Rpm International (RPM) Other Accumulated Expenses (2010 - 2026)
Rpm International's Other Accumulated Expenses came in at $391.25 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 7.9% from $424.83 million a year earlier and down 11.3% from the prior quarter.
Rpm International (RPM) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Rpm International's Other Accumulated Expenses was $441.15 million, up 16.2% from FY2025.
- Other Accumulated Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $379.77 million in FY2025 (+8.4%), $350.43 million in FY2024 (+0.9%), $347.48 million in FY2023 (+6.7%) and $325.63 million in FY2022 (unchanged).
- The five-year range for quarterly Other Accumulated Expenses is $311.97 million (fiscal Q3 2023) to $441.15 million (fiscal Q4 2026).
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 6.7%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q2 2023 (growth of 20.1%), and the weakest in fiscal Q1 2027 (a decline of 7.9%).
- Business Quant data shows RPM's Other Accumulated Expenses at $441.15 million (Q4 2026), $391.05 million (Q3 2026) and $393.87 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn |
| 10 | Rpm International | 12.59 Bn | 11.36 Bn | 913.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 391.25 Mn |
| May 31, 2026 | 441.15 Mn |
| Feb 28, 2026 | 391.05 Mn |
| Nov 30, 2025 | 393.87 Mn |
| Aug 31, 2025 | 424.83 Mn |
| May 31, 2025 | 379.77 Mn |
| Feb 28, 2025 | 346.75 Mn |
| Nov 30, 2024 | 365.78 Mn |
| Aug 31, 2024 | 369.06 Mn |
| May 31, 2024 | 350.43 Mn |
| Feb 29, 2024 | 349.02 Mn |
| Nov 30, 2023 | 358.23 Mn |
| Aug 31, 2023 | 378.60 Mn |
| May 31, 2023 | 347.48 Mn |
| Feb 28, 2023 | 311.97 Mn |
| Nov 30, 2022 | 383.66 Mn |
| Aug 31, 2022 | 367.92 Mn |
| May 31, 2022 | 325.63 Mn |
| Feb 28, 2022 | 323.85 Mn |
| Nov 30, 2021 | 319.54 Mn |
Rpm International Other Accumulated 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=other-accumulated-expenses&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();