BioCorRx (BICX) Non-Current Debt (2010 - 2026)
BioCorRx (BICX) reported Non-Current Debt of -$28,000 for FY2015, compared with -$131,296 in FY2014.
Analysis
BioCorRx (BICX) Non-Current Debt (2010 - 2026) Analysis & Trends
Dating back to FY2012, BioCorRx's Non-Current Debt record includes 4 years.
- According to Business Quant data, Non-Current Debt came in at -$131,296 in FY2014, -$57,253 in FY2013 and -$47,077 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 60.50 Bn |
| 10 | BioCorRx | 4.32 Mn | 3.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 69,155.00 |
| Dec 31, 2025 | 69,537.00 |
| Sep 30, 2025 | 69,803.00 |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 500,000.00 |
| Dec 31, 2024 | 71,029.00 |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 146,426.00 |
| Mar 31, 2024 | 146,426.00 |
| Dec 31, 2023 | 606,750.00 |
| Sep 30, 2023 | 408,238.00 |
| Jun 30, 2023 | 359,729.00 |
| Mar 31, 2023 | 350,418.00 |
| Dec 31, 2022 | 297,602.00 |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 500,000.00 |
| Dec 31, 2021 | 221,480.00 |
| Dec 31, 2020 | 21,480.00 |
| Jun 30, 2020 | 290,110.00 |
API Access
BioCorRx Non-Current Debt 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-current-debt&ticker=BICX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();