Rpm International (RPM) Return on Sales [ROS] (2009 - 2026)
Rpm International (RPM) posted Return on Sales [ROS] of 13.68% for fiscal Q4 2026 (quarter ended May 31, 2026), up 0.13 percentage points from 13.55% a year earlier and up 8.64 percentage points from the prior quarter.
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Analysis
Rpm International (RPM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Rpm International's Return on Sales [ROS] came in at 11.74%, down 0.12 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -0.10 percentage points (FY2021 to FY2026).
- In prior fiscal years, Rpm International's Return on Sales [ROS] was 11.87% in FY2025 (-0.01 pp), 11.87% in FY2024 (+1.17 pp), 10.70% in FY2023 (+1.18 pp) and 9.52% in FY2022 (-2.32 pp).
- Quarterly Return on Sales [ROS] has run from a low of 4.22% in fiscal Q3 2025 to a high of 15.41% in fiscal Q1 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.12 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q2 2023, with a gain of 2.42 percentage points; the weakest was fiscal Q1 2022, with a drop of 4.05 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 5.04% (Q3 2026), 11.84% (Q2 2026) and 14.71% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Rpm International | 12.66 Bn | 11.44 Bn | 950.03 Mn | 13.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 13.68% |
| Feb 28, 2026 | 5.04% |
| Nov 30, 2025 | 11.84% |
| Aug 31, 2025 | 14.71% |
| May 31, 2025 | 13.55% |
| Feb 28, 2025 | 4.22% |
| Nov 30, 2024 | 12.31% |
| Aug 31, 2024 | 15.41% |
| May 31, 2024 | 12.96% |
| Feb 29, 2024 | 6.31% |
| Nov 30, 2023 | 12.48% |
| Aug 31, 2023 | 14.47% |
| May 31, 2023 | 11.72% |
| Feb 28, 2023 | 5.53% |
| Nov 30, 2022 | 11.08% |
| Aug 31, 2022 | 13.35% |
| May 31, 2022 | 12.06% |
| Feb 28, 2022 | 4.45% |
| Nov 30, 2021 | 8.66% |
| Aug 31, 2021 | 11.72% |
API Access
Rpm International 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=RPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RPM", "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=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();