McEwen (MUX) Total Liabilities (2010 - 2026)
McEwen (MUX) posted Total Liabilities of $285.47 million for Q2 2026, up 13.7% from $251.14 million a year earlier but down 11.0% from the prior quarter.
McEwen (MUX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, McEwen's Total Liabilities came in at $273.98 million, up 61.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, McEwen's Total Liabilities was $169.65 million in FY2024 (+9.6%), $154.82 million in FY2023 (-10.2%), $172.45 million in FY2022 (+27.4%) and $135.4 million in FY2021 (+0.6%).
- Quarterly Total Liabilities has run from a low of $128.91 million in Q3 2021 to a high of $320.64 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 38.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 61.5%; the weakest was Q4 2023, with a decline of 10.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $320.64 million (Q1 2026), $273.98 million (Q4 2025) and $259.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | McEwen | 1.11 Bn | 801.87 Mn | 20.08 Mn | 285.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.47 Mn |
| Mar 31, 2026 | 320.64 Mn |
| Dec 31, 2025 | 273.98 Mn |
| Sep 30, 2025 | 259.08 Mn |
| Jun 30, 2025 | 251.14 Mn |
| Mar 31, 2025 | 250.76 Mn |
| Dec 31, 2024 | 169.65 Mn |
| Sep 30, 2024 | 165.69 Mn |
| Jun 30, 2024 | 159.93 Mn |
| Mar 31, 2024 | 156.21 Mn |
| Dec 31, 2023 | 154.82 Mn |
| Sep 30, 2023 | 138.72 Mn |
| Jun 30, 2023 | 131.11 Mn |
| Mar 31, 2023 | 172.40 Mn |
| Dec 31, 2022 | 172.45 Mn |
| Sep 30, 2022 | 146.81 Mn |
| Jun 30, 2022 | 138.66 Mn |
| Mar 31, 2022 | 156.39 Mn |
| Dec 31, 2021 | 135.40 Mn |
| Sep 30, 2021 | 128.91 Mn |
McEwen Total 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-liabilities&ticker=MUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();