Nu Skin Enterprises (NUS) Total Non-Current Liabilities (2009 - 2026)
Nu Skin Enterprises' Total Non-Current Liabilities was $500.09 million in Q2 2026, down 10.6% from $559.64 million a year earlier and down 2.8% from the prior quarter.
Nu Skin Enterprises (NUS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Nu Skin Enterprises came in at $525.56 million, down 27.0% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $719.98 million in FY2024 (-18.2%), $880.02 million in FY2023 (+8.2%), $813.25 million in FY2022 (-8.3%) and $887.23 million in FY2021 (-7.6%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2013.
- Compared with a year earlier, Total Non-Current Liabilities has declined for nine straight quarters, with an average decline of 21.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2023 (growth of 8.2%); the worst was Q1 2025 (a decline of 35.3%).
- Per Business Quant data, NUS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $514.61 million (Q1 2026), $525.56 million (Q4 2025) and $525.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Nu Skin Enterprises | 225.86 Mn | -658.77 Mn | 218.33 Mn | 500.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500.09 Mn |
| Mar 31, 2026 | 514.61 Mn |
| Dec 31, 2025 | 525.56 Mn |
| Sep 30, 2025 | 525.86 Mn |
| Jun 30, 2025 | 559.64 Mn |
| Mar 31, 2025 | 541.01 Mn |
| Dec 31, 2024 | 719.98 Mn |
| Sep 30, 2024 | 781.17 Mn |
| Jun 30, 2024 | 807.24 Mn |
| Mar 31, 2024 | 836.69 Mn |
| Dec 31, 2023 | 880.02 Mn |
| Sep 30, 2023 | 865.12 Mn |
| Jun 30, 2023 | 887.28 Mn |
| Mar 31, 2023 | 824.15 Mn |
| Dec 31, 2022 | 813.25 Mn |
| Sep 30, 2022 | 825.91 Mn |
| Jun 30, 2022 | 861.48 Mn |
| Mar 31, 2022 | 854.30 Mn |
| Dec 31, 2021 | 887.23 Mn |
| Sep 30, 2021 | 914.90 Mn |
Nu Skin Enterprises Total 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=total-non-current-liabilities&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();