Rpm International (RPM) Operating Expenses (2009 - 2026)
Rpm International's (RPM) quarterly Operating Expenses came in at $644.7 million in Q2 2026, up 7.52% year-over-year from $599.6 million in Q2 2025, and up 16.42% quarter-over-quarter from $553.7 million in Q1 2026.
Rpm International (RPM) Operating Expenses (2009 - 2026) Analysis & Trends
Rpm International (RPM) has reported Operating Expenses for 18 consecutive years, with $644.7 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 7.52% year-over-year to $644.7 million in Q2 2026; TTM through May 2026 was $2.3 billion, a 7.32% increase from a year earlier, with the FY2026 full-year figure at $2.3 billion, up 7.32% from the prior year.
- Operating Expenses was $644.7 million for Q2 2026 at Rpm International, up from $553.7 million in the prior quarter.
- Over five years, Operating Expenses peaked at $644.7 million in Q2 2026 and troughed at $434.7 million in Q1 2022.
- A 5-year average of $531.1 million and a median of $535.4 million in 2024 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses climbed 15.89% in 2022 and declined 1.16% in 2025, its largest moves.
- Over 5 years, Operating Expenses stood at $491.9 million in 2022, then climbed by 6.64% to $524.5 million in 2023, then gained by 2.45% to $537.4 million in 2024, then gained by 3.09% to $554.0 million in 2025, then grew by 16.37% to $644.7 million in 2026.
- The last three Operating Expenses figures came in at $644.7 million (Q2 2026), $553.7 million (Q1 2026), and $554.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Sherwin Williams | 78.03 Bn | 77.74 Bn | 3.34 Bn | 2.10 Bn |
| 2 | Ppg Industries | 23.33 Bn | 21.89 Bn | 1.81 Bn | 1.15 Bn |
| 3 | Rpm International | 12.64 Bn | 12.33 Bn | 950.03 Mn | 644.67 Mn |
| 4 | Axalta Coating Systems | 6.82 Bn | 6.23 Bn | 465.00 Mn | 231.00 Mn |
| 5 | Fuller H B | 2.67 Bn | 2.55 Bn | 319.65 Mn | 202.37 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 644.67 Mn |
| Feb 28, 2026 | 553.73 Mn |
| Nov 30, 2025 | 554.00 Mn |
| Aug 31, 2025 | 582.35 Mn |
| May 31, 2025 | 599.61 Mn |
| Feb 28, 2025 | 505.17 Mn |
| Nov 30, 2024 | 537.39 Mn |
| Aug 31, 2024 | 533.35 Mn |
| May 31, 2024 | 570.42 Mn |
| Feb 29, 2024 | 511.12 Mn |
| Nov 30, 2023 | 524.53 Mn |
| Aug 31, 2023 | 537.53 Mn |
| May 31, 2023 | 538.76 Mn |
| Feb 28, 2023 | 454.17 Mn |
| Nov 30, 2022 | 491.88 Mn |
| Aug 31, 2022 | 486.56 Mn |
| May 31, 2022 | 499.19 Mn |
| Feb 28, 2022 | 434.71 Mn |
| Nov 30, 2021 | 440.69 Mn |
| Aug 31, 2021 | 419.86 Mn |
Rpm International Operating Expenses 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=operating-expenses&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();