First Busey Corp /Nv/ (BUSE) Change in Accrued Expenses (2010 - 2019)
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Analysis
First Busey Corp /Nv/ (BUSE) Change in Accrued Expenses (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 357,000.00 |
| Sep 30, 2018 | 231,000.00 |
| Jun 30, 2018 | 68,000.00 |
| Mar 31, 2018 | 1.55 Mn |
| Sep 30, 2017 | 1.25 Mn |
| Jun 30, 2017 | 490,000.00 |
| Mar 31, 2017 | -94,000.00 |
| Sep 30, 2016 | -18,000.00 |
| Jun 30, 2016 | -28,000.00 |
| Mar 31, 2016 | -15,000.00 |
| Sep 30, 2015 | -19,000.00 |
| Jun 30, 2015 | -37,000.00 |
| Mar 31, 2015 | -42,000.00 |
| Sep 30, 2014 | -39,000.00 |
| Jun 30, 2014 | -31,000.00 |
| Mar 31, 2014 | -76,000.00 |
| Sep 30, 2013 | -78,000.00 |
| Jun 30, 2013 | -143,000.00 |
| Mar 31, 2013 | -165,000.00 |
| Sep 30, 2012 | -184,000.00 |
API Access
First Busey Corp /Nv/ Change in Accrued 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-accrued-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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-accrued-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();