Franklin Financial Services (FRAF) Net Income Attributable to Noncontrolling Interests (2010 - 2011)
Franklin Financial Services' Net Income Attributable to Noncontrolling Interests came in at -$7.71 million for FY2014, compared with -$4.19 million in FY2013.
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Analysis
Franklin Financial Services (FRAF) Net Income Attributable to Noncontrolling Interests (2010 - 2011) Analysis & Trends
Going back to FY2010, Franklin Financial Services' Net Income Attributable to Noncontrolling Interests data covers 5 years.
- The FY2014 figure represents the lowest annual Net Income Attributable to Noncontrolling Interests in data going back to FY2010.
- Per Business Quant, earlier years put Net Income Attributable to Noncontrolling Interests at -$4.19 million in FY2013, -$3.14 million in FY2012, -$3.84 million in FY2011 and $4.07 million in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 462.00 Mn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 60.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.43 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | -14.00 Mn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 233.25 Mn |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -4.83 Mn |
| Sep 30, 2011 | 345,000.00 |
| Dec 31, 2010 | 4.03 Mn |
| Sep 30, 2010 | 117,000.00 |
API Access
Franklin Financial Services Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "FRAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-from-non-controlling-interests&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();