Niagen Bioscience (NAGE) Other Non-Current Liabilities (2011 - 2026)
Niagen Bioscience (NAGE) posted Other Non-Current Liabilities of $5.17 million for Q2 2026, up 2.1% from the prior quarter.
Analysis
Niagen Bioscience (NAGE) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Niagen Bioscience's Other Non-Current Liabilities came in at $5.47 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn |
| 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 |
| 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 |
|---|---|
| Sep 30, 2026 | 5.27 Mn |
| Jun 30, 2026 | 5.17 Mn |
| Mar 31, 2026 | 5.06 Mn |
| Dec 31, 2025 | 5.47 Mn |
| Jun 30, 2020 | 250,000.00 |
| Mar 31, 2020 | 238,000.00 |
| Dec 31, 2019 | 169,000.00 |
| Sep 30, 2019 | 261,000.00 |
| Jun 30, 2019 | 293,000.00 |
| Mar 31, 2019 | 363,000.00 |
| Dec 31, 2018 | 752,000.00 |
| Sep 30, 2018 | 637,000.00 |
| Jun 30, 2018 | 678,000.00 |
| Mar 31, 2018 | 641,000.00 |
| Dec 30, 2017 | 806,000.00 |
| Sep 30, 2017 | 814,854.00 |
| Jul 1, 2017 | 1.05 Mn |
| Apr 1, 2017 | 967,953.00 |
| Dec 31, 2016 | 769,215.00 |
| Oct 1, 2016 | 545,034.00 |
API Access
Niagen Bioscience Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();