Nu Skin Enterprises (NUS) Operating Expenses (2009 - 2026)
Nu Skin Enterprises' Operating Expenses came in at $277.64 million for Q2 2026, up 18.2% from $234.95 million a year earlier and up 31.9% from the prior quarter.
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Analysis
Nu Skin Enterprises (NUS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nu Skin Enterprises reported Operating Expenses of $961.9 million, down 13.1% year-over-year; for FY2025, it was $965.64 million, down 27.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.33 billion in FY2024 (+1.9%), $1.31 billion in FY2023 (-11.8%), $1.48 billion in FY2022 (-16.9%) and $1.79 billion in FY2021 (+7.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 14.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 34.3%), and the weakest in Q2 2025 (a decline of 45.7%).
- Business Quant data shows NUS's Operating Expenses at $210.44 million (Q1 2026), $238.74 million (Q4 2025) and $235.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 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 | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Nu Skin Enterprises | 225.86 Mn | -658.77 Mn | 218.33 Mn | 277.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.64 Mn |
| Mar 31, 2026 | 210.44 Mn |
| Dec 31, 2025 | 238.74 Mn |
| Sep 30, 2025 | 235.08 Mn |
| Jun 30, 2025 | 234.95 Mn |
| Mar 31, 2025 | 256.86 Mn |
| Dec 31, 2024 | 332.23 Mn |
| Sep 30, 2024 | 283.23 Mn |
| Jun 30, 2024 | 432.73 Mn |
| Mar 31, 2024 | 285.24 Mn |
| Dec 31, 2023 | 336.36 Mn |
| Sep 30, 2023 | 318.63 Mn |
| Jun 30, 2023 | 322.21 Mn |
| Mar 31, 2023 | 331.81 Mn |
| Dec 31, 2022 | 347.07 Mn |
| Sep 30, 2022 | 384.59 Mn |
| Jun 30, 2022 | 360.99 Mn |
| Mar 31, 2022 | 391.26 Mn |
| Dec 31, 2021 | 479.34 Mn |
| Sep 30, 2021 | 416.86 Mn |
API Access
Nu Skin Enterprises Operating 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=operating-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();