Clorox (CLX) Return on Sales [ROS] (2009 - 2026)
Clorox (CLX) recorded Return on Sales [ROS] of 23.67% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.31 percentage points from 20.36% a year earlier but down 0.66 percentage points from the prior quarter.
Clorox (CLX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Clorox's Return on Sales [ROS] came in at 25.32% as of Sep 30, 2026, down 0.73 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 24.73%, down 2.97 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -3.14 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 27.70% in FY2025 (+2.96 pp), 24.74% in FY2024 (+3.26 pp), 21.48% in FY2023 (+0.95 pp) and 20.53% in FY2022 (-7.34 pp).
- Quarterly Return on Sales [ROS] has ranged from 16.38% in fiscal Q1 2024 to 30.64% in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -0.83 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.72 percentage points in fiscal Q1 2025, against a drop of 11.93 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 24.33% (Q4 2026), 27.90% (Q3 2026) and 25.76% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 10.98% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 12.48% |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 10.38% |
| 10 | Bath & Body Works | 4.38 Bn | 2.17 Bn | 692.00 Mn | 14.27% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.67% |
| Jun 30, 2026 | 24.33% |
| Mar 31, 2026 | 27.90% |
| Dec 31, 2025 | 25.76% |
| Sep 30, 2025 | 20.36% |
| Jun 30, 2025 | 29.98% |
| Mar 31, 2025 | 26.98% |
| Dec 31, 2024 | 25.33% |
| Sep 30, 2024 | 28.09% |
| Jun 30, 2024 | 30.64% |
| Mar 31, 2024 | 23.87% |
| Dec 31, 2023 | 25.73% |
| Sep 30, 2023 | 16.38% |
| Jun 30, 2023 | 24.52% |
| Mar 31, 2023 | 23.71% |
| Dec 31, 2022 | 17.78% |
| Sep 30, 2022 | 19.14% |
| Jun 30, 2022 | 21.65% |
| Mar 31, 2022 | 21.28% |
| Dec 31, 2021 | 16.74% |
Clorox 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=CLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CLX", "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=CLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();