Rpm International (RPM) Total Liabilities (2010 - 2026)
Rpm International (RPM) posted Total Liabilities of $5.03 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 2.9% from $4.89 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Rpm International (RPM) Total Liabilities (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Rpm International has reported Total Liabilities for 65 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.2% (FY2021 to FY2026).
- In prior fiscal years, Rpm International's Total Liabilities was $4.89 billion in FY2025 (+20.0%), $4.07 billion in FY2024 (-12.2%), $4.64 billion in FY2023 (-1.8%) and $4.72 billion in FY2022 (+4.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2026, with growth of 22.2%; the weakest was fiscal Q2 2024, with a decline of 12.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $4.74 billion (Q3 2026), $4.74 billion (Q2 2026) and $4.89 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Rpm International | 12.59 Bn | 11.37 Bn | 950.03 Mn | 5.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.03 Bn |
| Feb 28, 2026 | 4.74 Bn |
| Nov 30, 2025 | 4.74 Bn |
| Aug 31, 2025 | 4.89 Bn |
| May 31, 2025 | 4.89 Bn |
| Feb 28, 2025 | 3.94 Bn |
| Nov 30, 2024 | 3.97 Bn |
| Aug 31, 2024 | 4.00 Bn |
| May 31, 2024 | 4.07 Bn |
| Feb 29, 2024 | 4.03 Bn |
| Nov 30, 2023 | 4.17 Bn |
| Aug 31, 2023 | 4.43 Bn |
| May 31, 2023 | 4.64 Bn |
| Feb 28, 2023 | 4.55 Bn |
| Nov 30, 2022 | 4.76 Bn |
| Aug 31, 2022 | 4.81 Bn |
| May 31, 2022 | 4.72 Bn |
| Feb 28, 2022 | 4.49 Bn |
| Nov 30, 2021 | 4.42 Bn |
| Aug 31, 2021 | 4.38 Bn |
API Access
Rpm International Total 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-liabilities&ticker=RPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();