Natures Sunshine Products (NATR) Selling, General & Administrative (2009 - 2026)
Powered by 
Analysis
Natures Sunshine Products (NATR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.37 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 290.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Natures Sunshine Products | 190.03 Mn | -163.32 Mn | 84.96 Mn | 42.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.32 Mn |
| Jun 30, 2026 | 44.88 Mn |
| Mar 31, 2026 | 43.54 Mn |
| Dec 31, 2025 | 48.42 Mn |
| Sep 30, 2025 | 45.73 Mn |
| Jun 30, 2025 | 43.67 Mn |
| Mar 31, 2025 | 40.58 Mn |
| Dec 31, 2024 | 43.71 Mn |
| Sep 30, 2024 | 40.95 Mn |
| Jun 30, 2024 | 38.56 Mn |
| Mar 31, 2024 | 40.78 Mn |
| Dec 31, 2023 | 39.86 Mn |
| Sep 30, 2023 | 41.29 Mn |
| Jun 30, 2023 | 42.27 Mn |
| Mar 31, 2023 | 43.64 Mn |
| Dec 31, 2022 | 38.84 Mn |
| Sep 30, 2022 | 36.79 Mn |
| Jun 30, 2022 | 36.87 Mn |
| Mar 31, 2022 | 40.62 Mn |
| Dec 31, 2021 | 45.44 Mn |
API Access
Natures Sunshine Products 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=NATR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NATR", "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=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();