Bioforce Nanosciences Holdings (BFNH) Net Long-Term Debt Issued (Repaid) (2020 - 2026)
Bioforce Nanosciences Holdings (BFNH) posted Non-Current Debt of $18,940 for Q2 2026, up 26.3% from $14,999 a year earlier.
Analysis
Bioforce Nanosciences Holdings (BFNH) Net Long-Term Debt Issued (Repaid) (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non-Current Debt at Bioforce Nanosciences Holdings was $60,564.
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 368.26 Bn | 319.82 Bn | 11.60 Bn | -747.00 Mn |
| 2 | Colgate Palmolive | 73.17 Bn | 67.89 Bn | 3.30 Bn | -4.00 Mn |
| 3 | Estee Lauder Companies | 39.63 Bn | 27.71 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.11 Bn | 32.73 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.07 Bn | 33.27 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.82 Bn | 23.35 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.62 Bn | 8.90 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.84 Bn | 5.81 Bn | 398.84 Mn | -7.50 Mn |
| 9 | Reynolds Consumer Products | 4.86 Bn | 4.52 Bn | 245.00 Mn | - |
| 10 | Bioforce Nanosciences Holdings | 230.45 Mn | 230.44 Mn | - | 18,940.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,940.00 |
| Mar 31, 2026 | -1,527.00 |
| Dec 31, 2025 | 10,923.00 |
| Sep 30, 2025 | 11,000.00 |
| Jun 30, 2025 | 14,999.00 |
| Mar 31, 2025 | 28,152.00 |
| Dec 31, 2024 | 14,062.00 |
| Sep 30, 2024 | 8,410.00 |
| Jun 30, 2024 | 13,344.00 |
| Mar 31, 2024 | 17,583.00 |
| Dec 31, 2023 | 7,038.00 |
| Sep 30, 2023 | 7,949.00 |
| Jun 30, 2023 | 8,613.00 |
| Mar 31, 2023 | 23,006.00 |
| Dec 31, 2022 | 9,415.00 |
| Sep 30, 2022 | 7,813.00 |
| Jun 30, 2022 | 7,749.00 |
| Mar 31, 2022 | 32,941.00 |
| Dec 31, 2021 | -7,157.00 |
| Sep 30, 2021 | 8,677.00 |
API Access
Bioforce Nanosciences Holdings 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=BFNH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "BFNH", "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=BFNH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();