Americas Gold & Silver (USAS) Capital Expenditures (2017 - 2025)
Americas Gold & Silver's Capital Expenditures came in at $40.48 million for the quarter ended Dec 31, 2025, up 667.4% from $5.28 million a year earlier.
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Analysis
Americas Gold & Silver (USAS) Capital Expenditures (2017 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Americas Gold & Silver's Capital Expenditures was $69.24 million, up 267.3% from the prior year.
- Capital Expenditures carries a five-year compound annual growth rate of 43.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Capital Expenditures was $18.85 million in the year ended Dec 31, 2024, -$19.94 million in the year ended Dec 31, 2023, $19.6 million in the year ended Dec 31, 2022 (+55.0%) and $12.65 million in the year ended Dec 31, 2021 (+9.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 719.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -431.28 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | -1.19 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | -1.10 Bn |
| 10 | Americas Gold & Silver | 1.42 Bn | 1.04 Bn | 22.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 40.48 Mn |
| Dec 31, 2024 | 5.28 Mn |
| Dec 31, 2018 | 4.22 Mn |
| Dec 31, 2017 | 1.64 Mn |
API Access
Americas Gold & Silver Capital Expenditures 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=capital-expenditures&ticker=USAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "USAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=USAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();