Rpm International (RPM) Restructuring Costs (2013 - 2026)
Rpm International (RPM) recorded Restructuring Costs of $5.16 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 41.5% from $8.81 million a year earlier and down 45.2% from the prior quarter.
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Analysis
Rpm International (RPM) Restructuring Costs (2013 - 2026) Analysis & Trends
On a TTM basis, Rpm International's Restructuring Costs came in at $38.96 million as of Aug 31, 2026, up 46.5% year-over-year; for FY2026 (ended May 31, 2026), it was $42.61 million, up 70.6% from FY2025.
- Annual Restructuring Costs has a five-year compound annual growth rate of 18.7% (FY2021 to FY2026).
- Across earlier fiscal years, Restructuring Costs came in at $24.98 million in FY2025 (-16.8%), $30.01 million in FY2024 (+94.0%), $15.47 million in FY2023 (+146.4%) and $6.28 million in FY2022 (-65.3%).
- Quarterly Restructuring Costs has ranged from $1.14 million in fiscal Q3 2022 to $19.86 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in four of the last eight quarters, with growth averaging 107.7%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 656.5% in fiscal Q4 2023, against a decline of 80.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.41 million (Q4 2026), $19.86 million (Q3 2026) and $4.53 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn |
| 10 | Rpm International | 12.87 Bn | 11.63 Bn | 913.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 5.16 Mn |
| May 31, 2026 | 9.41 Mn |
| Feb 28, 2026 | 19.86 Mn |
| Nov 30, 2025 | 4.53 Mn |
| Aug 31, 2025 | 8.81 Mn |
| May 31, 2025 | 6.76 Mn |
| Feb 28, 2025 | 3.46 Mn |
| Nov 30, 2024 | 7.56 Mn |
| Aug 31, 2024 | 7.20 Mn |
| May 31, 2024 | 15.91 Mn |
| Feb 29, 2024 | 6.36 Mn |
| Nov 30, 2023 | 1.24 Mn |
| Aug 31, 2023 | 6.50 Mn |
| May 31, 2023 | 8.69 Mn |
| Feb 28, 2023 | 4.15 Mn |
| Nov 30, 2022 | 1.27 Mn |
| Aug 31, 2022 | 1.35 Mn |
| May 31, 2022 | 1.15 Mn |
| Feb 28, 2022 | 1.14 Mn |
| Nov 30, 2021 | 2.98 Mn |
API Access
Rpm International Restructuring Costs 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=restructuring-costs&ticker=RPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();