Coty (COTY) Gains from Sales and Divestitures (2016 - 2022)
Coty's Gains from Sales and Divestitures came in at $6.1 million for FY2022 (year ended Jun 30, 2022), compared with -$246.4 million in FY2021.
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Analysis
Coty (COTY) Gains from Sales and Divestitures (2016 - 2022) Analysis & Trends
Going back to FY2013, Coty's Gains from Sales and Divestitures data covers 8 fiscal years.
- Gains from Sales and Divestitures carries a five-year compound annual growth rate of 14.5% (FY2017 to FY2022).
- The five-year range for annual Gains from Sales and Divestitures is -$246.4 million (FY2021) to $111.5 million (FY2020).
- Per Business Quant, earlier fiscal years put Gains from Sales and Divestitures at -$246.4 million in FY2021, $111.5 million in FY2020 and -$28.6 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Coty | 2.33 Bn | 1.37 Bn | 772.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 1.30 Mn |
| Jun 30, 2021 | 200,000.00 |
| Mar 31, 2021 | -27.50 Mn |
| Dec 31, 2020 | -219.10 Mn |
| Jun 30, 2020 | 27.00 Mn |
| Sep 30, 2019 | 84.50 Mn |
| Jun 30, 2016 | 24.80 Mn |
API Access
Coty Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();