Rpm International (RPM) EBITDA (2009 - 2026)
Rpm International (RPM) reported EBITDA of $402.11 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 11.0% from $362.33 million a year earlier and up 10.8% from the prior quarter.
Rpm International (RPM) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Rpm International's EBITDA came in at $1.18 billion, up 8.8% year-over-year; for FY2026 (ended May 31, 2026), it was $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 Q1 2027 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 six quarters, with growth averaging 4.9% 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 Q1 2027 came in at $363.05 million (Q4 2026), $133.38 million (Q3 2026) and $278.21 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 1.89 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 2.38 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 796.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 376.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 1.59 Bn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 402.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 402.11 Mn |
| 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 |
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_KEY
import 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();