Calumet, Inc. /DE (CLMT) Form 8-K — Aug 7, 2026
Calumet, Inc. (NASDAQ: CLMT) reported second quarter 2026 results on August 7, 2026, posting a net loss of $95.9 million, or $(1.09) per basic share, driven by $163.6 million of non-cash RINs and other mark-to-market items. Quarterly sales rose to $1,445.1 million from $1,026.6 million a year earlier. Adjusted EBITDA nearly tripled year over year to $159.3 million, or $175.2 million including tax attributes, up from $55.1 million and $76.5 million respectively.
Key figures
- Revenue
- $1,445.1 million (Q2 2026 sales, vs. $1,026.6 million in Q2 2025)
- Net Income
- -$95.9 million (Q2 2026, vs. -$147.9 million in Q2 2025)
- Total Debt
- $2,258.7 million ($33.5 million current portion + $2,225.2 million long-term)
- Revenue Yoy
- +40.8% (computed from stated Q2 2026 vs. Q2 2025 sales)
- Total Assets
- $2,802.8 million
- Cash Position
- $109.8 million
- Adjusted EBITDA
- $159.3 million (vs. $55.1 million Q2 2025)
- Six Month Net Loss
- -$412.9 million
- Non Cash RINs Expense
- $163.6 million
- Stockholders Equity
- -$1,137.1 million
- Debt Retired July2026
- $115 million
- Total Sales Volume Bpd
- 87722
- Current RINs Obligation
- $480.2 million
- Corporate Adjusted EBITDA
- -$19.4 million
- Notes2028 Mirror Redeemed
- $100 million of 9.75% Senior Notes due 2028 at 102.438% of principal
- Sps Segment Adjusted EBITDA
- $161.7 million (vs. $66.8 million Q2 2025)
- Unrealized Derivative Gain
- $9.0 million
- Six Month Operating Cash Flow
- $6.1 million
- Total Facility Production Bpd
- 83191
- Renewable Fuels Production Bpd
- 7,011 (vs. 12,044 Q2 2025)
- Adjusted EBITDAWith Tax Attributes
- $175.2 million (vs. $76.5 million Q2 2025)
- Performance Brands Adjusted EBITDA
- $6.3 million (vs. $13.5 million Q2 2025)
- Montana Terminal Financing Repayment
- $15.5 million
- Montana Renewables Adjusted EBITDAWith Tax Attributes
- $26.6 million (vs. $16.3 million Q2 2025)
Price after filing
Close on the filing date to close N calendar days later (from $40.26). Historical, not a forecast.
AI analysis
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