BioCorRx (BICX) Operating Expenses (2010 - 2026)
BioCorRx's Operating Expenses came in at $1,452 for Q2 2026, down 99.9% from $1.59 million a year earlier and down 99.9% from the prior quarter.
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Analysis
BioCorRx (BICX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BioCorRx reported Operating Expenses of $4.14 million, down 24.1% year-over-year; for FY2025, it was $5.63 million, up 9.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $5.13 million in FY2024 (+32.3%), $3.88 million in FY2023 (-21.1%), $4.91 million in FY2022 (-11.6%) and $5.56 million in FY2021 (-27.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q2 2013.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 3.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 70.8%), and the weakest in Q2 2026 (a decline of 99.9%).
- Business Quant data shows BICX's Operating Expenses at $1.17 million (Q1 2026), $383,067 (Q4 2025) and $2.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 6.68 Bn |
| 10 | BioCorRx | 4.32 Mn | 3.66 Mn | - | 1,452.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,452.00 |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 383,067.00 |
| Sep 30, 2025 | 2.58 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | 1.37 Mn |
| Mar 31, 2024 | 972,312.00 |
| Dec 31, 2023 | 841,650.00 |
| Sep 30, 2023 | 972,013.00 |
| Jun 30, 2023 | 966,536.00 |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Dec 31, 2021 | 1.35 Mn |
| Sep 30, 2021 | 1.64 Mn |
API Access
BioCorRx Operating 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=operating-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();