Americas Gold & Silver Corp (USAS) Operating Expenses (2016 - 2026)
Americas Gold & Silver (USAS) reported Operating Expenses of -$9.06 million for the quarter ended Jun 30, 2026, compared with -$7.01 million a year earlier.
Americas Gold & Silver Corp (USAS) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Americas Gold & Silver's Operating Expenses came in at $12.26 million; for the year ended Dec 31, 2025, it came in at $24.26 million, up 63.2% from the prior year.
- By year, Operating Expenses came in at $14.87 million in the year ended Dec 31, 2024, -$6.04 million in the year ended Dec 31, 2023, -$26.6 million in the year ended Dec 31, 2022 and -$73.3 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Expenses since the quarter ended Sep 30, 2022.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$8.96 million (quarter ended Mar 31, 2026), $22.64 million (quarter ended Dec 31, 2025) and $7.64 million (quarter ended Sep 30, 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.06 Mn |
| Mar 31, 2026 | -8.96 Mn |
| Dec 31, 2025 | 22.64 Mn |
| Sep 30, 2025 | 7.64 Mn |
| Jun 30, 2025 | -7.01 Mn |
| Mar 31, 2025 | -7.78 Mn |
| Dec 31, 2024 | 6.98 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | -2.61 Mn |
| Mar 31, 2024 | -2.67 Mn |
| Dec 31, 2023 | -3.12 Mn |
| Sep 30, 2023 | -2.79 Mn |
| Jun 30, 2023 | -3.12 Mn |
| Mar 31, 2023 | -3.01 Mn |
| Dec 31, 2022 | -3.37 Mn |
| Sep 30, 2022 | -16.54 Mn |
| Jun 30, 2022 | -2.97 Mn |
| Mar 31, 2022 | -3.74 Mn |
| Dec 31, 2021 | -3.73 Mn |
| Sep 30, 2021 | -3.81 Mn |
Americas Gold & Silver Corp Operating Expenses 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-expenses&ticker=USAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=USAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();