BioCorRx (BICX) Other Accumulated Expenses (2011 - 2026)
BioCorRx's Other Accumulated Expenses came in at $94,816 for Q1 2026.
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Analysis
BioCorRx (BICX) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2022, BioCorRx's Other Accumulated Expenses was $990,637.
- The Q1 2026 figure represents the highest quarterly Other Accumulated Expenses since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | BioCorRx | 830.00 | -906,148.00 | -56,997.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45,146.00 |
| Mar 31, 2026 | 94,816.00 |
| Dec 31, 2025 | 43,382.00 |
| Sep 30, 2025 | 15.04 Mn |
| Jun 30, 2025 | 41,686.00 |
| Mar 31, 2025 | 40,863.00 |
| Dec 31, 2024 | 40,057.00 |
| Sep 30, 2024 | 39,266.00 |
| Jun 30, 2024 | 38,491.00 |
| Mar 31, 2024 | 104,062.00 |
| Dec 31, 2023 | 122,732.00 |
| Sep 30, 2023 | 146,187.00 |
| Jun 30, 2023 | 142,160.00 |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 990,637.00 |
| Sep 30, 2022 | 130,559.00 |
| Jun 30, 2022 | 126,876.00 |
| Mar 31, 2022 | 123,269.00 |
| Dec 31, 2021 | 119,733.00 |
| Sep 30, 2021 | 116,276.00 |
API Access
BioCorRx Other 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=other-accumulated-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BICX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();