Nu Skin Enterprises (NUS) Long-Term Debt Repayments (2010 - 2026)
Nu Skin Enterprises' Long-Term Debt Repayments was $10 million in Q2 2026, up 100.0% from $5 million a year earlier but down 95.6% from the prior quarter.
Nu Skin Enterprises (NUS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nu Skin Enterprises' Long-Term Debt Repayments was $300 million through Jun 30, 2026, up 25.0% year-over-year; for FY2025, it was $225 million, up 80.0% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $125 million in FY2024, $10 million in FY2023 (-97.7%), $432.5 million in FY2022 (+276.1%) and $115 million in FY2021 (-19.3%).
- Quarterly Long-Term Debt Repayments has moved between $2.5 million (Q3 2022) and $400 million (Q2 2022) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last seven quarters, with growth averaging 200.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2024 (growth of 900.0%); the worst was Q2 2023 (a decline of 99.4%).
- Per Business Quant data, NUS's Long-Term Debt Repayments in the three quarters before Q2 2026 was $225 million (Q1 2026), $5 million (Q4 2025) and $60 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | - |
| 10 | Nu Skin Enterprises | 232.53 Mn | -652.10 Mn | 218.33 Mn | 10.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.49 Mn |
| Mar 31, 2026 | 225.49 Mn |
| Dec 31, 2025 | 5.48 Mn |
| Sep 30, 2025 | 60.64 Mn |
| Jun 30, 2025 | 5.50 Mn |
| Mar 31, 2025 | 155.62 Mn |
| Dec 31, 2024 | 40.58 Mn |
| Sep 30, 2024 | 40.74 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 | 3.13 Mn |
| Mar 31, 2023 | 3.41 Mn |
| Dec 31, 2022 | 23.02 Mn |
| Sep 30, 2022 | 2.97 Mn |
| Jun 30, 2022 | 400.45 Mn |
| Mar 31, 2022 | 7.98 Mn |
| Dec 31, 2021 | 37.96 Mn |
| Sep 30, 2021 | 52.95 Mn |
Nu Skin Enterprises Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();