Golden Minerals (AUMN) EBITDA (2010 - 2024)
Golden Minerals' EBITDA was -$4.55 million in FY2024, compared with -$6.19 million in FY2023.
Analysis
Golden Minerals (AUMN) EBITDA (2010 - 2024) Analysis & Trends
From FY2009 onward, Golden Minerals has reported EBITDA for 16 years.
- The FY2024 figure marks the highest annual EBITDA since FY2021.
- Per Business Quant data, EBITDA in earlier years was -$6.19 million in FY2023, -$9.78 million in FY2022, -$855,000 in FY2021 and -$7.84 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | 1.84 Bn |
| 10 | Golden Minerals | 3.36 Mn | -3.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -1.13 Mn |
| Jun 30, 2024 | -1.45 Mn |
| Mar 31, 2024 | -1.19 Mn |
| Dec 31, 2023 | 238,000.00 |
| Sep 30, 2023 | -2.31 Mn |
| Jun 30, 2023 | -1.08 Mn |
| Mar 31, 2023 | -2.83 Mn |
| Dec 31, 2022 | -3.87 Mn |
| Sep 30, 2022 | -2.81 Mn |
| Jun 30, 2022 | -2.87 Mn |
| Mar 31, 2022 | -238,000.00 |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 622,000.00 |
| Jun 30, 2021 | -662,000.00 |
| Mar 31, 2021 | -2.69 Mn |
| Dec 31, 2020 | -1.86 Mn |
| Sep 30, 2020 | -994,000.00 |
| Jun 30, 2020 | -2.01 Mn |
| Mar 31, 2020 | -2.98 Mn |
| Dec 31, 2019 | 1.55 Mn |
API Access
Golden Minerals 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=ebitda&ticker=AUMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AUMN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();