Bank Of America Corp /De/ (BAC) Equipment Expense (2009 - 2018)
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Analysis
Bank Of America Corp /De/ (BAC) Equipment Expense (2009 - 2018) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
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 Corp /De/ 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();