BankUnited (BKU) Interest Expenses (2010 - 2026)
BankUnited (BKU) recorded Interest Expenses of $171.18 million in Q2 2026, down 17.6% from $207.66 million a year earlier and down 1.2% from the prior quarter.
BankUnited (BKU) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, BankUnited's Interest Expenses came in at $731.38 million as of Jun 30, 2026, down 19.2% year-over-year; for FY2025, it was $805.21 million, down 20.3% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $1.01 billion in FY2024 (+2.8%), $983.78 million in FY2023 (+209.9%), $317.49 million in FY2022 (+93.9%) and $163.76 million in FY2021 (-48.2%).
- The Q2 2026 figure is the lowest quarterly Interest Expenses since Q4 2022.
- On a year-over-year basis, Interest Expenses has declined for seven consecutive quarters, with an average decline of 16.2% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 677.9% in Q1 2023, against a decline of 44.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $173.2 million (Q1 2026), $184.19 million (Q4 2025) and $202.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | BankUnited | 3.05 Bn | 1.52 Bn | - | 171.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.18 Mn |
| Mar 31, 2026 | 173.20 Mn |
| Dec 31, 2025 | 184.19 Mn |
| Sep 30, 2025 | 202.81 Mn |
| Jun 30, 2025 | 207.66 Mn |
| Mar 31, 2025 | 210.55 Mn |
| Dec 31, 2024 | 228.73 Mn |
| Sep 30, 2024 | 258.23 Mn |
| Jun 30, 2024 | 257.28 Mn |
| Mar 31, 2024 | 266.62 Mn |
| Dec 31, 2023 | 266.00 Mn |
| Sep 30, 2023 | 255.70 Mn |
| Jun 30, 2023 | 249.54 Mn |
| Mar 31, 2023 | 212.54 Mn |
| Dec 31, 2022 | 158.42 Mn |
| Sep 30, 2022 | 90.19 Mn |
| Jun 30, 2022 | 41.56 Mn |
| Mar 31, 2022 | 27.32 Mn |
| Dec 31, 2021 | 31.86 Mn |
| Sep 30, 2021 | 39.22 Mn |
BankUnited 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=interest-expenses&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();