Nu Skin Enterprises (NUS) Non Operating Interest Expenses (2023 - 2026)
Nu Skin Enterprises' Non Operating Interest Expenses came in at $3.32 million for Q2 2026, up 31.5% from $2.53 million a year earlier but down 21.8% from the prior quarter.
Nu Skin Enterprises (NUS) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nu Skin Enterprises reported Non Operating Interest Expenses of $15.71 million, down 13.5% year-over-year; for FY2025, it came in at $13.95 million, down 47.2% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of 1.1% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $26.41 million in FY2024 (+3.3%), $25.56 million in FY2023 (+89.4%) and $13.49 million in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is $2.53 million (Q2 2025) to $7.54 million (Q3 2023).
- Year-over-year, Non Operating Interest Expenses increased in two of the last eight quarters, with an average decline of 19.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2024 (growth of 49.9%), and the weakest in Q2 2025 (a decline of 62.4%).
- Business Quant data shows NUS's Non Operating Interest Expenses at $4.25 million (Q1 2026), $3.99 million (Q4 2025) and $4.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 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 | 22.00 Mn |
| 10 | Nu Skin Enterprises | 220.51 Mn | -664.12 Mn | 218.33 Mn | 3.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Mn |
| Mar 31, 2026 | 4.25 Mn |
| Dec 31, 2025 | 3.99 Mn |
| Sep 30, 2025 | 4.15 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 3.28 Mn |
| Dec 31, 2024 | 5.86 Mn |
| Sep 30, 2024 | 6.50 Mn |
| Jun 30, 2024 | 6.72 Mn |
| Mar 31, 2024 | 7.33 Mn |
| Dec 31, 2023 | 7.37 Mn |
| Sep 30, 2023 | 7.54 Mn |
| Jun 30, 2023 | 5.77 Mn |
| Mar 31, 2023 | 4.89 Mn |
Nu Skin Enterprises Non Operating Interest 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=non-operating-interest-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();