Security Federal (SFDL) Amortization - Intangibles (2010 - 2014)
Security Federal (SFDL) reported Amortization - Intangibles of $11,970 for FY2014, down 76.1% from $50,004 in FY2013.
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Analysis
Security Federal (SFDL) Amortization - Intangibles (2010 - 2014) Analysis & Trends
Dating back to FY2010, Security Federal's Amortization - Intangibles record includes 5 years.
- Amortization - Intangibles has a four-year compound annual growth rate of -39.6% (FY2010 to FY2014).
- The FY2014 figure ranks as the lowest annual Amortization - Intangibles in data going back to FY2010.
- According to Business Quant data, Amortization - Intangibles came in at $50,004 in FY2013 (+33.3%), $37,503 in FY2012, $90,000 in FY2011 (unchanged) and $90,000 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Security Federal | 137.01 Mn | -270.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 11,970.00 |
| Sep 30, 2013 | 12,501.00 |
| Jun 30, 2013 | 12,501.00 |
| Mar 31, 2013 | 12,501.00 |
| Sep 30, 2012 | 12,501.00 |
| Jun 30, 2012 | 12,501.00 |
| Mar 31, 2012 | 12,501.00 |
| Dec 31, 2011 | 12,501.00 |
| Sep 30, 2011 | 12,501.00 |
| Jun 30, 2011 | 22,520.00 |
| Mar 31, 2011 | 22,500.00 |
| Dec 31, 2010 | 22,500.00 |
| Sep 30, 2010 | 22,500.00 |
| Jun 30, 2010 | 22,500.00 |
API Access
Security Federal Amortization - Intangibles 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=amortization-intangibles&ticker=SFDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "SFDL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=SFDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();