First Busey (BUSE) Change in Taxes (2011 - 2018)
First Busey's Change in Taxes was -$986,000 in Q3 2018, compared with -$912,000 a year earlier.
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Analysis
First Busey (BUSE) Change in Taxes (2011 - 2018) Analysis & Trends
On a trailing twelve-month basis, First Busey's Change in Taxes was -$3.11 million through Sep 30, 2018.
- Quarterly Change in Taxes has moved between -$6.4 million (Q1 2017) and $5.88 million (Q2 2017) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 174.28 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First Busey | 2.42 Bn | 742.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -986,000.00 |
| Jun 30, 2018 | 3.21 Mn |
| Mar 31, 2018 | -4.42 Mn |
| Sep 30, 2017 | -912,000.00 |
| Jun 30, 2017 | 5.88 Mn |
| Mar 31, 2017 | -6.40 Mn |
| Sep 30, 2016 | 373,000.00 |
| Jun 30, 2016 | -315,000.00 |
| Mar 31, 2016 | 1.02 Mn |
| Sep 30, 2015 | -330,000.00 |
| Jun 30, 2015 | -2.49 Mn |
| Mar 31, 2015 | -926,000.00 |
| Sep 30, 2014 | -1.08 Mn |
| Jun 30, 2014 | 1.59 Mn |
| Mar 31, 2014 | -82,000.00 |
| Sep 30, 2013 | 900,000.00 |
| Jun 30, 2013 | -1.41 Mn |
| Mar 31, 2013 | 277,000.00 |
| Sep 30, 2012 | 45,000.00 |
| Jun 30, 2012 | -630,000.00 |
API Access
First Busey Change in Taxes 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=change-in-taxes&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "BUSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();