Calumet (CLMT) Other Accumulated Expenses (2023 - 2026)
Calumet's Other Accumulated Expenses came in at $109.2 million for Q2 2026, up 6.6% from $102.4 million a year earlier and up 18.7% from the prior quarter.
Calumet (CLMT) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Calumet's Other Accumulated Expenses was $103 million, up 126.9% from FY2024.
- Going back by year, Other Accumulated Expenses was $45.4 million in FY2024 (-6.8%) and $48.7 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Other Accumulated Expenses increased in four of the last six quarters, with growth averaging 23.3%.
- Business Quant data shows CLMT's Other Accumulated Expenses at $92 million (Q1 2026), $103 million (Q4 2025) and $94.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn |
| 10 | Calumet | 4.86 Bn | 4.64 Bn | 18.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.20 Mn |
| Mar 31, 2026 | 92.00 Mn |
| Dec 31, 2025 | 103.00 Mn |
| Sep 30, 2025 | 94.40 Mn |
| Jun 30, 2025 | 102.40 Mn |
| Mar 31, 2025 | 94.90 Mn |
| Dec 31, 2024 | 45.40 Mn |
| Sep 30, 2024 | 85.40 Mn |
| Jun 30, 2024 | 97.10 Mn |
| Dec 31, 2023 | 48.70 Mn |
Calumet Other Accumulated 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=other-accumulated-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();