Freeport-Mcmoran (FCX) Operating Expenses (2009 - 2026)
Freeport-Mcmoran's Operating Expenses came in at $5.03 billion for Q2 2026, down 2.4% from $5.15 billion a year earlier but up 22.7% from the prior quarter.
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Analysis
Freeport-Mcmoran (FCX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Freeport-Mcmoran reported Operating Expenses of $18.95 billion, up 0.2% year-over-year; for FY2025, it was $19.4 billion, up 4.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $18.59 billion in FY2024 (+11.8%), $16.63 billion in FY2023 (+5.6%), $15.74 billion in FY2022 (+8.7%) and $14.48 billion in FY2021 (+23.1%).
- The five-year range for quarterly Operating Expenses is $3.62 billion (Q3 2021) to $5.15 billion (Q2 2025).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 38.5%), and the weakest in Q1 2026 (a decline of 7.4%).
- Business Quant data shows FCX's Operating Expenses at $4.1 billion (Q1 2026), $4.82 billion (Q4 2025) and $5 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.84 Bn | 142.62 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 142.15 Bn | 102.65 Bn | - | - |
| 4 | Newmont | 124.82 Bn | 92.82 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 97.63 Bn | 81.67 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 94.01 Bn | 83.64 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 68.98 Bn | 44.18 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 58.19 Bn | 47.57 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 47.29 Bn | 26.31 Bn | - | -780.00 Mn |
| 10 | AngloGold Ashanti | 46.15 Bn | 34.04 Bn | 1.70 Bn | 157.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.03 Bn |
| Mar 31, 2026 | 4.10 Bn |
| Dec 31, 2025 | 4.82 Bn |
| Sep 30, 2025 | 5.00 Bn |
| Jun 30, 2025 | 5.15 Bn |
| Mar 31, 2025 | 4.43 Bn |
| Dec 31, 2024 | 4.48 Bn |
| Sep 30, 2024 | 4.85 Bn |
| Jun 30, 2024 | 4.58 Bn |
| Mar 31, 2024 | 4.69 Bn |
| Dec 31, 2023 | 4.18 Bn |
| Sep 30, 2023 | 4.33 Bn |
| Jun 30, 2023 | 4.33 Bn |
| Mar 31, 2023 | 3.79 Bn |
| Dec 31, 2022 | 4.23 Bn |
| Sep 30, 2022 | 4.04 Bn |
| Jun 30, 2022 | 3.68 Bn |
| Mar 31, 2022 | 3.79 Bn |
| Dec 31, 2021 | 3.86 Bn |
| Sep 30, 2021 | 3.62 Bn |
API Access
Freeport-Mcmoran 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=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FCX", "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=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();