Nu Skin Enterprises (NUS) Restructuring Costs (2009 - 2025)
Nu Skin Enterprises' Restructuring Costs was $25.11 million in FY2025, down 87.6% from $202.36 million in FY2024.
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Analysis
Nu Skin Enterprises (NUS) Restructuring Costs (2009 - 2025) Analysis & Trends
From FY2009 onward, Nu Skin Enterprises has reported Restructuring Costs for 7 years.
- Restructuring Costs shows a four-year compound annual growth rate of -16.6% (FY2021 to FY2025).
- Annual Restructuring Costs has moved between $19.79 million (FY2023) and $202.36 million (FY2024) over five years.
- Per Business Quant data, Restructuring Costs in earlier years was $202.36 million in FY2024 (+922.5%), $19.79 million in FY2023 (-59.2%), $48.49 million in FY2022 (-6.5%) and $51.87 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Nu Skin Enterprises | 225.86 Mn | -658.77 Mn | 218.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 25.11 Mn |
| Dec 31, 2024 | 45.88 Mn |
| Jun 30, 2024 | 149.35 Mn |
| Mar 31, 2024 | 7.13 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Mar 31, 2023 | 9.79 Mn |
| Dec 31, 2022 | 18.37 Mn |
| Sep 30, 2022 | 30.12 Mn |
| Dec 31, 2021 | 51.87 Mn |
| Dec 31, 2009 | -1.04 Mn |
| Sep 30, 2009 | 812,000.00 |
| Jun 30, 2009 | 1.56 Mn |
API Access
Nu Skin Enterprises Restructuring Costs 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=restructuring-costs&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();