Freeport-Mcmoran (FCX) EV to EBITDA (2009 - 2026)
Freeport-Mcmoran's (FCX) quarterly EV to EBITDA came in at 49.1 in Q2 2026, up 71.71% year-over-year from 28.59 in Q2 2025, and up 13.1% quarter-over-quarter from 43.41 in Q1 2026.
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Freeport-Mcmoran (FCX) EV to EBITDA (2009 - 2026) Analysis & Trends
Freeport-Mcmoran (FCX) has reported EV to EBITDA for 18 consecutive years, with 49.1 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 71.71% year-over-year to 49.1 in Q2 2026; TTM through Jun 2026 was 14.21, a 41.28% increase from a year earlier, with the FY2025 full-year figure at 12.43, up 37.65% from the prior year.
- EV to EBITDA was 49.1 for Q2 2026 at Freeport-Mcmoran, up from 43.41 in the prior quarter.
- Over five years, EV to EBITDA peaked at 99.92 in Q4 2025 and troughed at 23.9 in Q2 2022.
- A 5-year average of 42.17 and a median of 39.57 in 2023 frame the typical range for EV to EBITDA.
- The widest YoY moves for EV to EBITDA: up 106.26% in 2022, down 24.0% in 2022.
- Over 5 years, EV to EBITDA stood at 36.3 in 2022, then advanced by 7.07% to 38.86 in 2023, then advanced by 28.34% to 49.88 in 2024, then jumped by 100.34% to 99.92 in 2025, then plunged by 50.86% to 49.1 in 2026.
- The last three EV to EBITDA figures came in at 49.1 (Q2 2026), 43.41 (Q1 2026), and 99.92 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 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 |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.84 |
| Mar 31, 2026 | 9.62 |
| Dec 31, 2025 | 9.25 |
| Sep 30, 2025 | 6.89 |
| Jun 30, 2025 | 7.57 |
| Mar 31, 2025 | 7.12 |
| Dec 31, 2024 | 6.81 |
| Sep 30, 2024 | 8.10 |
| Jun 30, 2024 | 8.31 |
| Mar 31, 2024 | 8.62 |
| Dec 31, 2023 | 8.07 |
| Sep 30, 2023 | 7.22 |
| Jun 30, 2023 | 8.10 |
| Mar 31, 2023 | 7.91 |
| Dec 31, 2022 | 6.13 |
| Sep 30, 2022 | 4.02 |
| Jun 30, 2022 | 3.64 |
| Mar 31, 2022 | 6.23 |
| Dec 31, 2021 | 5.95 |
| Sep 30, 2021 | 5.11 |
API Access
Freeport-Mcmoran EV to 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=ev-to-ebitda&ticker=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();