Rpm International (RPM) Operating Expenses (2009 - 2026)
Rpm International (RPM) recorded Operating Expenses of $564.93 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 3.0% from $582.35 million a year earlier and down 12.4% from the prior quarter.
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Analysis
Rpm International (RPM) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Rpm International's Operating Expenses came in at $2.32 billion as of Aug 31, 2026, up 4.2% year-over-year; for FY2026 (ended May 31, 2026), it was $2.33 billion, up 7.3% from FY2025.
- Annual Operating Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $2.18 billion in FY2025 (+1.5%), $2.14 billion in FY2024 (+8.7%), $1.97 billion in FY2023 (+9.9%) and $1.79 billion in FY2022 (+6.7%).
- Quarterly Operating Expenses has ranged from $434.71 million in fiscal Q3 2022 to $644.67 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 15.9% in fiscal Q1 2023, against a decline of 3.0% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $644.67 million (Q4 2026), $553.73 million (Q3 2026) and $554 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 1.15 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 613.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 1.25 Bn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 564.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 564.93 Mn |
| 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 |
API Access
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_KEYimport 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();