Rpm International (RPM) Cost of Revenue (2009 - 2026)
Rpm International's Cost of Revenue was $1.3 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 6.6% from $1.22 billion a year earlier and up 1.5% from the prior quarter.
Rpm International (RPM) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rpm International's Cost of Revenue was $4.69 billion through Aug 31, 2026, up 6.3% year-over-year; for FY2026 (ended May 31, 2026), it came in at $4.61 billion, up 6.5% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 4.5% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $4.32 billion in FY2025 (unchanged), $4.32 billion in FY2024 (-4.2%), $4.51 billion in FY2023 (+5.5%) and $4.27 billion in FY2022 (+15.5%).
- The fiscal Q1 2027 figure marks the highest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- Compared with a year earlier, Cost of Revenue has increased for six straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2022 (growth of 18.5%); the worst was fiscal Q3 2024 (a decline of 6.4%).
- Per Business Quant data, RPM's Cost of Revenue in the three fiscal quarters before Q1 2027 was $1.28 billion (Q4 2026), $973.13 million (Q3 2026) and $1.13 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 4.86 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 2.88 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 3.45 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 2.13 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 7.14 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 7.36 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 2.69 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 1.10 Bn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 9.89 Bn |
| 10 | Rpm International | 12.59 Bn | 11.36 Bn | 913.96 Mn | 1.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.30 Bn |
| May 31, 2026 | 1.28 Bn |
| Feb 28, 2026 | 973.13 Mn |
| Nov 30, 2025 | 1.13 Bn |
| Aug 31, 2025 | 1.22 Bn |
| May 31, 2025 | 1.20 Bn |
| Feb 28, 2025 | 909.07 Mn |
| Nov 30, 2024 | 1.08 Bn |
| Aug 31, 2024 | 1.13 Bn |
| May 31, 2024 | 1.18 Bn |
| Feb 29, 2024 | 915.82 Mn |
| Nov 30, 2023 | 1.04 Bn |
| Aug 31, 2023 | 1.18 Bn |
| May 31, 2023 | 1.24 Bn |
| Feb 28, 2023 | 978.14 Mn |
| Nov 30, 2022 | 1.10 Bn |
| Aug 31, 2022 | 1.19 Bn |
| May 31, 2022 | 1.25 Bn |
| Feb 28, 2022 | 935.29 Mn |
| Nov 30, 2021 | 1.06 Bn |
Rpm International Cost of Revenue 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=cost-of-revenue&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();