Freeport-Mcmoran (FCX) Price to Sales (2009 - 2026)
Freeport-Mcmoran's (FCX) quarterly Price to Sales came in at 12.85 in Q2 2026, up 56.52% year-over-year from 8.21 in Q2 2025, and down 5.21% quarter-over-quarter from 13.55 in Q1 2026.
Freeport-Mcmoran (FCX) Price to Sales (2009 - 2026) Analysis & Trends
Freeport-Mcmoran (FCX) has reported Price to Sales for 18 consecutive years, with 12.85 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales rose 56.52% year-over-year to 12.85 in Q2 2026; TTM through Jun 2026 was 3.49, a 44.83% increase from a year earlier, with the FY2025 full-year figure at 2.82, up 31.02% from the prior year.
- Price to Sales was 12.85 for Q2 2026 at Freeport-Mcmoran, down from 13.55 in the prior quarter.
- Over five years, Price to Sales peaked at 13.55 in Q1 2026 and troughed at 7.72 in Q2 2022.
- A 5-year average of 10.15 and a median of 10.17 in 2023 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales fell 23.54% in 2025 and jumped 56.52% in 2026, its largest moves.
- Over 5 years, Price to Sales stood at 9.44 in 2022, then increased by 9.52% to 10.34 in 2023, then declined by 7.48% to 9.57 in 2024, then surged by 35.45% to 12.96 in 2025, then retreated by 0.85% to 12.85 in 2026.
- The last three Price to Sales figures came in at 12.85 (Q2 2026), 13.55 (Q1 2026), and 12.96 (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 | 3.49 |
| Mar 31, 2026 | 3.20 |
| Dec 31, 2025 | 2.82 |
| Sep 30, 2025 | 2.17 |
| Jun 30, 2025 | 2.41 |
| Mar 31, 2025 | 2.19 |
| Dec 31, 2024 | 2.15 |
| Sep 30, 2024 | 2.80 |
| Jun 30, 2024 | 2.83 |
| Mar 31, 2024 | 2.84 |
| Dec 31, 2023 | 2.67 |
| Sep 30, 2023 | 2.35 |
| Jun 30, 2023 | 2.62 |
| Mar 31, 2023 | 2.72 |
| Dec 31, 2022 | 2.39 |
| Sep 30, 2022 | 1.68 |
| Jun 30, 2022 | 1.72 |
| Mar 31, 2022 | 2.93 |
| Dec 31, 2021 | 2.66 |
| Sep 30, 2021 | 2.26 |
Freeport-Mcmoran Price to Sales 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-sales&ticker=FCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();