Alamos Gold (AGI) EV to EBITDA (2011 - 2026)
Alamos Gold's (AGI) EV to EBITDA stood at 10.23 in the year ended Dec 31, 2025, up 38.0% from 7.41 a year earlier.
Analysis
Alamos Gold (AGI) EV to EBITDA (2011 - 2026) Analysis & Trends
Starting with the year ended Dec 31, 2016, Alamos Gold's EV to EBITDA history includes 10 years.
- The figure for the year ended Dec 31, 2025 is the highest annual EV to EBITDA in data going back to the year ended Dec 31, 2016.
- Per Business Quant data, AGI's EV to EBITDA was 7.41 in the year ended Dec 31, 2024 (+1.3%), 7.31 in the year ended Dec 31, 2023 (-13.3%), 8.43 in the year ended Dec 31, 2022 (+6.8%) and 7.90 in the year ended Dec 31, 2021 (+33.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | Alamos Gold | 13.38 Bn | 10.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.15 |
| Mar 31, 2026 | 11.58 |
| Dec 31, 2025 | 11.87 |
| Sep 30, 2025 | 12.41 |
| Jun 30, 2025 | 12.36 |
| Mar 31, 2025 | 13.74 |
| Dec 31, 2024 | 9.48 |
| Sep 30, 2024 | 11.08 |
| Jun 30, 2024 | 10.17 |
| Mar 31, 2024 | 10.80 |
| Dec 31, 2023 | 10.05 |
| Sep 30, 2023 | 8.55 |
| Jun 30, 2023 | 10.13 |
| Mar 31, 2023 | 12.36 |
| Dec 31, 2022 | 13.33 |
| Sep 30, 2022 | 14.06 |
| Jun 30, 2022 | 12.01 |
| Mar 31, 2022 | 8.69 |
| Dec 31, 2021 | 6.25 |
| Sep 30, 2021 | 4.62 |
API Access
Alamos Gold EV to EBITDA 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=ev-to-ebitda&ticker=AGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();