Century Aluminum (CENX) Operating Expenses (2010 - 2026)
Century Aluminum (CENX) reported Operating Expenses of $15.9 million for Q2 2026, up 13.6% from $14 million a year earlier but down 38.4% from the prior quarter.
Century Aluminum (CENX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Century Aluminum's Operating Expenses came in at $95.1 million, up 67.1% year-over-year; for FY2025, it was $79.9 million, up 40.7% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $56.8 million in FY2024 (+28.2%), $44.3 million in FY2023 (+18.1%), $37.5 million in FY2022 (-34.9%) and $57.6 million in FY2021 (+32.4%).
- Five-year quarterly Operating Expenses spans a low of $5.8 million in Q2 2022 and a high of $35.5 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 50.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 139.9%); the low point was Q4 2022 (a decline of 39.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.8 million (Q1 2026), $35.5 million (Q4 2025) and $17.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Century Aluminum | 3.70 Bn | 2.96 Bn | 227.90 Mn | 15.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.90 Mn |
| Mar 31, 2026 | 25.80 Mn |
| Dec 31, 2025 | 35.50 Mn |
| Sep 30, 2025 | 17.90 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 12.50 Mn |
| Dec 31, 2024 | 14.80 Mn |
| Sep 30, 2024 | 15.60 Mn |
| Jun 30, 2024 | 12.30 Mn |
| Mar 31, 2024 | 14.10 Mn |
| Dec 31, 2023 | 8.10 Mn |
| Sep 30, 2023 | 10.80 Mn |
| Jun 30, 2023 | 12.00 Mn |
| Mar 31, 2023 | 13.40 Mn |
| Dec 31, 2022 | 11.30 Mn |
| Sep 30, 2022 | 8.70 Mn |
| Jun 30, 2022 | 5.80 Mn |
| Mar 31, 2022 | 11.70 Mn |
| Dec 31, 2021 | 18.60 Mn |
| Sep 30, 2021 | 14.20 Mn |
Century 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=CENX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CENX", "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=CENX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();