Freeport-Mcmoran (FCX) Price to Earnings (2009 - 2026)
Freeport-Mcmoran's (FCX) quarterly Price to Earnings came in at 65.16 in Q2 2026, down 19.18% year-over-year from 80.62 in Q2 2025, and down 32.06% quarter-over-quarter from 95.91 in Q1 2026.
Freeport-Mcmoran (FCX) Price to Earnings (2009 - 2026) Analysis & Trends
Freeport-Mcmoran (FCX) has reported Price to Earnings for 18 consecutive years, with 65.16 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 19.18% year-over-year to 65.16 in Q2 2026; TTM through Jun 2026 was 26.98, a 16.59% decrease from a year earlier, with the FY2025 full-year figure at 33.12, up 14.32% from the prior year.
- Price to Earnings was 65.16 for Q2 2026 at Freeport-Mcmoran, down from 95.91 in the prior quarter.
- Over five years, Price to Earnings peaked at 199.72 in Q4 2024 and troughed at 47.21 in Q1 2022.
- A 5-year average of 114.12 and a median of 105.03 in 2022 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings jumped 235.81% in 2023 and sank 38.73% in 2025, its largest moves.
- Over 5 years, Price to Earnings stood at 78.0 in 2022, then surged by 101.77% to 157.38 in 2023, then rose by 26.91% to 199.72 in 2024, then dropped by 9.98% to 179.79 in 2025, then plunged by 63.76% to 65.16 in 2026.
- The last three Price to Earnings figures came in at 65.16 (Q2 2026), 95.91 (Q1 2026), and 179.79 (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.67 |
| Mar 31, 2026 | 30.92 |
| Dec 31, 2025 | 33.12 |
| Sep 30, 2025 | 27.18 |
| Jun 30, 2025 | 32.35 |
| Mar 31, 2025 | 30.75 |
| Dec 31, 2024 | 28.97 |
| Sep 30, 2024 | 35.81 |
| Jun 30, 2024 | 36.16 |
| Mar 31, 2024 | 40.74 |
| Dec 31, 2023 | 33.04 |
| Sep 30, 2023 | 24.79 |
| Jun 30, 2023 | 27.22 |
| Mar 31, 2023 | 22.52 |
| Dec 31, 2022 | 15.68 |
| Sep 30, 2022 | 10.08 |
| Jun 30, 2022 | 8.58 |
| Mar 31, 2022 | 14.09 |
| Dec 31, 2021 | 14.10 |
| Sep 30, 2021 | 12.22 |
Freeport-Mcmoran Price to Earnings 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=price-to-earnings&ticker=FCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();