Wd 40 (WDFC) Return on Sales [ROS] (2010 - 2026)
Wd 40 (WDFC) recorded Return on Sales [ROS] of 20.67% in fiscal Q3 2026 (quarter ended May 31, 2026), up 3.23 percentage points from 17.44% a year earlier and up 4.41 percentage points from the prior quarter.
Wd 40 (WDFC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Wd 40's Return on Sales [ROS] came in at 17.48% as of May 31, 2026, up 1.18 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 16.74%, up 0.43 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -2.16 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 16.32% in FY2024 (-0.39 pp), 16.70% in FY2023 (-0.13 pp), 16.83% in FY2022 (-1.37 pp) and 18.20% in FY2021 (-0.70 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q1 2021.
- 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 +0.35 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.16 percentage points in fiscal Q4 2022, against a drop of 11.14 percentage points in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 16.26% (Q2 2026), 15.06% (Q1 2026) and 17.14% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 383.82 Bn | 335.63 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 77.64 Bn | 72.70 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 39.02 Bn | 27.10 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 38.19 Bn | 33.81 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 37.36 Bn | 34.68 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 25.82 Bn | 24.35 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 10.72 Bn | 9.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.98 Bn | 4.64 Bn | 245.00 Mn | 14.62% |
| 10 | Wd 40 | 2.82 Bn | 2.61 Bn | 110.42 Mn | 20.67% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.67% |
| Feb 28, 2026 | 16.26% |
| Nov 30, 2025 | 15.06% |
| Aug 31, 2025 | 17.14% |
| May 31, 2025 | 17.44% |
| Feb 28, 2025 | 15.93% |
| Nov 30, 2024 | 16.37% |
| Aug 31, 2024 | 15.42% |
| May 31, 2024 | 17.53% |
| Feb 29, 2024 | 15.05% |
| Nov 30, 2023 | 17.22% |
| Aug 31, 2023 | 16.54% |
| May 31, 2023 | 18.10% |
| Feb 28, 2023 | 17.02% |
| Nov 30, 2022 | 14.96% |
| Aug 31, 2022 | 14.98% |
| May 31, 2022 | 15.35% |
| Feb 28, 2022 | 19.04% |
| Nov 30, 2021 | 17.86% |
| Aug 31, 2021 | 10.82% |
Wd 40 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=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WDFC", "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=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();