Pan American Silver (PAAS) Other Accumulated Expenses (2009 - 2018)
Pan American Silver's Other Accumulated Expenses came in at $6.91 million for the quarter ended Dec 31, 2018, up 27.6% from $5.41 million a year earlier.
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Analysis
Pan American Silver (PAAS) Other Accumulated Expenses (2009 - 2018) Analysis & Trends
Going back to the quarter ended Mar 31, 2009, Pan American Silver's Other Accumulated Expenses data covers 9 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -4.7% (years ended Dec 2013 to Dec 2018).
- Going back by year, Other Accumulated Expenses was $5.41 million in the year ended Dec 31, 2017, $4.92 million in the year ended Dec 31, 2015 and -$5.65 million in the year ended Dec 31, 2014.
- The figure for the quarter ended Dec 31, 2018 represents the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 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 |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Pan American Silver | 19.20 Bn | 14.06 Bn | 457,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 6.91 Mn |
| Dec 31, 2017 | 5.41 Mn |
| Dec 31, 2015 | 4.92 Mn |
| Dec 31, 2014 | 3.73 Mn |
| Dec 31, 2013 | 8.77 Mn |
| Dec 31, 2012 | 8.10 Mn |
| Jun 30, 2012 | -5.05 Mn |
| Dec 31, 2011 | 4.98 Mn |
| Mar 31, 2009 | 5.53 Mn |
API Access
Pan American Silver Other 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=other-accumulated-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PAAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();