Americas Gold & Silver (USAS) EBITDA (2016 - 2026)
Americas Gold & Silver's EBITDA was $24.47 million in the quarter ended Jun 30, 2026, up 517.9% from $3.96 million a year earlier but down 58.4% from the prior quarter.
Americas Gold & Silver (USAS) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Americas Gold & Silver's EBITDA was $89.46 million through Jun 30, 2026, up 226.0% year-over-year; for the year ended Dec 31, 2025, it came in at $30.04 million, up 12.6% from the prior year.
- EBITDA shows a five-year compound annual growth rate of 10.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $26.67 million in the year ended Dec 31, 2024 (-35.6%), $41.39 million in the year ended Dec 31, 2023 (-32.0%), $60.87 million in the year ended Dec 31, 2022 (+23.3%) and $49.35 million in the year ended Dec 31, 2021 (+168.0%).
- Quarterly EBITDA has moved between -$5.57 million (the quarter ended Sep 30, 2021) and $58.83 million (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last five quarters, with growth averaging 146.5%.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Jun 30, 2026 (growth of 517.9%); the worst was the quarter ended Mar 31, 2022 (a decline of 72.2%).
- Per Business Quant data, USAS's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $58.83 million (quarter ended Mar 31, 2026), -$355,000 (quarter ended Dec 31, 2025) and $6.52 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 1.84 Bn |
| 10 | Americas Gold & Silver | 963.75 Mn | 583.55 Mn | 22.23 Mn | 12.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.04 Mn |
| Mar 31, 2026 | 33.62 Mn |
| Dec 31, 2025 | -40.34 Mn |
| Sep 30, 2025 | 6.52 Mn |
| Jun 30, 2025 | -4.05 Mn |
| Mar 31, 2025 | -5.50 Mn |
| Dec 31, 2024 | 22.33 Mn |
| Sep 30, 2024 | 5.37 Mn |
| Jun 30, 2024 | 21.44 Mn |
| Mar 31, 2024 | 8.01 Mn |
| Dec 31, 2023 | -9.27 Mn |
| Sep 30, 2023 | 8.10 Mn |
| Jun 30, 2023 | 12.05 Mn |
| Mar 31, 2023 | 12.43 Mn |
| Dec 31, 2022 | -16.82 Mn |
| Sep 30, 2022 | 7.10 Mn |
| Jun 30, 2022 | 11.15 Mn |
| Mar 31, 2022 | 19.31 Mn |
| Dec 31, 2021 | -20.40 Mn |
| Sep 30, 2021 | 2.60 Mn |
Americas Gold & Silver 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=USAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=USAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();