First Busey (BUSE) Operating Interest Expenses (2020 - 2022)
First Busey's Operating Interest Expenses came in at $637,000 for FY2022, down 60.1% from $1.6 million in FY2021.
Powered by 
Analysis
First Busey (BUSE) Operating Interest Expenses (2020 - 2022) Analysis & Trends
Going back to FY2018, First Busey's Operating Interest Expenses data covers 5 years.
- Operating Interest Expenses carries a four-year compound annual growth rate of -20.5% (FY2018 to FY2022).
- The FY2022 figure represents the lowest annual Operating Interest Expenses in data going back to FY2018.
- Per Business Quant, earlier years put Operating Interest Expenses at $1.6 million in FY2021 (unchanged), $1.6 million in FY2020 (-0.1%), $1.6 million in FY2019 (+0.1%) and $1.6 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 237,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 399,000.00 |
| Sep 30, 2021 | 400,000.00 |
| Jun 30, 2021 | 399,000.00 |
| Mar 31, 2021 | 400,000.00 |
| Dec 31, 2020 | 399,000.00 |
| Sep 30, 2020 | 400,000.00 |
| Jun 30, 2020 | 399,000.00 |
| Mar 31, 2020 | 400,000.00 |
API Access
First Busey Operating Interest 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=operating-interest-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();