Coty (COTY) Shares Outstanding (2012 - 2026)
Coty's Shares Outstanding came in at 877.4 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.7% from 870.9 million a year earlier but down 0.3% from the prior quarter.
Coty (COTY) Shares Outstanding (2012 - 2026) Analysis & Trends
Going back to fiscal Q1 2013, Coty's Shares Outstanding data covers 56 quarters.
- Shares Outstanding carries a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 870.9 million in FY2025 (-0.4%), 874.4 million in FY2024 (+3.0%), 849 million in FY2023 (+3.5%) and 820.6 million in FY2022 (+7.3%).
- The five-year range for quarterly Shares Outstanding is 777.6 million (fiscal Q1 2022) to 892.8 million (fiscal Q2 2024).
- Year-over-year, Shares Outstanding has increased for four consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q3 2022 (growth of 9.5%), and the weakest in fiscal Q2 2025 (a decline of 2.4%).
- Business Quant data shows COTY's Shares Outstanding at 879.9 million (Q3 2026), 876.8 million (Q2 2026) and 872.8 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 2.33 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 799.40 Mn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.92 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 362.30 Mn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 332.40 Mn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 236.70 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 121.78 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 59.14 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 210.60 Mn |
| 10 | Coty | 2.37 Bn | 1.41 Bn | 772.70 Mn | 877.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 877.40 Mn |
| Mar 31, 2026 | 879.90 Mn |
| Dec 31, 2025 | 876.80 Mn |
| Sep 30, 2025 | 872.80 Mn |
| Jun 30, 2025 | 870.90 Mn |
| Mar 31, 2025 | 872.10 Mn |
| Dec 31, 2024 | 871.40 Mn |
| Sep 30, 2024 | 867.90 Mn |
| Jun 30, 2024 | 874.40 Mn |
| Mar 31, 2024 | 883.10 Mn |
| Dec 31, 2023 | 892.80 Mn |
| Sep 30, 2023 | 854.30 Mn |
| Jun 30, 2023 | 849.00 Mn |
| Mar 31, 2023 | 851.60 Mn |
| Dec 31, 2022 | 850.80 Mn |
| Sep 30, 2022 | 842.00 Mn |
| Jun 30, 2022 | 820.60 Mn |
| Mar 31, 2022 | 838.40 Mn |
| Dec 31, 2021 | 829.10 Mn |
| Sep 30, 2021 | 777.60 Mn |
Coty Shares Outstanding 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=shares-outstanding&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();