McEwen (MUX) Total Non-Current Liabilities (2010 - 2026)
McEwen's Total Non-Current Liabilities was $283.38 million in Q2 2026, up 41.5% from $200.21 million a year earlier and up 4.1% 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 $270.78 million, up 119.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 21.9% (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%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q1 2012.
- Compared with a year earlier, Total Non-Current Liabilities has increased for nine straight quarters, with growth averaging 59.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 119.1%); 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 $272.32 million (Q1 2026), $270.78 million (Q4 2025) and $210.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 9.26 Bn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | 46.26 Bn |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 15.71 Bn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | 3.53 Bn |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | 9.48 Bn |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 26.27 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 23.61 Bn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 13.68 Bn |
| 10 | McEwen | 823.17 Mn | 513.84 Mn | 20.08 Mn | 283.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 283.38 Mn |
| Mar 31, 2026 | 272.32 Mn |
| Dec 31, 2025 | 270.78 Mn |
| Sep 30, 2025 | 210.89 Mn |
| Jun 30, 2025 | 200.21 Mn |
| Mar 31, 2025 | 201.34 Mn |
| Dec 31, 2024 | 123.59 Mn |
| Sep 30, 2024 | 161.44 Mn |
| Jun 30, 2024 | 111.20 Mn |
| Mar 31, 2024 | 109.39 Mn |
| Dec 31, 2023 | 111.80 Mn |
| Sep 30, 2023 | 91.98 Mn |
| Jun 30, 2023 | 83.88 Mn |
| Mar 31, 2023 | 125.68 Mn |
| Dec 31, 2022 | 130.60 Mn |
| Sep 30, 2022 | 105.80 Mn |
| Jun 30, 2022 | 97.49 Mn |
| Mar 31, 2022 | 117.39 Mn |
| Dec 31, 2021 | 99.95 Mn |
| Sep 30, 2021 | 69.05 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();