C & F Financial (CFFI) Amortization - Intangibles (2014 - 2017)
C & F Financial's Amortization - Intangibles came in at $150,000 for Q1 2017, down 27.2% from $206,000 a year earlier.
C & F Financial (CFFI) Amortization - Intangibles (2014 - 2017) Analysis & Trends
Over the trailing twelve months to Mar 31, 2017, C & F Financial reported Amortization - Intangibles of $811,000, down 10.8% year-over-year; for FY2016, it came in at $741,000, down 23.3% from FY2015.
- Amortization - Intangibles carries a three-year compound annual growth rate of 30.6% (FY2013 to FY2016).
- Going back by year, Amortization - Intangibles was $966,000 in FY2015 (-18.8%), $1.19 million in FY2014 (+257.4%) and $333,000 in FY2013.
- The Q1 2017 figure represents the lowest quarterly Amortization - Intangibles in data going back to Q1 2014.
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 | C & F Financial | 350.15 Mn | 86.07 Mn | 37.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 150,000.00 |
| Mar 31, 2016 | 206,000.00 |
| Dec 31, 2015 | 220,000.00 |
| Sep 30, 2015 | 235,000.00 |
| Jun 30, 2015 | 248,000.00 |
| Mar 31, 2015 | 263,000.00 |
| Dec 31, 2014 | 276,000.00 |
| Sep 30, 2014 | 290,000.00 |
| Jun 30, 2014 | 305,000.00 |
| Mar 31, 2014 | 319,000.00 |
C & F Financial 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=CFFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "CFFI", "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=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();