Coty (COTY) EBITDA (2012 - 2026)
Coty's EBITDA came in at $85.4 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 29.0% from $120.2 million a year earlier.
Analysis
Coty (COTY) EBITDA (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty's EBITDA was $400.7 million, down 39.4% from FY2025.
- EBITDA has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.7% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $661.1 million in FY2025 (-31.7%), $967.8 million in FY2024 (-0.3%), $970.4 million in FY2023 (+28.1%) and $757.3 million in FY2022 (+41.1%).
- The five-year range for quarterly EBITDA is -$242.9 million (fiscal Q3 2026) to $373.8 million (fiscal Q2 2025).
- Year-over-year, EBITDA increased in two of the last six quarters, with an average decline of 10.8%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2023 (growth of 380.6%), and the weakest in fiscal Q4 2022 (a decline of 67.2%).
- Business Quant data shows COTY's EBITDA at -$242.9 million (Q3 2026), $278.3 million (Q2 2026) and $279.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 368.09 Bn | 323.85 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 74.90 Bn | 69.62 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 37.73 Bn | 25.80 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 36.68 Bn | 32.30 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 35.58 Bn | 32.78 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn | 129.02 Mn |
| 9 | Reynolds Consumer Products | 4.78 Bn | 4.44 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Coty | 2.70 Bn | 1.56 Bn | 772.70 Mn | 85.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.40 Mn |
| Mar 31, 2026 | -242.90 Mn |
| Dec 31, 2025 | 278.30 Mn |
| Sep 30, 2025 | 279.90 Mn |
| Jun 30, 2025 | 120.20 Mn |
| Mar 31, 2025 | -175.30 Mn |
| Dec 31, 2024 | 373.80 Mn |
| Sep 30, 2024 | 342.40 Mn |
| Jun 30, 2024 | 139.20 Mn |
| Mar 31, 2024 | 182.20 Mn |
| Dec 31, 2023 | 342.10 Mn |
| Sep 30, 2023 | 304.30 Mn |
| Jun 30, 2023 | 237.90 Mn |
| Mar 31, 2023 | 150.90 Mn |
| Dec 31, 2022 | 303.10 Mn |
| Sep 30, 2022 | 278.50 Mn |
| Jun 30, 2022 | 49.50 Mn |
| Mar 31, 2022 | 179.00 Mn |
| Dec 31, 2021 | 373.80 Mn |
| Sep 30, 2021 | 155.00 Mn |
API Access
Coty EBITDA 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=ebitda&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();