Alamos Gold (AGI) Operating Interest Expenses (2011 - 2015)
Alamos Gold's Operating Interest Expenses was -$400,000 in Q2 2026, compared with -$300,000 a year earlier.
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Analysis
Alamos Gold (AGI) Operating Interest Expenses (2011 - 2015) Analysis & Trends
On a trailing twelve-month basis, Alamos Gold's Operating Interest Expenses was -$2.7 million through Jun 30, 2026; for FY2014, it came in at -$1.39 million.
- In earlier years, Operating Interest Expenses was -$912,000 in FY2013, -$536,000 in FY2012 and -$598,000 in FY2011.
- Quarterly Operating Interest Expenses has moved between -$1.6 million (Q1 2025) and -$300,000 (Q2 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | - |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | - |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | - |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | - |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | - |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | - |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | - |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | - |
| 10 | Alamos Gold | 13.16 Bn | 11.85 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -366,000.00 |
| Mar 31, 2015 | -360,000.00 |
| Dec 31, 2014 | -346,000.00 |
| Sep 30, 2014 | -350,000.00 |
| Jun 30, 2014 | -352,000.00 |
| Mar 31, 2014 | 346,000.00 |
| Dec 31, 2013 | -224,000.00 |
| Sep 30, 2013 | -212,000.00 |
| Jun 30, 2013 | -229,000.00 |
| Mar 31, 2013 | -247,000.00 |
| Dec 31, 2012 | -148,000.00 |
| Sep 30, 2012 | -121,000.00 |
| Jun 30, 2012 | -134,000.00 |
| Mar 31, 2012 | -133,000.00 |
| Dec 31, 2011 | -151,000.00 |
API Access
Alamos Gold Operating 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=operating-interest-expenses&ticker=AGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=AGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();