First Busey (BUSE) Operating Expenses (2010 - 2026)
First Busey's Operating Expenses came in at $112.64 million for Q2 2026, down 11.9% from $127.83 million a year earlier and down 13.0% from the prior quarter.
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Analysis
First Busey (BUSE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Busey reported Operating Expenses of $482.49 million, up 22.5% year-over-year; for FY2025, it came in at $480.2 million, up 59.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $301.49 million in FY2024 (+5.8%), $285.07 million in FY2023 (+0.4%), $283.88 million in FY2022 (+8.4%) and $261.78 million in FY2021 (+11.8%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 31.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 68.4%), and the weakest in Q2 2026 (a decline of 11.9%).
- Business Quant data shows BUSE's Operating Expenses at $129.52 million (Q1 2026), $120.32 million (Q4 2025) and $120.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - | 112.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.64 Mn |
| Mar 31, 2026 | 129.52 Mn |
| Dec 31, 2025 | 120.32 Mn |
| Sep 30, 2025 | 120.02 Mn |
| Jun 30, 2025 | 127.83 Mn |
| Mar 31, 2025 | 112.03 Mn |
| Dec 31, 2024 | 78.62 Mn |
| Sep 30, 2024 | 75.52 Mn |
| Jun 30, 2024 | 75.91 Mn |
| Mar 31, 2024 | 70.77 Mn |
| Dec 31, 2023 | 74.52 Mn |
| Sep 30, 2023 | 70.95 Mn |
| Jun 30, 2023 | 69.21 Mn |
| Mar 31, 2023 | 70.40 Mn |
| Dec 31, 2022 | 73.68 Mn |
| Sep 30, 2022 | 70.74 Mn |
| Jun 30, 2022 | 69.09 Mn |
| Mar 31, 2022 | 70.38 Mn |
| Dec 31, 2021 | 71.17 Mn |
| Sep 30, 2021 | 73.49 Mn |
API Access
First Busey Operating 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-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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-expenses&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();