Nu Skin Enterprises (NUS) Goodwill & Intangibles (2009 - 2026)
Nu Skin Enterprises (NUS) recorded Goodwill & Intangibles of $42.63 million in Q2 2026, down 67.1% from $129.56 million a year earlier and down 65.3% from the prior quarter.
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Analysis
Nu Skin Enterprises (NUS) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Nu Skin Enterprises reported Goodwill & Intangibles of $126.24 million, down 20.1% from FY2024.
- Annual Goodwill & Intangibles has a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Across earlier years, Goodwill & Intangibles came in at $157.9 million in FY2024 (-49.6%), $313.43 million in FY2023 (+14.8%), $273.13 million in FY2022 (-3.6%) and $283.42 million in FY2021 (-3.1%).
- The Q2 2026 figure is the lowest quarterly Goodwill & Intangibles in data going back to Q4 2009.
- On a year-over-year basis, Goodwill & Intangibles has declined for nine consecutive quarters, with an average decline of 38.9% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 23.0% in Q3 2023, against a decline of 67.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $122.92 million (Q1 2026), $126.24 million (Q4 2025) and $127.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn |
| 10 | Nu Skin Enterprises | 220.99 Mn | -663.64 Mn | 218.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.63 Mn |
| Mar 31, 2026 | 122.92 Mn |
| Dec 31, 2025 | 126.24 Mn |
| Sep 30, 2025 | 127.82 Mn |
| Jun 30, 2025 | 129.56 Mn |
| Mar 31, 2025 | 131.18 Mn |
| Dec 31, 2024 | 157.90 Mn |
| Sep 30, 2024 | 185.15 Mn |
| Jun 30, 2024 | 188.35 Mn |
| Mar 31, 2024 | 332.70 Mn |
| Dec 31, 2023 | 313.43 Mn |
| Sep 30, 2023 | 338.44 Mn |
| Jun 30, 2023 | 342.09 Mn |
| Mar 31, 2023 | 271.14 Mn |
| Dec 31, 2022 | 273.13 Mn |
| Sep 30, 2022 | 275.18 Mn |
| Jun 30, 2022 | 279.10 Mn |
| Mar 31, 2022 | 281.31 Mn |
| Dec 31, 2021 | 283.42 Mn |
| Sep 30, 2021 | 304.08 Mn |
API Access
Nu Skin Enterprises Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();