BankUnited (BKU) Operating Expenses (2010 - 2026)
BankUnited's Operating Expenses came in at $174.65 million for Q2 2026, up 6.3% from $164.33 million a year earlier and up 4.4% from the prior quarter.
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Analysis
BankUnited (BKU) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BankUnited reported Operating Expenses of $680.99 million, up 4.8% year-over-year; for FY2025, it came in at $663.53 million, up 3.4% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $642 million in FY2024 (+1.0%), $635.95 million in FY2023 (+17.7%), $540.31 million in FY2022 (-1.3%) and $547.58 million in FY2021 (+19.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 52.3%), and the weakest in Q4 2022 (a decline of 21.0%).
- Business Quant data shows BKU's Operating Expenses at $167.36 million (Q1 2026), $172.81 million (Q4 2025) and $166.17 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 | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | BankUnited | 3.07 Bn | 1.54 Bn | - | 174.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.65 Mn |
| Mar 31, 2026 | 167.36 Mn |
| Dec 31, 2025 | 172.81 Mn |
| Sep 30, 2025 | 166.17 Mn |
| Jun 30, 2025 | 164.33 Mn |
| Mar 31, 2025 | 160.23 Mn |
| Dec 31, 2024 | 160.47 Mn |
| Sep 30, 2024 | 164.58 Mn |
| Jun 30, 2024 | 157.71 Mn |
| Mar 31, 2024 | 159.24 Mn |
| Dec 31, 2023 | 190.86 Mn |
| Sep 30, 2023 | 147.09 Mn |
| Jun 30, 2023 | 145.22 Mn |
| Mar 31, 2023 | 152.78 Mn |
| Dec 31, 2022 | 148.48 Mn |
| Sep 30, 2022 | 138.11 Mn |
| Jun 30, 2022 | 127.40 Mn |
| Mar 31, 2022 | 126.32 Mn |
| Dec 31, 2021 | 187.86 Mn |
| Sep 30, 2021 | 118.04 Mn |
API Access
BankUnited 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=BKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BKU", "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=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();