Freeport-Mcmoran (FCX) Total Non-Current Liabilities (2009 - 2026)
Freeport-Mcmoran's Total Non-Current Liabilities was $26.27 billion in Q2 2026, up 8.0% from $24.32 billion a year earlier and up 0.9% from the prior quarter.
Freeport-Mcmoran (FCX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Freeport-Mcmoran came in at $26.11 billion, up 16.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $22.39 billion in FY2024 (+0.9%), $22.2 billion in FY2023 (-4.2%), $23.18 billion in FY2022 (+4.0%) and $22.29 billion in FY2021 (+6.1%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2016.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 4.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 16.6%); the worst was Q2 2023 (a decline of 5.3%).
- Per Business Quant data, FCX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $26.04 billion (Q1 2026), $26.11 billion (Q4 2025) and $24.26 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 168.98 Bn | 147.76 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 143.06 Bn | 103.56 Bn | - | 46.15 Bn |
| 4 | Newmont | 125.35 Bn | 93.35 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 99.16 Bn | 83.21 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 94.43 Bn | 84.06 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.38 Bn | 44.58 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 59.50 Bn | 48.88 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 48.22 Bn | 27.24 Bn | - | 19.93 Bn |
| 10 | AngloGold Ashanti | 46.85 Bn | 34.73 Bn | 1.70 Bn | 3.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.27 Bn |
| Mar 31, 2026 | 26.04 Bn |
| Dec 31, 2025 | 26.11 Bn |
| Sep 30, 2025 | 24.26 Bn |
| Jun 30, 2025 | 24.32 Bn |
| Mar 31, 2025 | 24.68 Bn |
| Dec 31, 2024 | 21.19 Bn |
| Sep 30, 2024 | 24.75 Bn |
| Jun 30, 2024 | 24.37 Bn |
| Mar 31, 2024 | 24.52 Bn |
| Dec 31, 2023 | 20.55 Bn |
| Sep 30, 2023 | 23.27 Bn |
| Jun 30, 2023 | 23.16 Bn |
| Mar 31, 2023 | 23.67 Bn |
| Dec 31, 2022 | 23.18 Bn |
| Sep 30, 2022 | 24.20 Bn |
| Jun 30, 2022 | 24.45 Bn |
| Mar 31, 2022 | 23.14 Bn |
| Dec 31, 2021 | 22.29 Bn |
| Sep 30, 2021 | 22.48 Bn |
Freeport-Mcmoran Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();