Rpm International (RPM) Total Non-Current Liabilities (2010 - 2026)
Rpm International's Total Non-Current Liabilities came in at $2.83 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 18.6% from $3.47 billion a year earlier and down 4.8% from the prior quarter.
Rpm International (RPM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Rpm International's Total Non-Current Liabilities was $2.97 billion, down 13.2% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $3.42 billion in FY2025 (+31.2%), $2.61 billion in FY2024 (-17.2%), $3.15 billion in FY2023 (+16.3%) and $2.71 billion in FY2022 (-14.8%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2025.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 8.1%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2023 (growth of 34.2%), and the weakest in fiscal Q3 2022 (a decline of 18.9%).
- Business Quant data shows RPM's Total Non-Current Liabilities at $2.97 billion (Q4 2026), $3.4 billion (Q3 2026) and $3.33 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 13.30 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 6.74 Bn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 35.57 Bn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 2.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.83 Bn |
| May 31, 2026 | 2.97 Bn |
| Feb 28, 2026 | 3.40 Bn |
| Nov 30, 2025 | 3.33 Bn |
| Aug 31, 2025 | 3.47 Bn |
| May 31, 2025 | 3.42 Bn |
| Feb 28, 2025 | 2.70 Bn |
| Nov 30, 2024 | 2.67 Bn |
| Aug 31, 2024 | 2.72 Bn |
| May 31, 2024 | 2.61 Bn |
| Feb 29, 2024 | 2.83 Bn |
| Nov 30, 2023 | 2.92 Bn |
| Aug 31, 2023 | 3.16 Bn |
| May 31, 2023 | 3.15 Bn |
| Feb 28, 2023 | 3.43 Bn |
| Nov 30, 2022 | 3.47 Bn |
| Aug 31, 2022 | 3.16 Bn |
| May 31, 2022 | 2.71 Bn |
| Feb 28, 2022 | 2.56 Bn |
| Nov 30, 2021 | 2.93 Bn |
Rpm International Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();