First Busey (BUSE) Change in Accured Expenses (2010 - 2019)
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
Download Data
Historic Data
| Date | Value |
|---|---|
| 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
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();