Freeport-Mcmoran (FCX) Price to Book (2009 - 2026)
Freeport-Mcmoran's (FCX) quarterly Price to Book came in at 2.8 in Q2 2026, up 35.08% year-over-year from 2.07 in Q2 2025, and up 4.52% quarter-over-quarter from 2.68 in Q1 2026.
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Analysis
Freeport-Mcmoran (FCX) Price to Book (2009 - 2026) Analysis & Trends
Freeport-Mcmoran (FCX) has reported Price to Book for 18 consecutive years, with 2.8 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 35.08% year-over-year to 2.8 in Q2 2026; TTM through Jun 2026 was 2.8, a 35.08% increase from a year earlier, with the FY2025 full-year figure at 2.37, up 24.77% from the prior year.
- Price to Book was 2.8 for Q2 2026 at Freeport-Mcmoran, up from 2.68 in the prior quarter.
- Over five years, Price to Book peaked at 3.0 in Q1 2022 and troughed at 1.62 in Q3 2022.
- A 5-year average of 2.23 and a median of 2.22 in 2023 frame the typical range for Price to Book.
- Across the five-year window, Price to Book tumbled 33.17% in 2022 and soared 44.08% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 2.19 in 2022, then climbed by 2.29% to 2.24 in 2023, then slipped by 14.95% to 1.9 in 2024, then climbed by 24.77% to 2.37 in 2025, then increased by 18.13% to 2.8 in 2026.
- The last three Price to Book figures came in at 2.8 (Q2 2026), 2.68 (Q1 2026), and 2.37 (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 | 2.80 |
| Mar 31, 2026 | 2.68 |
| Dec 31, 2025 | 2.37 |
| Sep 30, 2025 | 1.85 |
| Jun 30, 2025 | 2.07 |
| Mar 31, 2025 | 1.86 |
| Dec 31, 2024 | 1.90 |
| Sep 30, 2024 | 2.48 |
| Jun 30, 2024 | 2.43 |
| Mar 31, 2024 | 2.40 |
| Dec 31, 2023 | 2.24 |
| Sep 30, 2023 | 2.00 |
| Jun 30, 2023 | 2.20 |
| Mar 31, 2023 | 2.29 |
| Dec 31, 2022 | 2.19 |
| Sep 30, 2022 | 1.62 |
| Jun 30, 2022 | 1.74 |
| Mar 31, 2022 | 3.00 |
| Dec 31, 2021 | 2.64 |
| Sep 30, 2021 | 2.12 |
API Access
Freeport-Mcmoran Price to Book 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-book&ticker=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();