Coty (COTY) Return on Assets [ROA] (2013 - 2026)
Coty (COTY) reported Return on Assets [ROA] of -5.78% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.78 percentage points from -3.00% a year earlier and down 0.92 percentage points from the prior quarter.
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Analysis
Coty (COTY) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty posted Return on Assets [ROA] of -5.34%, down 2.42 percentage points from FY2025.
- Return on Assets [ROA] has declined for three consecutive fiscal years, with a five-year change of -3.99 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at -2.92% in FY2025 (-3.80 pp), 0.88% in FY2024 (-3.34 pp), 4.22% in FY2023 (+2.15 pp) and 2.07% in FY2022 (+3.42 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since fiscal Q2 2021.
- Year over year, Return on Assets [ROA] has now declined in each of the last nine quarters, with an average year-over-year change of -3.35 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q2 2022 (a gain of 8.99 percentage points); the low point was fiscal Q3 2025 (a drop of 5.14 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -4.85% (Q3 2026), -4.44% (Q2 2026) and -3.06% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.61 Bn | 342.18 Bn | 11.60 Bn | 12.42% |
| 2 | Colgate Palmolive | 78.02 Bn | 72.50 Bn | 3.23 Bn | 12.97% |
| 3 | Estee Lauder Companies | 41.23 Bn | 28.33 Bn | 2.81 Bn | 1.85% |
| 4 | Kimberly Clark | 37.22 Bn | 33.16 Bn | 1.44 Bn | 18.39% |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 6.33% |
| 6 | Church & Dwight | 26.32 Bn | 24.71 Bn | 749.40 Mn | 8.40% |
| 7 | Clorox | 12.85 Bn | 11.11 Bn | 770.00 Mn | 8.86% |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 3.45% |
| 9 | Reynolds Consumer Products | 5.23 Bn | 4.92 Bn | 236.00 Mn | 10.01% |
| 10 | Coty | 3.76 Bn | 2.68 Bn | 984.80 Mn | -5.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -5.37% |
| Jun 30, 2026 | -5.78% |
| Mar 31, 2026 | -4.85% |
| Dec 31, 2025 | -4.44% |
| Sep 30, 2025 | -3.06% |
| Jun 30, 2025 | -3.00% |
| Mar 31, 2025 | -3.25% |
| Dec 31, 2024 | 0.28% |
| Sep 30, 2024 | 1.54% |
| Jun 30, 2024 | 0.90% |
| Mar 31, 2024 | 1.90% |
| Dec 31, 2023 | 2.68% |
| Sep 30, 2023 | 3.16% |
| Jun 30, 2023 | 4.13% |
| Mar 31, 2023 | 1.65% |
| Dec 31, 2022 | 1.24% |
| Sep 30, 2022 | 1.44% |
| Jun 30, 2022 | 2.11% |
| Mar 31, 2022 | 2.67% |
| Dec 31, 2021 | 2.29% |
API Access
Coty Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();