Aura Minerals (AUGO) Operating Expenses (2024 - 2026)
Aura Minerals (AUGO) posted Operating Expenses of -$2.77 million for Q2 2026, compared with -$378,000 a year earlier.
Aura Minerals (AUGO) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Aura Minerals was -$27.22 million; for FY2025, it came in at $58.07 million, up 22.9% from FY2024.
- In prior years, Aura Minerals' Operating Expenses was $47.23 million in FY2024 (-91.0%) and $527.73 million in FY2023.
- Quarterly Operating Expenses has run from a low of -$21.36 million in Q4 2025 to a high of $11.22 million in Q3 2024 over five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$1.91 million (Q1 2026), -$21.36 million (Q4 2025) and -$1.19 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 | Aura Minerals | 6.51 Bn | 4.91 Bn | 191.48 Mn | -2.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.77 Mn |
| Mar 31, 2026 | -1.91 Mn |
| Dec 31, 2025 | -21.36 Mn |
| Sep 30, 2025 | -1.19 Mn |
| Jun 30, 2025 | -378,000.00 |
| Mar 31, 2025 | -11.01 Mn |
| Dec 31, 2024 | -15.31 Mn |
| Sep 30, 2024 | 11.22 Mn |
| Jun 30, 2024 | -10.48 Mn |
Aura Minerals 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=AUGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AUGO", "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=AUGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();