Natures Sunshine Products (NATR) Dividends Paid - Common and Preferred (2009 - 2017)
Analysis
Natures Sunshine Products (NATR) Dividends Paid - Common and Preferred (2009 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.60 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 429.00 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 126.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 403.00 Mn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 425.00 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 73.80 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 151.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 49.00 Mn |
| 10 | Natures Sunshine Products | 190.03 Mn | -163.32 Mn | 84.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -38,000.00 |
| Mar 31, 2017 | 1.89 Mn |
| Dec 31, 2016 | 1.88 Mn |
| Sep 30, 2016 | 1.88 Mn |
| Jun 30, 2016 | 1.88 Mn |
| Mar 31, 2016 | 1.87 Mn |
| Dec 31, 2015 | 1.87 Mn |
| Sep 30, 2015 | 1.88 Mn |
| Jun 30, 2015 | 1.88 Mn |
| Mar 31, 2015 | 1.87 Mn |
| Dec 31, 2014 | 1.87 Mn |
| Sep 30, 2014 | 30.12 Mn |
| Dec 31, 2013 | 1.62 Mn |
| Sep 30, 2013 | 25.63 Mn |
| Jun 30, 2013 | 1.59 Mn |
| Mar 31, 2013 | 1.58 Mn |
| Dec 31, 2012 | 789,000.00 |
| Sep 30, 2012 | 780,000.00 |
| Dec 31, 2009 | 1.55 Mn |
| Mar 31, 2009 | -776,000.00 |
API Access
Natures Sunshine Products Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=NATR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=NATR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();