| Jun 30, 2022 | -11,691.00 |
| Mar 31, 2022 | -51,116.00 |
| Dec 31, 2021 | 39,782.00 |
| Sep 30, 2021 | -134,530.00 |
| Jun 30, 2021 | -246,935.00 |
| Mar 31, 2021 | -154,614.00 |
API Access
Bioxytran Income from Non-Controlling Interests 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=income-from-non-controlling-interests&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();