Nu Skin Enterprises (NUS) Other Operating Expenses (2009 - 2026)
Nu Skin Enterprises' Other Operating Expenses was $186.8 million in Q2 2026, up 45.7% from $128.23 million a year earlier and up 66.9% from the prior quarter.
Nu Skin Enterprises (NUS) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nu Skin Enterprises' Other Operating Expenses was $560.3 million through Jun 30, 2026, down 3.4% year-over-year; for FY2025, it was $508.38 million, down 22.0% from FY2024.
- Other Operating Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $652.04 million in FY2024 (-12.2%), $742.37 million in FY2023 (-15.6%), $879.63 million in FY2022 (-18.6%) and $1.08 billion in FY2021 (+4.9%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q3 2023.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 8.5%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2026 (growth of 45.7%); the worst was Q4 2022 (a decline of 23.6%).
- Per Business Quant data, NUS's Other Operating Expenses in the three quarters before Q2 2026 was $111.89 million (Q1 2026), $131.34 million (Q4 2025) and $130.26 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.80 Mn |
| Mar 31, 2026 | 111.89 Mn |
| Dec 31, 2025 | 131.34 Mn |
| Sep 30, 2025 | 130.26 Mn |
| Jun 30, 2025 | 128.23 Mn |
| Mar 31, 2025 | 118.55 Mn |
| Dec 31, 2024 | 165.42 Mn |
| Sep 30, 2024 | 167.61 Mn |
| Jun 30, 2024 | 165.46 Mn |
| Mar 31, 2024 | 153.54 Mn |
| Dec 31, 2023 | 181.33 Mn |
| Sep 30, 2023 | 187.75 Mn |
| Jun 30, 2023 | 185.17 Mn |
| Mar 31, 2023 | 188.12 Mn |
| Dec 31, 2022 | 201.03 Mn |
| Sep 30, 2022 | 216.48 Mn |
| Jun 30, 2022 | 219.43 Mn |
| Mar 31, 2022 | 242.70 Mn |
| Dec 31, 2021 | 263.27 Mn |
| Sep 30, 2021 | 260.33 Mn |
Nu Skin Enterprises Other 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=other-operating-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();