Nu Skin Enterprises (NUS) Acquisitions (2016 - 2020)
Nu Skin Enterprises' Acquisitions came in at $77.28 million for FY2023.
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Analysis
Nu Skin Enterprises (NUS) Acquisitions (2016 - 2020) Analysis & Trends
Going back to FY2011, Nu Skin Enterprises' Acquisitions data covers 9 years.
- Acquisitions carries a five-year compound annual growth rate of 14.9% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Acquisitions in data going back to FY2011.
- Per Business Quant, earlier years put Acquisitions at $18.96 million in FY2021 (+26.9%), $14.95 million in FY2020 (+85.2%) and $8.07 million in FY2019 (-79.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | 14.95 Mn |
| Jun 30, 2019 | 573,000.00 |
| Mar 31, 2019 | 7.50 Mn |
| Dec 31, 2018 | 5.45 Mn |
| Mar 31, 2018 | 33.06 Mn |
| Dec 31, 2017 | 31.75 Mn |
| Sep 30, 2017 | -25.10 Mn |
| Jun 30, 2017 | 25.10 Mn |
| Dec 31, 2016 | 4.29 Mn |
| Jun 30, 2016 | 1.10 Mn |
| Mar 31, 2016 | 3.30 Mn |
API Access
Nu Skin Enterprises Acquisitions 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=acquisitions&ticker=NUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=NUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();