Nu Skin Enterprises (NUS) Total Liabilities (2009 - 2026)
Nu Skin Enterprises (NUS) posted Total Liabilities of $578.79 million for Q2 2026, down 11.8% from $655.94 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Nu Skin Enterprises (NUS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nu Skin Enterprises' Total Liabilities came in at $600.07 million, down 26.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In prior years, Nu Skin Enterprises' Total Liabilities was $817.46 million in FY2024 (-17.1%), $986.66 million in FY2023 (+6.8%), $923.67 million in FY2022 (-7.0%) and $993.71 million in FY2021 (-6.5%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2012.
- On a year-over-year basis, Total Liabilities has declined in each of the last nine quarters, with an average decline of 20.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 6.8%; the weakest was Q1 2025, with a decline of 31.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $582.71 million (Q1 2026), $600.07 million (Q4 2025) and $624.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Nu Skin Enterprises | 225.86 Mn | -658.77 Mn | 218.33 Mn | 578.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 578.79 Mn |
| Mar 31, 2026 | 582.71 Mn |
| Dec 31, 2025 | 600.07 Mn |
| Sep 30, 2025 | 624.61 Mn |
| Jun 30, 2025 | 655.94 Mn |
| Mar 31, 2025 | 637.44 Mn |
| Dec 31, 2024 | 817.46 Mn |
| Sep 30, 2024 | 876.02 Mn |
| Jun 30, 2024 | 899.81 Mn |
| Mar 31, 2024 | 931.71 Mn |
| Dec 31, 2023 | 986.66 Mn |
| Sep 30, 2023 | 970.90 Mn |
| Jun 30, 2023 | 998.43 Mn |
| Mar 31, 2023 | 931.68 Mn |
| Dec 31, 2022 | 923.67 Mn |
| Sep 30, 2022 | 921.24 Mn |
| Jun 30, 2022 | 959.87 Mn |
| Mar 31, 2022 | 958.05 Mn |
| Dec 31, 2021 | 993.71 Mn |
| Sep 30, 2021 | 1.04 Bn |
API Access
Nu Skin Enterprises Total 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-liabilities&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();