Blue Moon Metals (BMM) Operating Expenses (2025 - 2026)
Blue Moon Metals (BMM) reported Operating Expenses of $15.73 million for the quarter ended Jun 30, 2026, up 389.2% from $3.21 million a year earlier but down 26.1% from the prior quarter.
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Analysis
Blue Moon Metals (BMM) Operating Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Blue Moon Metals' Operating Expenses came in at $40.77 million; for the year ended Dec 31, 2025, it came in at $24.72 million.
- By year, Operating Expenses came in at $342,879 in the year ended Dec 31, 2024.
- Five-year quarterly Operating Expenses spans a low of $548,256 in the quarter ended Mar 31, 2025 and a high of $21.28 million in the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Blue Moon Metals | 222.65 Mn | -9.52 Mn | - | 15.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.73 Mn |
| Mar 31, 2026 | 21.28 Mn |
| Jun 30, 2025 | 3.21 Mn |
| Mar 31, 2025 | 548,255.83 |
API Access
Blue Moon Metals 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=BMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BMM", "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=BMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();