Americas Gold & Silver (USAS) Restructuring Costs (2019 - 2020)
Americas Gold & Silver (USAS) reported Restructuring Costs of -$3.18 million for the year ended Dec 31, 2021, compared with -$23,000 a year earlier.
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Analysis
Americas Gold & Silver (USAS) Restructuring Costs (2019 - 2020) Analysis & Trends
Dating back to the year ended Dec 31, 2015, Americas Gold & Silver's Restructuring Costs record includes 7 years.
- Five-year annual Restructuring Costs spans a low of -$3.47 million in the year ended Dec 31, 2019 and a high of -$23,000 in the year ended Dec 31, 2020.
- According to Business Quant data, Restructuring Costs came in at -$23,000 in the year ended Dec 31, 2020, -$3.47 million in the year ended Dec 31, 2019, -$871,000 in the year ended Dec 31, 2018 and -$701,000 in the year ended Dec 31, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 162.84 Bn | 141.62 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.31 Bn | 101.81 Bn | - |
| 4 | Newmont | 124.18 Bn | 92.18 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.62 Bn | 82.66 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.79 Bn | 83.42 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.36 Bn | 44.55 Bn | 2.90 Bn |
| 8 | Nucor | 60.12 Bn | 49.50 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.51 Bn | 27.53 Bn | - |
| 10 | Americas Gold & Silver | 945.04 Mn | 564.84 Mn | 22.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -23,000.00 |
| Dec 31, 2019 | -1.03 Mn |
| Sep 30, 2019 | -284,000.00 |
| Jun 30, 2019 | -1.18 Mn |
| Mar 31, 2019 | -977,000.00 |
API Access
Americas Gold & Silver Restructuring Costs 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=restructuring-costs&ticker=USAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=USAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();