Alamos Gold (AGI) Operating Margin (2011 - 2026)
Alamos Gold (AGI) recorded Operating Margin of 60.14% in the quarter ended Jun 30, 2026, up 10.80 percentage points from 49.34% a year earlier and up 2.36 percentage points from the prior quarter.
Alamos Gold (AGI) Operating Margin (2011 - 2026) Analysis & Trends
On a TTM basis, Alamos Gold's Operating Margin came in at 75.88% as of Jun 30, 2026, up 28.63 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at 2438.89%, up 2397.17 percentage points from the prior year.
- Annual Operating Margin has increased for four straight years, with a five-year change of +2408.47 percentage points (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Margin came in at 41.72% in the year ended Dec 31, 2024 (+10.63 pp), 31.09% in the year ended Dec 31, 2023 (+17.51 pp), 13.58% in the year ended Dec 31, 2022 (+11.77 pp) and 1.81% in the year ended Dec 31, 2021 (-28.61 pp).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Margin in data going back to the quarter ended Dec 31, 2011.
- On a year-over-year basis, Operating Margin rose in three of the last four quarters, with an average year-over-year change of +11.72 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 102.16 percentage points in the quarter ended Jun 30, 2022, against a drop of 36.64 percentage points in the quarter ended Mar 31, 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 147.98 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 142.83 Bn | 103.33 Bn | - | - |
| 4 | Newmont | 124.98 Bn | 92.98 Bn | 4.03 Bn | 16.48% |
| 5 | Freeport-Mcmoran | 99.28 Bn | 83.32 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 93.88 Bn | 83.51 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 69.20 Bn | 44.40 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 58.94 Bn | 48.32 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 48.21 Bn | 27.23 Bn | - | 6.29% |
| 10 | Alamos Gold | 13.52 Bn | 10.95 Bn | - | 60.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.14% |
| Mar 31, 2026 | 57.78% |
| Dec 31, 2025 | 57.52% |
| Sep 30, 2025 | 98.57% |
| Jun 30, 2025 | 49.34% |
| Mar 31, 2025 | 28.44% |
| Dec 31, 2024 | 42.15% |
| Sep 30, 2024 | 50.79% |
| Jun 30, 2024 | 41.73% |
| Mar 31, 2024 | 29.32% |
| Dec 31, 2023 | 28.24% |
| Sep 30, 2023 | 32.24% |
| Jun 30, 2023 | 33.95% |
| Mar 31, 2023 | 29.82% |
| Dec 31, 2022 | 26.56% |
| Sep 30, 2022 | 14.00% |
| Jun 30, 2022 | 15.79% |
| Mar 31, 2022 | -3.09% |
| Dec 31, 2021 | -13.00% |
| Sep 30, 2021 | 28.94% |
Alamos Gold Operating Margin 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-margin&ticker=AGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=AGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();