Freeport-Mcmoran (FCX) Selling, General & Administrative (2009 - 2026)
Freeport-Mcmoran (FCX) recorded Selling, General & Administrative of $135 million in Q2 2026, up 6.3% from $127 million a year earlier but down 16.7% from the prior quarter.
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Analysis
Freeport-Mcmoran (FCX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Freeport-Mcmoran's Selling, General & Administrative came in at $561 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $545 million, up 6.2% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $513 million in FY2024 (+7.1%), $479 million in FY2023 (+14.0%), $420 million in FY2022 (+9.7%) and $383 million in FY2021 (+3.5%).
- Quarterly Selling, General & Administrative has ranged from $94 million in Q4 2021 to $162 million in Q1 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 41.7% in Q3 2021, against a decline of 3.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $162 million (Q1 2026), $133 million (Q4 2025) and $131 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.30 Bn | 131.08 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.95 Bn | 97.45 Bn | - | - |
| 4 | Newmont | 119.67 Bn | 87.67 Bn | 4.03 Bn | 74.00 Mn |
| 5 | Freeport-Mcmoran | 94.12 Bn | 78.17 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.93 Bn | 78.56 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 66.01 Bn | 41.21 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 57.57 Bn | 46.96 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 46.25 Bn | 25.28 Bn | - | - |
| 10 | AngloGold Ashanti | 43.82 Bn | 31.71 Bn | 1.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.00 Mn |
| Mar 31, 2026 | 162.00 Mn |
| Dec 31, 2025 | 133.00 Mn |
| Sep 30, 2025 | 131.00 Mn |
| Jun 30, 2025 | 127.00 Mn |
| Mar 31, 2025 | 154.00 Mn |
| Dec 31, 2024 | 129.00 Mn |
| Sep 30, 2024 | 117.00 Mn |
| Jun 30, 2024 | 123.00 Mn |
| Mar 31, 2024 | 144.00 Mn |
| Dec 31, 2023 | 120.00 Mn |
| Sep 30, 2023 | 118.00 Mn |
| Jun 30, 2023 | 115.00 Mn |
| Mar 31, 2023 | 126.00 Mn |
| Dec 31, 2022 | 107.00 Mn |
| Sep 30, 2022 | 98.00 Mn |
| Jun 30, 2022 | 100.00 Mn |
| Mar 31, 2022 | 115.00 Mn |
| Dec 31, 2021 | 94.00 Mn |
| Sep 30, 2021 | 102.00 Mn |
API Access
Freeport-Mcmoran Selling, General & Administrative 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=selling-general-and-administrative&ticker=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();