McEwen (MUX) Operating Expenses (2010 - 2026)
McEwen (MUX) posted Operating Expenses of $12.38 million for Q2 2026, down 21.0% from $15.66 million a year earlier.
McEwen (MUX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at McEwen was -$29.99 million; for FY2025, it was $749,000, down 99.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -64.1% (FY2020 to FY2025).
- In prior years, McEwen's Operating Expenses was $81.51 million in FY2024 (-54.7%), $179.84 million in FY2023 (+89.5%), $94.89 million in FY2022 (+64.2%) and $57.8 million in FY2021 (-54.2%).
- Quarterly Operating Expenses has run from a low of -$48.86 million in Q4 2025 to a high of $61.02 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last six quarters, with an average decline of 35.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 161.0%; the weakest was Q4 2024, with a decline of 75.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$9.75 million (Q1 2026), -$48.86 million (Q4 2025) and $16.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | McEwen | 1.11 Bn | 801.87 Mn | 20.08 Mn | 12.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.38 Mn |
| Mar 31, 2026 | -9.75 Mn |
| Dec 31, 2025 | -48.86 Mn |
| Sep 30, 2025 | 16.25 Mn |
| Jun 30, 2025 | 15.66 Mn |
| Mar 31, 2025 | 17.71 Mn |
| Dec 31, 2024 | 14.91 Mn |
| Sep 30, 2024 | 13.90 Mn |
| Jun 30, 2024 | 24.71 Mn |
| Mar 31, 2024 | 27.99 Mn |
| Dec 31, 2023 | 61.02 Mn |
| Sep 30, 2023 | 32.60 Mn |
| Jun 30, 2023 | 39.54 Mn |
| Mar 31, 2023 | 47.27 Mn |
| Dec 31, 2022 | 38.89 Mn |
| Sep 30, 2022 | 17.08 Mn |
| Jun 30, 2022 | 20.80 Mn |
| Mar 31, 2022 | 18.12 Mn |
| Dec 31, 2021 | 16.62 Mn |
| Sep 30, 2021 | 17.78 Mn |
McEwen Operating Expenses 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=operating-expenses&ticker=MUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();