Nu Skin Enterprises (NUS) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Nu Skin Enterprises' Non-Current Debt was $193.66 million in Q2 2026, down 9.5% from $213.9 million a year earlier and down 4.9% from the prior quarter.
Nu Skin Enterprises (NUS) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Nu Skin Enterprises came in at $204.19 million, down 43.8% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $363.61 million in FY2024 (-23.9%), $478.04 million in FY2023 (+26.6%), $377.47 million in FY2022 (+40.4%) and $268.78 million in FY2021 (-12.0%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Debt since Q1 2018.
- Compared with a year earlier, Non-Current Debt has declined for seven straight quarters, with an average decline of 28.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q1 2023 (growth of 43.9%); the worst was Q1 2025 (a decline of 51.7%).
- Per Business Quant data, NUS's Non-Current Debt in the three quarters before Q2 2026 was $203.59 million (Q1 2026), $204.19 million (Q4 2025) and $209.04 million (Q3 2025).
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 | Nu Skin Enterprises | 204.59 Mn | -680.04 Mn | 218.33 Mn | -10.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.49 Mn |
| Mar 31, 2026 | -489,000.00 |
| Dec 31, 2025 | -5.48 Mn |
| Sep 30, 2025 | -20.64 Mn |
| Jun 30, 2025 | 9.50 Mn |
| Mar 31, 2025 | -155.62 Mn |
| Dec 31, 2024 | -40.58 Mn |
| Sep 30, 2024 | -25.74 Mn |
| Jun 30, 2024 | -25.78 Mn |
| Mar 31, 2024 | -20.79 Mn |
| Dec 31, 2023 | -816,000.00 |
| Sep 30, 2023 | -5.84 Mn |
| Jun 30, 2023 | 86.87 Mn |
| Mar 31, 2023 | 16.59 Mn |
| Dec 31, 2022 | -23.02 Mn |
| Sep 30, 2022 | -2.97 Mn |
| Jun 30, 2022 | 59.55 Mn |
| Mar 31, 2022 | -7.98 Mn |
| Dec 31, 2021 | -12.96 Mn |
| Sep 30, 2021 | -52.95 Mn |
Nu Skin Enterprises 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=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();