First Majestic Silver (AG) Accumulated Expenses (2011 - 2020)
First Majestic Silver's Accumulated Expenses was $2.52 million in the quarter ended Dec 31, 2020, up 10.5% from $2.28 million a year earlier.
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Analysis
First Majestic Silver (AG) Accumulated Expenses (2011 - 2020) Analysis & Trends
From the quarter ended Dec 31, 2011 onward, First Majestic Silver has reported Accumulated Expenses for 6 quarters.
- Accumulated Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 23.9% (years ended Dec 2016 to Dec 2020).
- In earlier years, Accumulated Expenses was $2.28 million in the year ended Dec 31, 2019 (+40.8%), $1.62 million in the year ended Dec 31, 2018 (+94.6%), $833,000 in the year ended Dec 31, 2017 (-22.1%) and $1.07 million in the year ended Dec 31, 2016.
- The figure for the quarter ended Dec 31, 2020 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - |
| 10 | First Majestic Silver | 7.42 Bn | 3.89 Bn | 223.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 2.52 Mn |
| Dec 31, 2019 | 2.28 Mn |
| Dec 31, 2018 | 1.62 Mn |
| Dec 31, 2017 | 833,000.00 |
| Dec 31, 2016 | 1.07 Mn |
| Dec 31, 2011 | 15.90 Mn |
API Access
First Majestic Silver Accumulated 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=accumulated-expenses&ticker=AG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();