Grupo Financiero Galicia (GGAL) Change in Net Loans (2015)
Grupo Financiero Galicia's Change in Net Loans came in at -$1.34 billion for the year ended Dec 31, 2017, compared with -$507.12 million a year earlier.
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Analysis
Grupo Financiero Galicia (GGAL) Change in Net Loans (2015) Analysis & Trends
Going back to the year ended Dec 31, 2009, Grupo Financiero Galicia's Change in Net Loans data covers 7 years.
- The figure for the year ended Dec 31, 2017 represents the lowest annual Change in Net Loans in data going back to the year ended Dec 31, 2009.
- Per Business Quant, earlier years put Change in Net Loans at -$507.12 million in the year ended Dec 31, 2016, -$767.86 million in the year ended Dec 31, 2015, $194.49 million in the year ended Dec 31, 2014 and -$144.66 million in the year ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | -19.63 Bn |
| 10 | Grupo Financiero Galicia | 47.79 Bn | 48.08 Bn | - | - |
API Access
Grupo Financiero Galicia Change in Net Loans 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-net-loans&ticker=GGAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=GGAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();