BioCorRx (BICX) Non Operating Interest Expenses (2011 - 2026)
BioCorRx's Non Operating Interest Expenses was $31,041 in Q1 2026, down 64.5% from $87,483 a year earlier and down 55.7% from the prior quarter.
BioCorRx (BICX) Non Operating Interest Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, BioCorRx's Non Operating Interest Expenses was $331,167 through Mar 31, 2026, down 51.5% year-over-year; for FY2025, it came in at $223,850, down 71.2% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $776,780 in FY2024 (+300.3%), $194,041 in FY2023 (+28.5%), $150,969 in FY2022 (+677.2%) and $19,424 in FY2021 (-96.2%).
- The Q1 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q2 2023.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last seven quarters, with growth averaging 15.3%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2024 (growth of 598.2%); the worst was Q2 2021 (a decline of 99.3%).
- Per Business Quant data, BICX's Non Operating Interest Expenses in the three quarters before Q1 2026 was $70,009 (Q4 2025), $193,431 (Q3 2025) and $36,686 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 217.00 Mn |
| 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 | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | BioCorRx | 830.00 | -906,148.00 | -56,997.00 | -138,597.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -138,597.00 |
| Mar 31, 2026 | 31,041.00 |
| Dec 31, 2025 | 70,009.00 |
| Sep 30, 2025 | 193,431.00 |
| Jun 30, 2025 | 36,686.00 |
| Mar 31, 2025 | 87,483.00 |
| Dec 31, 2024 | 128,054.00 |
| Sep 30, 2024 | 148,999.00 |
| Jun 30, 2024 | 317,907.00 |
| Mar 31, 2024 | 181,820.00 |
| Dec 31, 2023 | 103,629.00 |
| Sep 30, 2023 | 36,883.00 |
| Jun 30, 2023 | 27,489.00 |
| Mar 31, 2023 | 26,040.00 |
| Dec 31, 2022 | 23,743.00 |
| Sep 30, 2022 | 13,624.00 |
| Jun 30, 2022 | 100,326.00 |
| Mar 31, 2022 | 13,276.00 |
| Dec 31, 2021 | 13,599.00 |
| Sep 30, 2021 | 4,325.00 |
BioCorRx Non Operating Interest 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=non-operating-interest-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();