Rpm International (RPM) EBITDA (2009 - 2026)
Rpm International (RPM) reported EBITDA of $363.05 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 8.1% from $335.91 million a year earlier and up 172.2% from the prior quarter.
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Analysis
Rpm International (RPM) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Rpm International posted EBITDA of $1.14 billion, up 6.4% from FY2025.
- EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.07 billion in FY2025 (+2.5%), $1.04 billion in FY2024 (+11.9%), $931.49 million in FY2023 (+17.7%) and $791.57 million in FY2022 (-9.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 4.0% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2023 (growth of 31.6%); the low point was fiscal Q3 2025 (a decline of 20.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $133.38 million (Q3 2026), $278.21 million (Q2 2026) and $362.33 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | -1.71 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 2.40 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 1.89 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 3.69 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 465.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 264.00 Mn |
| 10 | Rpm International | 12.59 Bn | 11.37 Bn | 950.03 Mn | 363.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 363.05 Mn |
| Feb 28, 2026 | 133.38 Mn |
| Nov 30, 2025 | 278.21 Mn |
| Aug 31, 2025 | 362.33 Mn |
| May 31, 2025 | 335.91 Mn |
| Feb 28, 2025 | 109.67 Mn |
| Nov 30, 2024 | 273.71 Mn |
| Aug 31, 2024 | 349.51 Mn |
| May 31, 2024 | 304.76 Mn |
| Feb 29, 2024 | 138.52 Mn |
| Nov 30, 2023 | 264.34 Mn |
| Aug 31, 2023 | 334.63 Mn |
| May 31, 2023 | 276.16 Mn |
| Feb 28, 2023 | 122.30 Mn |
| Nov 30, 2022 | 236.85 Mn |
| Aug 31, 2022 | 296.33 Mn |
| May 31, 2022 | 278.09 Mn |
| Feb 28, 2022 | 102.20 Mn |
| Nov 30, 2021 | 179.96 Mn |
| Aug 31, 2021 | 231.44 Mn |
API Access
Rpm International EBITDA 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=ebitda&ticker=RPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();