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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | BioCorRx | 4.32 Mn | 3.66 Mn | - |
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();