Nu Skin Enterprises (NUS) Accumulated Expenses (2009 - 2026)
Nu Skin Enterprises (NUS) posted Accumulated Expenses of $198.64 million for Q2 2026, down 9.8% from $220.17 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Nu Skin Enterprises (NUS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Nu Skin Enterprises' Accumulated Expenses came in at $217.55 million, down 0.1% from FY2024.
- Annual Accumulated Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In prior years, Nu Skin Enterprises' Accumulated Expenses was $217.81 million in FY2024 (-14.1%), $253.7 million in FY2023 (-9.5%), $280.28 million in FY2022 (-24.7%) and $372.2 million in FY2021 (-16.7%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2012.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 8.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 0.7%; the weakest was Q2 2022, with a decline of 28.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $208.18 million (Q1 2026), $217.55 million (Q4 2025) and $205.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Nu Skin Enterprises | 220.51 Mn | -664.12 Mn | 218.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.64 Mn |
| Mar 31, 2026 | 208.18 Mn |
| Dec 31, 2025 | 217.55 Mn |
| Sep 30, 2025 | 205.91 Mn |
| Jun 30, 2025 | 220.17 Mn |
| Mar 31, 2025 | 206.71 Mn |
| Dec 31, 2024 | 217.81 Mn |
| Sep 30, 2024 | 246.62 Mn |
| Jun 30, 2024 | 242.29 Mn |
| Mar 31, 2024 | 247.07 Mn |
| Dec 31, 2023 | 253.70 Mn |
| Sep 30, 2023 | 245.43 Mn |
| Jun 30, 2023 | 255.51 Mn |
| Mar 31, 2023 | 275.77 Mn |
| Dec 31, 2022 | 280.28 Mn |
| Sep 30, 2022 | 281.42 Mn |
| Jun 30, 2022 | 289.13 Mn |
| Mar 31, 2022 | 343.74 Mn |
| Dec 31, 2021 | 372.20 Mn |
| Sep 30, 2021 | 378.57 Mn |
API Access
Nu Skin Enterprises Accumulated Expenses 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=accumulated-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();