Coty (COTY) Return on Capital Employed [ROCE] (2013 - 2026)
Coty's Return on Capital Employed [ROCE] came in at -1.06% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.70 percentage points from 2.63% a year earlier and down 0.78 percentage points from the prior quarter.
Coty (COTY) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty's Return on Capital Employed [ROCE] was -0.96%, down 3.51 percentage points from FY2025.
- Return on Capital Employed [ROCE] has declined in each of the last three fiscal years, with a five-year change of -0.58 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 2.55% in FY2025 (-3.05 pp), 5.60% in FY2024 (-0.04 pp), 5.63% in FY2023 (+3.30 pp) and 2.33% in FY2022 (+2.71 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2021.
- Year-over-year, Return on Capital Employed [ROCE] has declined for six consecutive quarters, with an average year-over-year change of -2.80 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q2 2022 (a gain of 12.19 percentage points), and the weakest in fiscal Q2 2026 (a drop of 5.82 percentage points).
- Business Quant data shows COTY's Return on Capital Employed [ROCE] at -0.28% (Q3 2026), 0.78% (Q2 2026) and 2.00% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.61 Bn | 342.18 Bn | 11.60 Bn | 23.37% |
| 2 | Colgate Palmolive | 78.02 Bn | 72.50 Bn | 3.23 Bn | 31.20% |
| 3 | Estee Lauder Companies | 41.23 Bn | 28.33 Bn | 2.81 Bn | 7.49% |
| 4 | Kimberly Clark | 37.22 Bn | 33.16 Bn | 1.44 Bn | 21.00% |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 13.21% |
| 6 | Church & Dwight | 26.32 Bn | 24.71 Bn | 749.40 Mn | 15.26% |
| 7 | Clorox | 12.85 Bn | 11.11 Bn | 770.00 Mn | 37.50% |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 8.06% |
| 9 | Reynolds Consumer Products | 5.23 Bn | 4.92 Bn | 236.00 Mn | 12.41% |
| 10 | Coty | 3.76 Bn | 2.68 Bn | 984.80 Mn | -1.30% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.30% |
| Jun 30, 2026 | -1.06% |
| Mar 31, 2026 | -0.28% |
| Dec 31, 2025 | 0.78% |
| Sep 30, 2025 | 2.00% |
| Jun 30, 2025 | 2.63% |
| Mar 31, 2025 | 2.82% |
| Dec 31, 2024 | 6.60% |
| Sep 30, 2024 | 6.08% |
| Jun 30, 2024 | 5.69% |
| Mar 31, 2024 | 6.29% |
| Dec 31, 2023 | 6.09% |
| Sep 30, 2023 | 5.80% |
| Jun 30, 2023 | 5.47% |
| Mar 31, 2023 | 3.43% |
| Dec 31, 2022 | 3.78% |
| Sep 30, 2022 | 4.20% |
| Jun 30, 2022 | 2.38% |
| Mar 31, 2022 | 3.15% |
| Dec 31, 2021 | 2.41% |
Coty Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=COTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();