Aura Minerals (AUGO) Selling, General & Administrative (2024 - 2026)
Aura Minerals' Selling, General & Administrative was -$22.48 million in Q2 2026, compared with -$11.28 million a year earlier.
Aura Minerals (AUGO) Selling, General & Administrative (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aura Minerals' Selling, General & Administrative was -$53.49 million through Jun 30, 2026; for FY2025, it was $50.05 million, up 50.4% from FY2024.
- In earlier years, Selling, General & Administrative was $33.27 million in FY2024 (+22.3%) and $27.21 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative in data going back to Q2 2024.
- Per Business Quant data, AUGO's Selling, General & Administrative in the three quarters before Q2 2026 was -$1.88 million (Q1 2026), -$18.76 million (Q4 2025) and -$10.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Aura Minerals | 6.59 Bn | 4.99 Bn | 191.48 Mn | -22.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.48 Mn |
| Mar 31, 2026 | -1.88 Mn |
| Dec 31, 2025 | -18.76 Mn |
| Sep 30, 2025 | -10.37 Mn |
| Jun 30, 2025 | -11.28 Mn |
| Mar 31, 2025 | -9.64 Mn |
| Dec 31, 2024 | -10.54 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | -7.53 Mn |
Aura Minerals Selling, General & Administrative 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=selling-general-and-administrative&ticker=AUGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AUGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();