First Busey BUSE
NASDAQ BUSE
$29.73 +0.27 (+0.92%)
At close: Oct 2, 2026 · 4:00 PM EDT

First Busey (BUSE) Change in Accured Expenses (2010 - 2019)

Updated

First Busey (BUSE) posted Change in Accured Expenses of -$6.78 million for FY2019, compared with -$3.78 million in FY2018.

Analysis

First Busey (BUSE) Change in Accured Expenses (2010 - 2019) Analysis & Trends

Since FY2009, First Busey has reported Change in Accured Expenses for 11 years.

  • The FY2019 figure stands as the lowest annual Change in Accured Expenses in data going back to FY2009.
  • Business Quant data shows BUSE's Change in Accured Expenses at -$3.78 million in FY2018, -$757,000 in FY2017, $142,000 in FY2016 (-29.4%) and $201,000 in FY2015 (-44.6%).
Peer Set

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) Change Accured Exp. (Qtr)
1 Jpmorgan Chase 886.05 Bn 915.53 Bn - 22.64 Bn
2 Banco Santander Chile 409.93 Bn 529.88 Bn - -
3 Bank Of America 377.01 Bn -1,999.06 Bn - 27.13 Bn
4 Hsbc Holdings 329.11 Bn 329.16 Bn - -
5 Morgan Stanley 295.54 Bn -213.55 Bn - -
6 Royal Bank Of Canada 273.59 Bn 124.33 Bn - -
7 Mitsubishi Ufj Financial 268.33 Bn -1,320.16 Bn 10.89 Bn -
8 Goldman Sachs 261.29 Bn -3,295.82 Bn - -
9 Wells Fargo & Company 243.13 Bn 245.26 Bn - 14.35 Bn
10 First Busey 2.45 Bn 770.03 Mn - -
Historic Data

Historic Data

Download Data
DateValue
Jun 30, 2019 -6.32 Mn
Mar 31, 2019 -466,000.00
Dec 31, 2018 -5.63 Mn
Sep 30, 2018 231,000.00
Jun 30, 2018 68,000.00
Mar 31, 2018 1.55 Mn
Dec 31, 2017 -2.41 Mn
Sep 30, 2017 1.25 Mn
Jun 30, 2017 490,000.00
Mar 31, 2017 -94,000.00
Dec 31, 2016 203,000.00
Sep 30, 2016 -18,000.00
Jun 30, 2016 -28,000.00
Mar 31, 2016 -15,000.00
Dec 31, 2015 299,000.00
Sep 30, 2015 -19,000.00
Jun 30, 2015 -37,000.00
Mar 31, 2015 -42,000.00
Dec 31, 2014 509,000.00
Sep 30, 2014 -39,000.00
API Access

First Busey Change in Accured Expenses 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-accured-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEY