Wafd (WAFD) Amortization - Intangibles (2012 - 2014)
Wafd's Amortization - Intangibles came in at $5.63 million for fiscal Q1 2015 (quarter ended Dec 31, 2014), up 92.1% from $2.93 million a year earlier.
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Analysis
Wafd (WAFD) Amortization - Intangibles (2012 - 2014) Analysis & Trends
Over the trailing twelve months to Dec 31, 2014, Wafd reported Amortization - Intangibles of $10.34 million, up 137.1% year-over-year; for FY2013 (ended Sep 30, 2013), it came in at $1.79 million, up 18.4% from FY2012.
- Amortization - Intangibles carries a four-year compound annual growth rate of -14.4% (FY2009 to FY2013).
- Going back by fiscal year, Amortization - Intangibles was $1.51 million in FY2012 (+4.3%), $1.45 million in FY2011 (-32.4%), $2.14 million in FY2010 (-35.8%) and $3.33 million in FY2009.
- The fiscal Q1 2015 figure represents the highest quarterly Amortization - Intangibles in data going back to fiscal Q1 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Wafd | 2.18 Bn | 2.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 5.63 Mn |
| Jun 30, 2014 | 1.05 Mn |
| Mar 31, 2014 | 728,000.00 |
| Dec 31, 2013 | 2.93 Mn |
| Sep 30, 2013 | 400,000.00 |
| Jun 30, 2013 | 660,000.00 |
| Mar 31, 2013 | 371,000.00 |
| Dec 31, 2012 | 354,000.00 |
API Access
Wafd 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=WAFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "WAFD", "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=WAFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();