BioCorRx (BICX) Net Long-Term Debt Issued (Repaid) (2011 - 2026)
BioCorRx (BICX) reported Non-Current Debt of -$28,000 for FY2015, compared with -$131,296 in FY2014.
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Analysis
BioCorRx (BICX) Net Long-Term Debt Issued (Repaid) (2011 - 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) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | BioCorRx | 3.46 Mn | 2.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 80,904.00 |
| Dec 31, 2025 | -463,700.00 |
| Sep 30, 2025 | 95,000.00 |
| Jun 30, 2025 | 214,600.00 |
| Mar 31, 2025 | 626,100.00 |
| Dec 31, 2024 | 335,477.00 |
| Sep 30, 2024 | 349,629.00 |
| Jun 30, 2024 | 59,516.00 |
| Mar 31, 2024 | 375,880.00 |
| Dec 31, 2023 | 428,000.00 |
| Sep 30, 2023 | 310,000.00 |
| Jun 30, 2023 | 505.00 |
| Mar 31, 2023 | 232,768.00 |
| Dec 31, 2022 | 455,000.00 |
| Sep 30, 2022 | 320,000.00 |
| Dec 31, 2019 | -1.35 Mn |
| Sep 30, 2019 | 400,000.00 |
| Dec 31, 2018 | 500,000.00 |
| Mar 31, 2018 | 250,000.00 |
| Jun 30, 2017 | -15,000.00 |
API Access
BioCorRx Net Long-Term Debt Issued (Repaid) 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_KEYimport 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();