Aura Minerals (AUGO) Interest Expenses (2024 - 2026)
Aura Minerals' Interest Expenses came in at -$66.2 million for Q2 2026, compared with -$61 million a year earlier.
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Analysis
Aura Minerals (AUGO) Interest Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aura Minerals reported Interest Expenses of -$295.51 million; for FY2025, it came in at -$416.09 million.
- Going back by year, Interest Expenses was -$157.78 million in FY2024 and -$54 million in FY2023.
- The five-year range for quarterly Interest Expenses is -$126.84 million (Q4 2025) to $62.69 million (Q3 2024).
- Business Quant data shows AUGO's Interest Expenses at $2.39 million (Q1 2026), -$126.84 million (Q4 2025) and -$104.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | - |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | - |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -136.00 Mn |
| 10 | Aura Minerals | 6.51 Bn | 4.91 Bn | 191.48 Mn | -66.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -66.20 Mn |
| Mar 31, 2026 | 2.39 Mn |
| Dec 31, 2025 | -126.84 Mn |
| Sep 30, 2025 | -104.85 Mn |
| Jun 30, 2025 | -61.00 Mn |
| Mar 31, 2025 | -123.39 Mn |
| Dec 31, 2024 | -22.46 Mn |
| Sep 30, 2024 | 62.69 Mn |
| Jun 30, 2024 | -45.10 Mn |
API Access
Aura Minerals Interest 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=interest-expenses&ticker=AUGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AUGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();