Freeport-Mcmoran (FCX) Cash & Equivalents (2009 - 2026)
Freeport-Mcmoran (FCX) recorded Cash & Equivalents of $4.08 billion in Q2 2026, down 9.1% from $4.49 billion a year earlier but up 9.2% from the prior quarter.
Freeport-Mcmoran (FCX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Freeport-Mcmoran reported Cash & Equivalents of $3.82 billion, down 2.5% from FY2024.
- Annual Cash & Equivalents has declined for three straight years, though with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $3.92 billion in FY2024 (-17.5%), $4.76 billion in FY2023 (-41.6%), $8.15 billion in FY2022 (+1.0%) and $8.07 billion in FY2021 (+120.6%).
- Quarterly Cash & Equivalents has ranged from $3.74 billion in Q1 2026 to $9.49 billion in Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for 14 consecutive quarters, with an average decline of 12.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 219.3% in Q3 2021, against a decline of 41.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.74 billion (Q1 2026), $3.82 billion (Q4 2025) and $4.32 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 8.91 Bn |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | 5.67 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | 8.87 Bn |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 9.01 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 4.08 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 3.46 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 5.93 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 2.48 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | 4.85 Bn |
| 10 | AngloGold Ashanti | 43.38 Bn | 31.27 Bn | 1.70 Bn | 2.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.08 Bn |
| Mar 31, 2026 | 3.74 Bn |
| Dec 31, 2025 | 3.82 Bn |
| Sep 30, 2025 | 4.32 Bn |
| Jun 30, 2025 | 4.49 Bn |
| Mar 31, 2025 | 4.39 Bn |
| Dec 31, 2024 | 3.92 Bn |
| Sep 30, 2024 | 5.00 Bn |
| Jun 30, 2024 | 5.27 Bn |
| Mar 31, 2024 | 5.21 Bn |
| Dec 31, 2023 | 4.76 Bn |
| Sep 30, 2023 | 5.75 Bn |
| Jun 30, 2023 | 6.68 Bn |
| Mar 31, 2023 | 6.85 Bn |
| Dec 31, 2022 | 8.15 Bn |
| Sep 30, 2022 | 8.58 Bn |
| Jun 30, 2022 | 9.49 Bn |
| Mar 31, 2022 | 8.34 Bn |
| Dec 31, 2021 | 8.07 Bn |
| Sep 30, 2021 | 7.67 Bn |
Freeport-Mcmoran Cash & Equivalents 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=cash-and-equivalents&ticker=FCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();