Alamos Gold (AGI) Other Operating Expenses (2012 - 2018)
Alamos Gold (AGI) reported Other Operating Expenses of -$39.7 million for the year ended Dec 31, 2025, compared with $13.8 million a year earlier.
Alamos Gold (AGI) Other Operating Expenses (2012 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2012, Alamos Gold's Other Operating Expenses record includes 13 years.
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Other Operating Expenses in data going back to the year ended Dec 31, 2012.
- According to Business Quant data, Other Operating Expenses came in at $13.8 million in the year ended Dec 31, 2024 (+35.3%), $10.2 million in the year ended Dec 31, 2023 (+12.1%), $9.1 million in the year ended Dec 31, 2022 (-22.2%) and $11.7 million in the year ended Dec 31, 2021 (+14.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Alamos Gold | 13.60 Bn | 11.03 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 10.10 Mn |
| Dec 31, 2017 | 5.30 Mn |
| Dec 31, 2014 | 38.60 Mn |
| Sep 30, 2014 | 32.25 Mn |
| Jun 30, 2014 | 30.84 Mn |
| Mar 31, 2014 | 29.80 Mn |
| Dec 31, 2013 | 34.33 Mn |
| Sep 30, 2013 | 37.30 Mn |
| Jun 30, 2013 | 39.72 Mn |
| Mar 31, 2013 | 35.93 Mn |
| Dec 31, 2012 | 45.40 Mn |
| Sep 30, 2012 | 30.39 Mn |
| Jun 30, 2012 | 30.23 Mn |
| Mar 31, 2012 | 24.75 Mn |
Alamos Gold Other 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=other-operating-expenses&ticker=AGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "AGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=AGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();