Pan American Silver (PAAS) Change in Accrued Expenses (2009 - 2018)
Pan American Silver's Change in Accrued Expenses came in at -$1.19 million for FY2018, compared with -$2.79 million in FY2017.
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Analysis
Pan American Silver (PAAS) Change in Accrued Expenses (2009 - 2018) Analysis & Trends
Going back to FY2010, Pan American Silver's Change in Accrued Expenses data covers 6 years.
- The FY2018 figure represents the highest annual Change in Accrued Expenses since FY2014.
- Per Business Quant, earlier years put Change in Accrued Expenses at -$2.79 million in FY2017 and $27.96 million in FY2014 (+5.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 597.00 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 165.00 Mn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | - |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | -193.05 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 309.00 Mn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | - |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 298.00 Mn |
| 10 | Pan American Silver | 15.72 Bn | 9.93 Bn | 373,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -1.19 Mn |
| Jun 30, 2017 | -2.79 Mn |
| Dec 31, 2014 | 5.28 Mn |
| Dec 31, 2013 | 5.57 Mn |
| Dec 31, 2011 | -9.44 Mn |
| Sep 30, 2011 | 2.68 Mn |
| Jun 30, 2011 | 9.48 Mn |
| Mar 31, 2011 | -417,000.00 |
| Dec 31, 2010 | -2.01 Mn |
| Sep 30, 2010 | 12.64 Mn |
| Jun 30, 2010 | 8.38 Mn |
| Mar 31, 2010 | -12.11 Mn |
| Sep 30, 2009 | -5.83 Mn |
API Access
Pan American Silver Change in Accrued 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=change-in-accured-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();