Nu Skin Enterprises (NUS) Cash & Equivalents (2009 - 2026)
Nu Skin Enterprises' Cash & Equivalents was $189.64 million in Q2 2026, down 28.2% from $264.16 million a year earlier and down 4.5% from the prior quarter.
Nu Skin Enterprises (NUS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Nu Skin Enterprises came in at $238.63 million, up 27.7% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $186.88 million in FY2024 (-27.0%), $256.06 million in FY2023 (-3.3%), $264.73 million in FY2022 (-22.0%) and $339.59 million in FY2021 (-15.7%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q4 2024.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2025 (growth of 27.7%); the worst was Q2 2023 (a decline of 35.3%).
- Per Business Quant data, NUS's Cash & Equivalents in the three quarters before Q2 2026 was $198.65 million (Q1 2026), $238.63 million (Q4 2025) and $251.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.11 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 3.50 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Nu Skin Enterprises | 220.99 Mn | -663.64 Mn | 218.33 Mn | 189.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.64 Mn |
| Mar 31, 2026 | 198.65 Mn |
| Dec 31, 2025 | 238.63 Mn |
| Sep 30, 2025 | 251.79 Mn |
| Jun 30, 2025 | 264.16 Mn |
| Mar 31, 2025 | 203.77 Mn |
| Dec 31, 2024 | 186.88 Mn |
| Sep 30, 2024 | 227.75 Mn |
| Jun 30, 2024 | 224.25 Mn |
| Mar 31, 2024 | 212.53 Mn |
| Dec 31, 2023 | 256.06 Mn |
| Sep 30, 2023 | 233.31 Mn |
| Jun 30, 2023 | 235.55 Mn |
| Mar 31, 2023 | 229.94 Mn |
| Dec 31, 2022 | 264.73 Mn |
| Sep 30, 2022 | 294.14 Mn |
| Jun 30, 2022 | 363.92 Mn |
| Mar 31, 2022 | 302.22 Mn |
| Dec 31, 2021 | 339.59 Mn |
| Sep 30, 2021 | 282.41 Mn |
Nu Skin Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();