Nu Skin Enterprises (NUS) Asset Writedowns and Impairment (2021 - 2026)
Nu Skin Enterprises' Asset Writedowns and Impairment came in at $78.88 million for Q2 2026.
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Analysis
Nu Skin Enterprises (NUS) Asset Writedowns and Impairment (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nu Skin Enterprises reported Asset Writedowns and Impairment of $83.63 million, up 35.3% year-over-year; for FY2025, it was $28.08 million, down 84.5% from FY2024.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of -3.1% (FY2021 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $181.07 million in FY2024 (+105.5%), $88.11 million in FY2023 (+103.5%), $43.29 million in FY2022 (+35.7%) and $31.89 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Asset Writedowns and Impairment since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Nu Skin Enterprises | 224.40 Mn | -660.23 Mn | 218.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.88 Mn |
| Mar 31, 2026 | 4.75 Mn |
| Mar 31, 2025 | 28.08 Mn |
| Dec 31, 2024 | 33.72 Mn |
| Jun 30, 2024 | 130.90 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 4.47 Mn |
| Sep 30, 2023 | 68.56 Mn |
| Jun 30, 2023 | 11.81 Mn |
| Mar 31, 2023 | 3.27 Mn |
| Dec 31, 2022 | 5.42 Mn |
| Dec 31, 2021 | 31.89 Mn |
API Access
Nu Skin Enterprises Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();