Coty (COTY) Acquisitions (2012 - 2018)
Coty's Acquisitions was $592.2 million in FY2020 (year ended Jun 30, 2020), compared with $40.8 million in FY2019.
Powered by 
Analysis
Coty (COTY) Acquisitions (2012 - 2018) Analysis & Trends
From FY2012 onward, Coty has reported Acquisitions for 9 fiscal years.
- The FY2020 figure marks the highest annual Acquisitions since FY2017.
- Per Business Quant data, Acquisitions in earlier fiscal years was $40.8 million in FY2019 (-85.3%), $278 million in FY2018 (-62.6%), $742.6 million in FY2017 (-18.3%) and $908.7 million in FY2016.
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 | Coty | 2.36 Bn | 1.40 Bn | 772.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 40.80 Mn |
| Jun 30, 2018 | 12.50 Mn |
| Mar 31, 2018 | 900,000.00 |
| Dec 31, 2017 | 257.10 Mn |
| Sep 30, 2017 | 7.50 Mn |
| Mar 31, 2017 | 598.80 Mn |
| Dec 31, 2016 | 143.80 Mn |
| Jun 30, 2016 | 11.40 Mn |
| Mar 31, 2016 | 450.00 Mn |
| Dec 31, 2015 | 447.30 Mn |
| Jun 30, 2015 | -12.30 Mn |
| Sep 30, 2014 | 600,000.00 |
| Mar 31, 2014 | 4.50 Mn |
| Sep 30, 2013 | 25.00 Mn |
| Jun 30, 2013 | 4.80 Mn |
| Dec 31, 2012 | 18.20 Mn |
| Sep 30, 2012 | 8.00 Mn |
API Access
Coty 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=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "COTY", "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=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();