Grupo Financiero Galicia (GGAL) Accumulated Expenses (2009 - 2012)
Grupo Financiero Galicia's Accumulated Expenses came in at $3,000 for the quarter ended Dec 31, 2012, unchanged from $3,000 a year earlier.
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Analysis
Grupo Financiero Galicia (GGAL) Accumulated Expenses (2009 - 2012) Analysis & Trends
Going back to the quarter ended Dec 31, 2009, Grupo Financiero Galicia's Accumulated Expenses data covers 5 quarters.
- Accumulated Expenses carries a three-year compound annual growth rate of -95.9% (years ended Dec 2009 to Dec 2012).
- Going back by year, Accumulated Expenses was $3,000 in the year ended Dec 31, 2011 (-100.0%), $20.89 million in the year ended Dec 31, 2010 (-51.3%) and $42.92 million in the year ended Dec 31, 2009.
- The five-year range for quarterly Accumulated Expenses is $3,000 (the quarter ended Dec 31, 2011) to $42.92 million (the quarter ended Dec 31, 2009).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Grupo Financiero Galicia | 47.56 Bn | 47.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 3,000.00 |
| Dec 31, 2011 | 3,000.00 |
| Jun 30, 2011 | 68.14 Mn |
| Dec 31, 2010 | 20.89 Mn |
| Mar 31, 2010 | 31.59 Mn |
| Dec 31, 2009 | 42.92 Mn |
API Access
Grupo Financiero Galicia 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=GGAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GGAL", "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=GGAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();