McEwen (MUX) Total Non-Current Liabilities (2010 - 2026)
McEwen's Total Non-Current Liabilities was $246.09 million in Q2 2026, up 21.1% from $203.21 million a year earlier but down 10.4% from the prior quarter.
McEwen (MUX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at McEwen came in at $234.6 million, up 89.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $123.59 million in FY2024 (+10.5%), $111.8 million in FY2023 (-14.4%), $130.6 million in FY2022 (+30.7%) and $99.95 million in FY2021 (-0.7%).
- Quarterly Total Non-Current Liabilities has moved between $88.12 million (Q2 2023) and $274.68 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for nine straight quarters, with growth averaging 51.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 89.8%); the worst was Q4 2023 (a decline of 14.4%).
- Per Business Quant data, MUX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $274.68 million (Q1 2026), $234.6 million (Q4 2025) and $213.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -46.26 Bn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 15.71 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 3.99 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 14.06 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 19.93 Bn |
| 10 | McEwen | 1.10 Bn | 794.51 Mn | 20.08 Mn | 246.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.09 Mn |
| Mar 31, 2026 | 274.68 Mn |
| Dec 31, 2025 | 234.60 Mn |
| Sep 30, 2025 | 213.60 Mn |
| Jun 30, 2025 | 203.21 Mn |
| Mar 31, 2025 | 204.02 Mn |
| Dec 31, 2024 | 123.59 Mn |
| Sep 30, 2024 | 124.61 Mn |
| Jun 30, 2024 | 115.50 Mn |
| Mar 31, 2024 | 112.95 Mn |
| Dec 31, 2023 | 111.80 Mn |
| Sep 30, 2023 | 96.46 Mn |
| Jun 30, 2023 | 88.12 Mn |
| Mar 31, 2023 | 130.19 Mn |
| Dec 31, 2022 | 130.60 Mn |
| Sep 30, 2022 | 108.72 Mn |
| Jun 30, 2022 | 100.39 Mn |
| Mar 31, 2022 | 120.30 Mn |
| Dec 31, 2021 | 99.95 Mn |
| Sep 30, 2021 | 94.33 Mn |
McEwen 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=MUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MUX", "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=MUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();