Freeport-Mcmoran (FCX) Cost of Revenue (2009 - 2026)
Freeport-Mcmoran (FCX) reported Cost of Revenue of $4.84 billion for Q2 2026, down 2.2% from $4.95 billion a year earlier but up 5.8% from the prior quarter.
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Analysis
Freeport-Mcmoran (FCX) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Freeport-Mcmoran's Cost of Revenue came in at $18.87 billion, up 4.0% year-over-year; for FY2025, it came in at $18.62 billion, up 4.6% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $17.8 billion in FY2024 (+13.4%), $15.7 billion in FY2023 (+4.0%), $15.09 billion in FY2022 (+7.5%) and $14.03 billion in FY2021 (+20.4%).
- Five-year quarterly Cost of Revenue spans a low of $3.53 billion in Q2 2022 and a high of $4.95 billion in Q2 2025.
- Year over year, Cost of Revenue gained in six of the last eight quarters, with growth averaging 6.0%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2024 (growth of 24.6%); the low point was Q1 2025 (a decline of 4.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.58 billion (Q1 2026), $4.62 billion (Q4 2025) and $4.83 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 2.14 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | - |
| 10 | AngloGold Ashanti | 42.20 Bn | 31.88 Bn | 1.70 Bn | 1.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.84 Bn |
| Mar 31, 2026 | 4.58 Bn |
| Dec 31, 2025 | 4.62 Bn |
| Sep 30, 2025 | 4.83 Bn |
| Jun 30, 2025 | 4.95 Bn |
| Mar 31, 2025 | 4.22 Bn |
| Dec 31, 2024 | 4.30 Bn |
| Sep 30, 2024 | 4.68 Bn |
| Jun 30, 2024 | 4.38 Bn |
| Mar 31, 2024 | 4.44 Bn |
| Dec 31, 2023 | 3.95 Bn |
| Sep 30, 2023 | 4.09 Bn |
| Jun 30, 2023 | 4.10 Bn |
| Mar 31, 2023 | 3.56 Bn |
| Dec 31, 2022 | 4.02 Bn |
| Sep 30, 2022 | 3.90 Bn |
| Jun 30, 2022 | 3.53 Bn |
| Mar 31, 2022 | 3.64 Bn |
| Dec 31, 2021 | 3.72 Bn |
| Sep 30, 2021 | 3.55 Bn |
API Access
Freeport-Mcmoran Cost of Revenue 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=cost-of-revenue&ticker=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();