Coty (COTY) Return on Sales [ROS] (2012 - 2026)
Coty's Return on Sales [ROS] came in at -3.36% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.60 percentage points from 1.24% a year earlier but up 25.66 percentage points from the prior quarter.
Powered by 
Analysis
Coty (COTY) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coty's Return on Sales [ROS] was -1.40%, down 5.49 percentage points from FY2025.
- Return on Sales [ROS] has declined in each of the last three fiscal years, with a five-year change of -0.35 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 4.09% in FY2025 (-4.84 pp), 8.94% in FY2024 (-0.85 pp), 9.79% in FY2023 (+5.25 pp) and 4.54% in FY2022 (+5.59 pp).
- The five-year range for quarterly Return on Sales [ROS] is -29.03% (fiscal Q3 2026) to 16.06% (fiscal Q2 2025).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -5.72 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2023 (a gain of 16.17 percentage points), and the weakest in fiscal Q3 2025 (a drop of 27.20 percentage points).
- Business Quant data shows COTY's Return on Sales [ROS] at -29.03% (Q3 2026), 8.83% (Q2 2026) and 11.73% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.61 Bn | 342.18 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 78.02 Bn | 72.50 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 41.23 Bn | 28.33 Bn | 2.81 Bn | 10.98% |
| 4 | Kimberly Clark | 37.22 Bn | 33.16 Bn | 1.44 Bn | 12.48% |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 6 | Church & Dwight | 26.32 Bn | 24.71 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 12.85 Bn | 11.11 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.23 Bn | 4.92 Bn | 236.00 Mn | 13.77% |
| 10 | Coty | 3.76 Bn | 2.68 Bn | 984.80 Mn | 10.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.96% |
| Jun 30, 2026 | -3.36% |
| Mar 31, 2026 | -29.03% |
| Dec 31, 2025 | 8.83% |
| Sep 30, 2025 | 11.73% |
| Jun 30, 2025 | 1.24% |
| Mar 31, 2025 | -21.58% |
| Dec 31, 2024 | 16.06% |
| Sep 30, 2024 | 14.23% |
| Jun 30, 2024 | 2.55% |
| Mar 31, 2024 | 5.61% |
| Dec 31, 2023 | 13.70% |
| Sep 30, 2023 | 12.03% |
| Jun 30, 2023 | 9.54% |
| Mar 31, 2023 | 3.37% |
| Dec 31, 2022 | 13.08% |
| Sep 30, 2022 | 12.37% |
| Jun 30, 2022 | -6.63% |
| Mar 31, 2022 | 4.81% |
| Dec 31, 2021 | 15.46% |
API Access
Coty Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=COTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=COTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();