Freeport-Mcmoran (FCX) EBITDA (2009 - 2026)
Freeport-Mcmoran (FCX) recorded EBITDA of $2.53 billion in Q2 2026, down 18.5% from $3.1 billion a year earlier and down 4.7% from the prior quarter.
Powered by 
Analysis
Freeport-Mcmoran (FCX) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Freeport-Mcmoran's EBITDA came in at $9.07 billion as of Jun 30, 2026, down 1.3% year-over-year; for FY2025, it came in at $8.76 billion, down 3.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $9.11 billion in FY2024 (+9.8%), $8.29 billion in FY2023 (-8.4%), $9.06 billion in FY2022 (-12.6%) and $10.36 billion in FY2021 (+161.4%).
- Quarterly EBITDA has ranged from $1.3 billion in Q4 2025 to $3.3 billion in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 134.7% in Q3 2021, against a decline of 50.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.65 billion (Q1 2026), $1.3 billion (Q4 2025) and $2.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 169.34 Bn | 148.13 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 142.72 Bn | 103.22 Bn | - | - |
| 4 | Newmont | 124.89 Bn | 92.90 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 99.22 Bn | 83.26 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.93 Bn | 83.56 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.23 Bn | 44.43 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 59.43 Bn | 48.81 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.20 Bn | 27.22 Bn | - | 1.84 Bn |
| 10 | AngloGold Ashanti | 46.48 Bn | 34.37 Bn | 1.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.53 Bn |
| Mar 31, 2026 | 2.65 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 2.60 Bn |
| Jun 30, 2025 | 3.10 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.78 Bn |
| Sep 30, 2024 | 2.54 Bn |
| Jun 30, 2024 | 2.56 Bn |
| Mar 31, 2024 | 2.23 Bn |
| Dec 31, 2023 | 2.31 Bn |
| Sep 30, 2023 | 2.03 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 2.00 Bn |
| Dec 31, 2022 | 2.05 Bn |
| Sep 30, 2022 | 1.47 Bn |
| Jun 30, 2022 | 2.24 Bn |
| Mar 31, 2022 | 3.30 Bn |
| Dec 31, 2021 | 2.87 Bn |
| Sep 30, 2021 | 2.99 Bn |
API Access
Freeport-Mcmoran EBITDA 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=ebitda&ticker=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();