Rpm International (RPM) Receivables (2010 - 2026)
Rpm International (RPM) posted Receivables of $1.52 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 3.1% from $1.47 billion a year earlier but down 8.6% from the prior quarter.
Rpm International (RPM) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Rpm International's Receivables came in at $1.66 billion, up 10.1% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- In prior fiscal years, Rpm International's Receivables was $1.51 billion in FY2025 (+6.3%), $1.42 billion in FY2024 (-5.6%), $1.5 billion in FY2023 (+4.9%) and $1.43 billion in FY2022 (+11.9%).
- Quarterly Receivables has run from a low of $1.07 billion in fiscal Q3 2024 to a high of $1.66 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last eight quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2023, with growth of 20.1%; the weakest was fiscal Q3 2024, with a decline of 10.9%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $1.66 billion (Q4 2026), $1.22 billion (Q3 2026) and $1.33 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 6.06 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 2.93 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 3.68 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 1.95 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 3.97 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 8.69 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 3.91 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 1.42 Bn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 8.48 Bn |
| 10 | Rpm International | 12.97 Bn | 11.73 Bn | 913.96 Mn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.52 Bn |
| May 31, 2026 | 1.66 Bn |
| Feb 28, 2026 | 1.22 Bn |
| Nov 30, 2025 | 1.33 Bn |
| Aug 31, 2025 | 1.47 Bn |
| May 31, 2025 | 1.51 Bn |
| Feb 28, 2025 | 1.11 Bn |
| Nov 30, 2024 | 1.29 Bn |
| Aug 31, 2024 | 1.34 Bn |
| May 31, 2024 | 1.42 Bn |
| Feb 29, 2024 | 1.07 Bn |
| Nov 30, 2023 | 1.23 Bn |
| Aug 31, 2023 | 1.42 Bn |
| May 31, 2023 | 1.50 Bn |
| Feb 28, 2023 | 1.20 Bn |
| Nov 30, 2022 | 1.34 Bn |
| Aug 31, 2022 | 1.41 Bn |
| May 31, 2022 | 1.43 Bn |
| Feb 28, 2022 | 1.09 Bn |
| Nov 30, 2021 | 1.17 Bn |
Rpm International Receivables 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=receivables&ticker=RPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();