Nu Skin Enterprises (NUS) Other Non-Current Liabilities (2009 - 2026)
Nu Skin Enterprises (NUS) reported Other Non-Current Liabilities of $78.71 million for Q2 2026, down 18.3% from $96.3 million a year earlier but up 15.6% from the prior quarter.
Nu Skin Enterprises (NUS) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nu Skin Enterprises posted Other Non-Current Liabilities of $74.51 million, down 23.6% from FY2024.
- Other Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $97.48 million in FY2024 (-8.6%), $106.64 million in FY2023 (-3.4%), $110.43 million in FY2022 (+3.7%) and $106.47 million in FY2021 (+4.1%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $68.1 million in Q1 2026 and a high of $123.03 million in Q3 2021.
- Year over year, Other Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 10.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q3 2021 (growth of 38.6%); the low point was Q1 2026 (a decline of 29.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $68.1 million (Q1 2026), $74.51 million (Q4 2025) and $98.75 million (Q3 2025).
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 | Nu Skin Enterprises | 204.59 Mn | -680.04 Mn | 218.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.71 Mn |
| Mar 31, 2026 | 68.10 Mn |
| Dec 31, 2025 | 74.51 Mn |
| Sep 30, 2025 | 98.75 Mn |
| Jun 30, 2025 | 96.30 Mn |
| Mar 31, 2025 | 96.44 Mn |
| Dec 31, 2024 | 97.48 Mn |
| Sep 30, 2024 | 94.85 Mn |
| Jun 30, 2024 | 92.57 Mn |
| Mar 31, 2024 | 95.02 Mn |
| Dec 31, 2023 | 106.64 Mn |
| Sep 30, 2023 | 105.79 Mn |
| Jun 30, 2023 | 111.15 Mn |
| Mar 31, 2023 | 107.52 Mn |
| Dec 31, 2022 | 110.43 Mn |
| Sep 30, 2022 | 95.32 Mn |
| Jun 30, 2022 | 98.39 Mn |
| Mar 31, 2022 | 103.75 Mn |
| Dec 31, 2021 | 106.47 Mn |
| Sep 30, 2021 | 123.03 Mn |
Nu Skin Enterprises 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=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "NUS", "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=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();