BioCorRx (BICX) Long-Term Debt Repayments (2012 - 2026)
BioCorRx (BICX) recorded Long-Term Debt Repayments of $5,000 in Q1 2026, down 28.6% from $7,000 a year earlier and down 99.0% from the prior quarter.
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Analysis
BioCorRx (BICX) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a TTM basis, BioCorRx's Long-Term Debt Repayments came in at $523,700 as of Mar 31, 2026; for FY2025, it came in at $525,700.
- Across earlier years, Long-Term Debt Repayments came in at $11,000 in FY2024 (-68.6%) and $35,000 in FY2023.
- The Q1 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | - |
| 10 | BioCorRx | 3.63 Mn | 2.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5,000.00 |
| Dec 31, 2025 | 668,700.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 2,000.00 |
| Sep 30, 2024 | 9,000.00 |
| Dec 31, 2019 | 1.35 Mn |
| Sep 30, 2019 | -400,000.00 |
| Jun 30, 2017 | 15,000.00 |
| Mar 31, 2017 | 172,748.00 |
| Sep 30, 2016 | 352,912.00 |
| Jun 30, 2016 | 88,000.00 |
| Mar 31, 2016 | 123,500.00 |
| Sep 30, 2015 | 82,500.00 |
| Mar 31, 2015 | 5,419.00 |
| Dec 31, 2014 | 95,214.00 |
| Sep 30, 2014 | 10,464.00 |
| Mar 31, 2014 | 35,000.00 |
| Dec 31, 2013 | 87,140.00 |
| Mar 31, 2012 | -12,996.00 |
API Access
BioCorRx Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BICX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BICX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();