Rpm International (RPM) Gross Margin (2009 - 2026)
Rpm International (RPM) posted Gross Margin of 42.57% for fiscal Q4 2026 (quarter ended May 31, 2026), up 0.21 percentage points from 42.35% a year earlier and up 3.09 percentage points from the prior quarter.
Rpm International (RPM) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Rpm International's Gross Margin came in at 41.44%, up 0.06 percentage points from FY2025.
- Annual Gross Margin has increased for four consecutive fiscal years, with a five-year change of +2.05 percentage points (FY2021 to FY2026).
- In prior fiscal years, Rpm International's Gross Margin was 41.38% in FY2025 (+0.28 pp), 41.10% in FY2024 (+3.23 pp), 37.87% in FY2023 (+1.60 pp) and 36.27% in FY2022 (-3.12 pp).
- The fiscal Q4 2026 figure stands as the highest quarterly Gross Margin since fiscal Q4 2017.
- On a year-over-year basis, Gross Margin 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 Gross Margin in the past five years was fiscal Q3 2024, with a gain of 4.38 percentage points; the weakest was fiscal Q2 2022, with a drop of 3.91 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 39.48% (Q3 2026), 40.85% (Q2 2026) and 42.26% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.67% |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 36.14% |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 49.17% |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 32.77% |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 57.39% |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.21% |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 30.07% |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 46.61% |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 24.57% |
| 10 | Rpm International | 12.59 Bn | 11.37 Bn | 950.03 Mn | 42.57% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 42.57% |
| Feb 28, 2026 | 39.48% |
| Nov 30, 2025 | 40.85% |
| Aug 31, 2025 | 42.26% |
| May 31, 2025 | 42.35% |
| Feb 28, 2025 | 38.43% |
| Nov 30, 2024 | 41.43% |
| Aug 31, 2024 | 42.50% |
| May 31, 2024 | 41.36% |
| Feb 29, 2024 | 39.87% |
| Nov 30, 2023 | 41.75% |
| Aug 31, 2023 | 41.19% |
| May 31, 2023 | 38.45% |
| Feb 28, 2023 | 35.49% |
| Nov 30, 2022 | 38.53% |
| Aug 31, 2022 | 38.53% |
| May 31, 2022 | 37.22% |
| Feb 28, 2022 | 34.77% |
| Nov 30, 2021 | 35.54% |
| Aug 31, 2021 | 37.16% |
Rpm International Gross Margin 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=gross-margin&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();