Nu Skin Enterprises (NUS) Selling, General & Administrative (2009 - 2026)
Nu Skin Enterprises (NUS) recorded Selling, General & Administrative of $90.85 million in Q2 2026, down 14.9% from $106.73 million a year earlier and down 7.8% from the prior quarter.
Nu Skin Enterprises (NUS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Nu Skin Enterprises' Selling, General & Administrative came in at $401.6 million as of Jun 30, 2026, down 12.0% year-over-year; for FY2025, it came in at $432.14 million, down 9.8% from FY2024.
- Annual Selling, General & Administrative has declined for four straight years, with a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $479.04 million in FY2024 (-12.4%), $546.86 million in FY2023 (-1.6%), $555.77 million in FY2022 (-15.1%) and $654.43 million in FY2021 (+2.8%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2009.
- On a year-over-year basis, Selling, General & Administrative has declined for ten consecutive quarters, with an average decline of 11.9% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 13.6% in Q4 2023, against a decline of 22.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $98.54 million (Q1 2026), $107.4 million (Q4 2025) and $104.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 2.48 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 | 252.20 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Nu Skin Enterprises | 220.99 Mn | -663.64 Mn | 218.33 Mn | 90.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.85 Mn |
| Mar 31, 2026 | 98.54 Mn |
| Dec 31, 2025 | 107.40 Mn |
| Sep 30, 2025 | 104.82 Mn |
| Jun 30, 2025 | 106.73 Mn |
| Mar 31, 2025 | 113.20 Mn |
| Dec 31, 2024 | 120.93 Mn |
| Sep 30, 2024 | 115.62 Mn |
| Jun 30, 2024 | 117.92 Mn |
| Mar 31, 2024 | 124.57 Mn |
| Dec 31, 2023 | 145.03 Mn |
| Sep 30, 2023 | 130.88 Mn |
| Jun 30, 2023 | 137.04 Mn |
| Mar 31, 2023 | 133.90 Mn |
| Dec 31, 2022 | 127.66 Mn |
| Sep 30, 2022 | 137.99 Mn |
| Jun 30, 2022 | 141.56 Mn |
| Mar 31, 2022 | 148.56 Mn |
| Dec 31, 2021 | 164.21 Mn |
| Sep 30, 2021 | 156.53 Mn |
Nu Skin Enterprises Selling, General & Administrative 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=selling-general-and-administrative&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();