Calumet (CLMT) Non Operating Interest Expenses (2023 - 2026)
Calumet's Non Operating Interest Expenses came in at $52 million for Q2 2026, down 1.7% from $52.9 million a year earlier but up 1.8% from the prior quarter.
Calumet (CLMT) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Calumet reported Non Operating Interest Expenses of $207.5 million, down 10.0% year-over-year; for FY2025, it was $215.8 million, down 8.8% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of 7.1% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $236.7 million in FY2024 (+6.8%), $221.7 million in FY2023 (+26.0%) and $175.9 million in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is $50.8 million (Q4 2025) to $61.4 million (Q4 2024).
- Year-over-year, Non Operating Interest Expenses has declined for six consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2024 (growth of 5.9%), and the weakest in Q4 2025 (a decline of 17.3%).
- Business Quant data shows CLMT's Non Operating Interest Expenses at $51.1 million (Q1 2026), $50.8 million (Q4 2025) and $53.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.01 Bn | 216.59 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 106.95 Bn | 99.52 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 83.90 Bn | 82.94 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 68.11 Bn | 63.30 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 41.06 Bn | 30.57 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.22 Bn | 30.05 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Ppg Industries | 25.07 Bn | 17.73 Bn | 1.81 Bn | 71.00 Mn |
| 8 | International Flavors & Fragrances | 23.55 Bn | 21.21 Bn | 853.00 Mn | 46.00 Mn |
| 9 | Qnity Electronics | 22.87 Bn | 20.01 Bn | 666.00 Mn | 61.00 Mn |
| 10 | Calumet | 4.43 Bn | 3.96 Bn | 18.30 Mn | 52.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.00 Mn |
| Mar 31, 2026 | 51.10 Mn |
| Dec 31, 2025 | 50.80 Mn |
| Sep 30, 2025 | 53.60 Mn |
| Jun 30, 2025 | 52.90 Mn |
| Mar 31, 2025 | 58.50 Mn |
| Dec 31, 2024 | 61.40 Mn |
| Sep 30, 2024 | 57.70 Mn |
| Jun 30, 2024 | 56.80 Mn |
| Mar 31, 2024 | 60.80 Mn |
| Dec 31, 2023 | 58.00 Mn |
| Sep 30, 2023 | 58.70 Mn |
| Jun 30, 2023 | 55.80 Mn |
Calumet Non Operating Interest 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=non-operating-interest-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CLMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();