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 | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Niagen Bioscience | 230.41 Mn | -31.96 Mn | 19.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 477,000.00 |
| Sep 30, 2018 | 482,000.00 |
| Jun 30, 2018 | 493,000.00 |
| Mar 31, 2018 | 439,000.00 |
| Dec 30, 2017 | 492,000.00 |
| Sep 30, 2017 | 493,735.00 |
| Jul 1, 2017 | 547,539.00 |
| Apr 1, 2017 | 568,943.00 |
| Dec 31, 2016 | 389,010.00 |
| Oct 1, 2016 | 277,615.00 |
| Jan 2, 2016 | 272,002.00 |
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();