Nu Skin Enterprises (NUS) Pension (2009 - 2020)
Nu Skin Enterprises (NUS) posted Pension of $2.98 million for Q4 2020, down 13.7% from $3.45 million a year earlier.
Analysis
Nu Skin Enterprises (NUS) Pension (2009 - 2020) Analysis & Trends
Since Q4 2009, Nu Skin Enterprises has reported Pension for 12 quarters.
- Annual Pension shows a five-year compound annual growth rate of -9.3% (FY2015 to FY2020).
- In prior years, Nu Skin Enterprises' Pension was $3.45 million in FY2019 (+14.3%), $3.02 million in FY2018 (-52.5%), $6.36 million in FY2017 (+12.9%) and $5.63 million in FY2016 (+15.9%).
- The Q4 2020 figure stands as the lowest quarterly Pension in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Nu Skin Enterprises | 225.86 Mn | -658.77 Mn | 218.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 2.98 Mn |
| Dec 31, 2019 | 3.45 Mn |
| Dec 31, 2018 | 3.02 Mn |
| Dec 31, 2017 | 6.36 Mn |
| Dec 31, 2016 | 5.63 Mn |
| Dec 31, 2015 | 4.86 Mn |
| Dec 31, 2014 | 5.84 Mn |
| Dec 31, 2013 | 6.18 Mn |
| Dec 31, 2012 | 7.60 Mn |
| Dec 31, 2011 | 8.40 Mn |
| Dec 31, 2010 | 7.40 Mn |
| Dec 31, 2009 | 5.90 Mn |
API Access
Nu Skin Enterprises Pension 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=pension&ticker=NUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();