Rpm International (RPM) Tax Provisions (2009 - 2026)
Rpm International (RPM) recorded Tax Provisions of $80.43 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 14.6% from $70.21 million a year earlier and up 14.2% from the prior quarter.
Rpm International (RPM) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Rpm International's Tax Provisions came in at $218.08 million as of Aug 31, 2026, up 96.9% year-over-year; for FY2026 (ended May 31, 2026), it was $207.86 million, up 102.9% from FY2025.
- Annual Tax Provisions has a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $102.43 million in FY2025 (-48.4%), $198.4 million in FY2024 (+16.9%), $169.65 million in FY2023 (+48.4%) and $114.33 million in FY2022 (-30.7%).
- The fiscal Q1 2027 figure is the highest quarterly Tax Provisions since fiscal Q3 2015.
- On a year-over-year basis, Tax Provisions rose in four of the last six quarters, with growth averaging 34.7%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 214.9% in fiscal Q4 2026, against a decline of 61.7% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $70.44 million (Q4 2026), $17.69 million (Q3 2026) and $49.52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -515.40 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 236.00 Mn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 382.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 127.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 31.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 69.00 Mn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 80.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 80.43 Mn |
| May 31, 2026 | 70.44 Mn |
| Feb 28, 2026 | 17.69 Mn |
| Nov 30, 2025 | 49.52 Mn |
| Aug 31, 2025 | 70.21 Mn |
| May 31, 2025 | 22.37 Mn |
| Feb 28, 2025 | -11.36 Mn |
| Nov 30, 2024 | 29.53 Mn |
| Aug 31, 2024 | 61.90 Mn |
| May 31, 2024 | 58.44 Mn |
| Feb 29, 2024 | 22.10 Mn |
| Nov 30, 2023 | 50.01 Mn |
| Aug 31, 2023 | 67.84 Mn |
| May 31, 2023 | 54.97 Mn |
| Feb 28, 2023 | 15.25 Mn |
| Nov 30, 2022 | 43.59 Mn |
| Aug 31, 2022 | 55.84 Mn |
| May 31, 2022 | 22.37 Mn |
| Feb 28, 2022 | 7.25 Mn |
| Nov 30, 2021 | 38.04 Mn |
Rpm International Tax Provisions 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=tax-provisions&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();