BioCorRx (BICX) Accumulated Expenses (2015 - 2026)
BioCorRx (BICX) recorded Accumulated Expenses of $530,375 in Q2 2026.
Analysis
BioCorRx (BICX) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, BioCorRx reported Accumulated Expenses of $495,530.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 388.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $983.00 in FY2021 (+449.2%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q1 2015.
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 | 530,375.00 |
| Dec 31, 2025 | 495,530.00 |
| Jun 30, 2022 | 1,652.00 |
| Mar 31, 2022 | 1,292.00 |
| Dec 31, 2021 | 983.00 |
| Jun 30, 2021 | 299.00 |
| Dec 31, 2020 | 179.00 |
| Sep 30, 2020 | 107.00 |
| Jun 30, 2020 | 36.00 |
| Mar 31, 2017 | 220,000.00 |
| Mar 31, 2015 | 1,052.00 |
API Access
BioCorRx 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=BICX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();