Rpm International (RPM) Long-Term Debt Repayments (2009 - 2026)
Rpm International's Long-Term Debt Repayments came in at $123.57 million for FY2018 (year ended May 31, 2018), down 44.2% from $221.64 million in FY2017.
Powered by 
Analysis
Rpm International (RPM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
- Per Business Quant, earlier fiscal years put Long-Term Debt Repayments at $221.64 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | - |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 214.00 Mn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 276.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 276.45 Mn |
| May 31, 2026 | 55.37 Mn |
| Feb 28, 2026 | -83.02 Mn |
| Nov 30, 2025 | 221.54 Mn |
| Aug 31, 2025 | 14.97 Mn |
| May 31, 2025 | -127.37 Mn |
| Feb 28, 2025 | 2.36 Mn |
| Nov 30, 2024 | 2.21 Mn |
| Aug 31, 2024 | 131.81 Mn |
| May 31, 2024 | 59.32 Mn |
| Feb 29, 2024 | 66.60 Mn |
| Nov 30, 2023 | 256.40 Mn |
| Aug 31, 2023 | 193.09 Mn |
| May 31, 2023 | 1.33 Mn |
| Feb 28, 2023 | 2.34 Mn |
| Nov 30, 2022 | 276.53 Mn |
| Aug 31, 2022 | 75.26 Mn |
| May 31, 2022 | 29.01 Mn |
| Feb 28, 2022 | 71.76 Mn |
| Nov 30, 2021 | 262,000.00 |
API Access
Rpm International Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();