Calumet (CLMT) Change in Accured Expenses (2025 - 2026)
Calumet's Change in Accured Expenses came in at $7.4 million for Q2 2026, down 52.6% from $15.6 million a year earlier.
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Analysis
Calumet (CLMT) Change in Accured Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Calumet reported Change in Accured Expenses of -$8 million; for FY2025, it came in at $14.6 million.
- Change in Accured Expenses carries a three-year compound annual growth rate of 15.4% (FY2022 to FY2025).
- Going back by year, Change in Accured Expenses was -$5.2 million in FY2024, -$17.1 million in FY2023 and $9.5 million in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$21 million (Q1 2026) to $15.6 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 275.00 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 | 43.80 Mn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 272.00 Mn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 77.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | - |
| 10 | Calumet | 4.33 Bn | 4.11 Bn | 18.30 Mn | 7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.40 Mn |
| Mar 31, 2026 | -21.00 Mn |
| Jun 30, 2025 | 15.60 Mn |
| Mar 31, 2025 | -10.00 Mn |
API Access
Calumet Change in Accured Expenses 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=change-in-accured-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CLMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();