Almonty Industries (ALM) Operating Expenses (2024 - 2026)
Almonty Industries' Operating Expenses was $10.86 million in the quarter ended Jun 30, 2026, up 22.4% from $8.87 million a year earlier and up 108.7% from the prior quarter.
Almonty Industries (ALM) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Almonty Industries' Operating Expenses was $25.47 million through Jun 30, 2026, up 107.7% year-over-year; for the year ended Dec 31, 2025, it was $27.64 million, up 148.3% from the prior year.
- In earlier years, Operating Expenses was $11.13 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses in data going back to the quarter ended Jun 30, 2024.
- Per Business Quant data, ALM's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $5.2 million (quarter ended Mar 31, 2026), $6.74 million (quarter ended Dec 31, 2025) and $2.67 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.05 Bn | 141.84 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.45 Bn | 101.96 Bn | - | - |
| 4 | Newmont | 124.46 Bn | 92.46 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.06 Bn | 83.10 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.95 Bn | 83.58 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.53 Bn | 44.73 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.66 Bn | 50.04 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.61 Bn | 27.63 Bn | - | -780.00 Mn |
| 10 | Almonty Industries | 1.96 Bn | 798.60 Mn | 18.87 Mn | 10.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.86 Mn |
| Mar 31, 2026 | 7.06 Mn |
| Dec 31, 2025 | 6.74 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 8.87 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 981,558.52 |
| Jun 30, 2024 | -3.14 Mn |
Almonty Industries 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=ALM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALM", "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=ALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();