Grupo Financiero Galicia (GGAL) Operating Margin (2009 - 2017)
Grupo Financiero Galicia's Operating Margin came in at 107.96% for the quarter ended Sep 30, 2017, up 34.73 percentage points from 73.23% a year earlier but down 7123.40 percentage points from the prior quarter.
Grupo Financiero Galicia (GGAL) Operating Margin (2009 - 2017) Analysis & Trends
Over the trailing twelve months to Sep 30, 2017, Grupo Financiero Galicia reported Operating Margin of 110.70%, up 46.63 percentage points year-over-year; for the year ended Dec 31, 2016, it was 33640.93%, down 3633.98 percentage points from the prior year.
- Operating Margin carries a five-year change of +33638.33 percentage points (years ended Dec 2011 to Dec 2016).
- Going back by year, Operating Margin was 37274.92% in the year ended Dec 31, 2015 (+2784.08 pp), 34490.84% in the year ended Dec 31, 2014 (+9967.96 pp), 24522.87% in the year ended Dec 31, 2013 (+24486.38 pp) and 36.49% in the year ended Dec 31, 2012 (+33.89 pp).
- The five-year range for quarterly Operating Margin is 0.13% (the quarter ended Jun 30, 2013) to 7231.35% (the quarter ended Jun 30, 2017).
- Year-over-year, Operating Margin increased in two of the last five quarters, with an average year-over-year change of +791.29 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in the quarter ended Jun 30, 2017 (a gain of 7186.81 percentage points), and the weakest in the quarter ended Sep 30, 2016 (a drop of 1728.37 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Grupo Financiero Galicia | 49.05 Bn | 49.34 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 107.96% |
| Jun 30, 2017 | 7,231.35% |
| Sep 30, 2016 | 73.23% |
| Jun 30, 2016 | 44.54% |
| Mar 31, 2016 | 87.50% |
| Sep 30, 2015 | 1,801.60% |
| Jun 30, 2015 | 1,067.02% |
| Mar 31, 2015 | 601.71% |
| Dec 31, 2014 | 38.19% |
| Sep 30, 2014 | 1,474.84% |
| Jun 30, 2014 | 126.02% |
| Mar 31, 2014 | 200.74% |
| Dec 31, 2013 | 108.75% |
| Sep 30, 2013 | 145.07% |
| Jun 30, 2013 | 0.13% |
| Mar 31, 2013 | 0.33% |
| Dec 31, 2012 | 0.85% |
| Sep 30, 2012 | -1.12% |
| Jun 30, 2012 | 149.61% |
| Mar 31, 2012 | -0.08% |
Grupo Financiero Galicia Operating Margin 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=operating-margin&ticker=GGAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GGAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();