Niagen Bioscience (NAGE) Net Long-Term Debt Issued (Repaid) (2011 - 2025)
Niagen Bioscience (NAGE) reported Non-Current Debt of $3.35 million for Q4 2015.
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Analysis
Niagen Bioscience (NAGE) Net Long-Term Debt Issued (Repaid) (2011 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | -747.00 Mn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | -1.00 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | -1.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | - |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | -7.50 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | - |
| 10 | Niagen Bioscience | 173.34 Mn | -94.25 Mn | 17.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2,000.00 |
| Sep 30, 2025 | -4,000.00 |
| Jun 30, 2025 | -3,000.00 |
| Mar 31, 2025 | -3,000.00 |
| Dec 31, 2024 | -2,000.00 |
| Sep 30, 2024 | -4,000.00 |
| Jun 30, 2024 | -2,000.00 |
| Mar 31, 2024 | -3,000.00 |
| Dec 31, 2023 | -1,000.00 |
| Sep 30, 2023 | -3,000.00 |
| Jun 30, 2023 | -10,000.00 |
| Mar 31, 2023 | -1,000.00 |
| Dec 31, 2022 | -6,000.00 |
| Sep 30, 2022 | -3,000.00 |
| Jun 30, 2022 | -4,000.00 |
| Mar 31, 2022 | -3,000.00 |
| Dec 31, 2021 | -4,000.00 |
| Sep 30, 2021 | -2,000.00 |
| Jun 30, 2021 | -10,000.00 |
| Mar 31, 2021 | -15,000.00 |
API Access
Niagen Bioscience 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=NAGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NAGE", "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=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();