Kaiser Aluminum (KALU) Operating Expenses (2009 - 2026)
Kaiser Aluminum's Operating Expenses came in at $1.12 billion for Q2 2026, up 43.0% from $785.1 million a year earlier and up 11.3% from the prior quarter.
Kaiser Aluminum (KALU) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kaiser Aluminum reported Operating Expenses of $3.8 billion, up 27.2% year-over-year; for FY2025, it came in at $3.18 billion, up 9.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.91 billion in FY2024 (-1.8%), $2.96 billion in FY2023 (-13.4%), $3.42 billion in FY2022 (+33.9%) and $2.56 billion in FY2021 (+134.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 15.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 211.6%), and the weakest in Q2 2023 (a decline of 18.6%).
- Business Quant data shows KALU's Operating Expenses at $1.01 billion (Q1 2026), $868.4 million (Q4 2025) and $794.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | -780.00 Mn |
| 10 | Kaiser Aluminum | 1.87 Bn | 1.75 Bn | 199.00 Mn | 1.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 868.40 Mn |
| Sep 30, 2025 | 794.70 Mn |
| Jun 30, 2025 | 785.10 Mn |
| Mar 31, 2025 | 736.00 Mn |
| Dec 31, 2024 | 726.90 Mn |
| Sep 30, 2024 | 734.50 Mn |
| Jun 30, 2024 | 737.20 Mn |
| Mar 31, 2024 | 713.20 Mn |
| Dec 31, 2023 | 673.30 Mn |
| Sep 30, 2023 | 724.50 Mn |
| Jun 30, 2023 | 778.20 Mn |
| Mar 31, 2023 | 788.50 Mn |
| Dec 31, 2022 | 798.20 Mn |
| Sep 30, 2022 | 745.90 Mn |
| Jun 30, 2022 | 956.20 Mn |
| Mar 31, 2022 | 923.60 Mn |
| Dec 31, 2021 | 789.80 Mn |
| Sep 30, 2021 | 730.80 Mn |
Kaiser Aluminum Operating 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=operating-expenses&ticker=KALU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KALU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=KALU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();