Bank Of America (BAC) Amortizatization of Intangibles (2009 - 2019)
Bank Of America (BAC) recorded Amortizatization of Intangibles of $29 million in Q2 2019, down 78.5% from $135 million a year earlier but up 11.5% from the prior quarter.
Bank Of America (BAC) Amortizatization of Intangibles (2009 - 2019) Analysis & Trends
On a TTM basis, Bank Of America's Amortizatization of Intangibles came in at -$189 million as of Jun 30, 2019; for FY2018, it was $26 million, down 95.8% from FY2017.
- Annual Amortizatization of Intangibles has declined for nine straight years, with a five-year compound annual growth rate of -52.6% (FY2013 to FY2018).
- Across earlier years, Amortizatization of Intangibles came in at $621 million in FY2017 (-14.9%), $730 million in FY2016 (-12.5%), $834 million in FY2015 (-10.9%) and $936 million in FY2014 (-13.8%).
- Quarterly Amortizatization of Intangibles has ranged from -$378 million in Q4 2018 to $234 million in Q3 2014 over the past five years.
- Across the past five years, year-over-year decline in Amortizatization of Intangibles ran from 9.8% in Q2 2015 to 80.7% in Q1 2019.
- Per Business Quant, the preceding three quarters came in at $26 million (Q1 2019), -$378 million (Q4 2018) and $134 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 29.00 Mn |
| Mar 31, 2019 | 26.00 Mn |
| Dec 31, 2018 | -378.00 Mn |
| Sep 30, 2018 | 134.00 Mn |
| Jun 30, 2018 | 135.00 Mn |
| Mar 31, 2018 | 135.00 Mn |
| Dec 31, 2017 | 148.00 Mn |
| Sep 30, 2017 | 151.00 Mn |
| Jun 30, 2017 | 160.00 Mn |
| Mar 31, 2017 | 162.00 Mn |
| Dec 31, 2016 | 176.00 Mn |
| Sep 30, 2016 | 181.00 Mn |
| Jun 30, 2016 | 186.00 Mn |
| Mar 31, 2016 | 187.00 Mn |
| Dec 31, 2015 | 202.00 Mn |
| Sep 30, 2015 | 207.00 Mn |
| Jun 30, 2015 | 212.00 Mn |
| Mar 31, 2015 | 213.00 Mn |
| Dec 31, 2014 | 228.00 Mn |
| Sep 30, 2014 | 234.00 Mn |
Bank Of America Amortizatization of 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=amortizatization-of-intangibles&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "BAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();