Natures Sunshine Products (NATR) Shares Outstanding (2009 - 2026)
Natures Sunshine Products (NATR) reported Weighted Average Shares Outstanding of 17.52 million for Q3 2026, down 0.7% from 17.64 million a year earlier and down 1.6% from the prior quarter.
Natures Sunshine Products (NATR) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Natures Sunshine Products posted Weighted Average Shares Outstanding of 18.01 million, down 3.3% from FY2024.
- Weighted Average Shares Outstanding has declined for four consecutive years, with a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 18.62 million in FY2024 (-2.4%), 19.07 million in FY2023 (-1.3%), 19.33 million in FY2022 (-2.7%) and 19.86 million in FY2021 (+1.6%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding since Q4 2014.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 19 quarters, with an average decline of 2.8% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q4 2021 (growth of 1.6%); the low point was Q1 2026 (a decline of 5.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 17.81 million (Q2 2026), 17.52 million (Q1 2026) and 18.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 796.90 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 332.60 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 237.10 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 121.62 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 59.03 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 210.80 Mn |
| 10 | Natures Sunshine Products | 190.03 Mn | -163.32 Mn | 84.96 Mn | 17.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.52 Mn |
| Jun 30, 2026 | 17.81 Mn |
| Mar 31, 2026 | 17.52 Mn |
| Dec 31, 2025 | 18.01 Mn |
| Sep 30, 2025 | 17.64 Mn |
| Jun 30, 2025 | 18.41 Mn |
| Mar 31, 2025 | 18.49 Mn |
| Dec 31, 2024 | 18.62 Mn |
| Sep 30, 2024 | 18.51 Mn |
| Jun 30, 2024 | 18.65 Mn |
| Mar 31, 2024 | 18.83 Mn |
| Dec 31, 2023 | 19.07 Mn |
| Sep 30, 2023 | 19.13 Mn |
| Jun 30, 2023 | 19.29 Mn |
| Mar 31, 2023 | 19.06 Mn |
| Dec 31, 2022 | 19.33 Mn |
| Sep 30, 2022 | 19.20 Mn |
| Jun 30, 2022 | 19.39 Mn |
| Mar 31, 2022 | 19.57 Mn |
| Dec 31, 2021 | 19.86 Mn |
Natures Sunshine Products Shares Outstanding 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=shares-outstanding&ticker=NATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();