Bank Of America (BAC-PP) Equipment Expense (2009 - 2018)
Bank Of America (BAC-PP) reported Equipment Expense of $427 million for Q4 2018, up 3.9% from $411 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Bank Of America (BAC-PP) Equipment Expense (2009 - 2018) Analysis & Trends
For FY2018, Bank Of America posted Equipment Expense of $1.71 billion, up 0.8% from FY2017.
- Equipment Expense has a five-year compound annual growth rate of -4.5% (FY2013 to FY2018).
- By year, Equipment Expense came in at $1.69 billion in FY2017 (-6.2%), $1.8 billion in FY2016 (-11.5%), $2.04 billion in FY2015 (-4.0%) and $2.13 billion in FY2014 (-1.0%).
- Five-year quarterly Equipment Expense spans a low of $411 million in Q4 2017 and a high of $546 million in Q1 2014.
- Year over year, Equipment Expense gained in three of the last eight quarters, with an average decline of 2.7%.
- The high point for year-over-year Equipment Expense in five years was Q4 2018 (growth of 3.9%); the low point was Q4 2016 (a decline of 15.3%).
- Per Business Quant data, the three quarters before Q4 2018 came in at $421 million (Q3 2018), $415 million (Q2 2018) and $442 million (Q1 2018).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 427.00 Mn |
| Sep 30, 2018 | 421.00 Mn |
| Jun 30, 2018 | 415.00 Mn |
| Mar 31, 2018 | 442.00 Mn |
| Dec 31, 2017 | 411.00 Mn |
| Sep 30, 2017 | 416.00 Mn |
| Jun 30, 2017 | 427.00 Mn |
| Mar 31, 2017 | 438.00 Mn |
| Dec 31, 2016 | 447.00 Mn |
| Sep 30, 2016 | 443.00 Mn |
| Jun 30, 2016 | 451.00 Mn |
| Mar 31, 2016 | 463.00 Mn |
| Dec 31, 2015 | 528.00 Mn |
| Sep 30, 2015 | 499.00 Mn |
| Jun 30, 2015 | 500.00 Mn |
| Mar 31, 2015 | 512.00 Mn |
| Dec 31, 2014 | 531.00 Mn |
| Sep 30, 2014 | 514.00 Mn |
| Jun 30, 2014 | 534.00 Mn |
| Mar 31, 2014 | 546.00 Mn |
API Access
Bank Of America Equipment Expense 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=equipment-expense&ticker=BAC-PP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "ticker": "BAC-PP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=equipment-expense&ticker=BAC-PP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();