Freeport-Mcmoran (FCX) EBITDA (2009 - 2026)
Freeport-Mcmoran's (FCX) quarterly EBITDA came in at $2.0 billion in Q2 2026, down 17.64% year-over-year from $2.4 billion in Q2 2025, and down 6.27% quarter-over-quarter from $2.1 billion in Q1 2026.
Freeport-Mcmoran (FCX) EBITDA (2009 - 2026) Analysis & Trends
Freeport-Mcmoran (FCX) has reported EBITDA for 18 consecutive years, with $2.0 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA fell 17.64% year-over-year to $2.0 billion in Q2 2026; TTM through Jun 2026 was $6.9 billion, a 0.1% change from a year earlier, with the FY2025 full-year figure at $6.5 billion, down 5.04% from the prior year.
- EBITDA was $2.0 billion for Q2 2026 at Freeport-Mcmoran, down from $2.1 billion in the prior quarter.
- Over five years, EBITDA peaked at $2.8 billion in Q1 2022 and troughed at $811.0 million in Q4 2025.
- A 5-year average of $1.7 billion and a median of $1.7 billion in 2023 frame the typical range for EBITDA.
- The widest YoY moves for EBITDA: up 83.36% in 2022, down 60.93% in 2022.
- Over 5 years, EBITDA stood at $1.5 billion in 2022, then climbed by 12.55% to $1.7 billion in 2023, then decreased by 27.82% to $1.2 billion in 2024, then tumbled by 34.75% to $811.0 million in 2025, then jumped by 146.98% to $2.0 billion in 2026.
- The last three EBITDA figures came in at $2.0 billion (Q2 2026), $2.1 billion (Q1 2026), and $811.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn | - |
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 |
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_KEY
import 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();