BankUnited (BKU) Non Operating Interest Expenses (2010 - 2024)
BankUnited's Non Operating Interest Expenses was $258.23 million in Q3 2024, up 1.0% from $255.7 million a year earlier and up 0.4% from the prior quarter.
BankUnited (BKU) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
On a trailing twelve-month basis, BankUnited's Non Operating Interest Expenses was $1.05 billion through Sep 30, 2024, up 19.6% year-over-year; for FY2023, it came in at $983.78 million, up 209.9% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 19.8% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $317.49 million in FY2022 (+93.9%), $163.76 million in FY2021 (-48.2%), $315.85 million in FY2020 (-40.3%) and $529.09 million in FY2019 (+32.6%).
- Quarterly Non Operating Interest Expenses has moved between $27.32 million (Q1 2022) and $266.62 million (Q1 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for nine straight quarters, with growth averaging 232.1% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 677.9%); the worst was Q1 2021 (a decline of 56.7%).
- Per Business Quant data, BKU's Non Operating Interest Expenses in the three quarters before Q3 2024 was $257.28 million (Q2 2024), $266.62 million (Q1 2024) and $266 million (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 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 | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 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 | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | BankUnited | 3.05 Bn | 1.52 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 43.49 Mn |
| Mar 31, 2021 | 49.19 Mn |
| Dec 31, 2020 | 57.75 Mn |
| Sep 30, 2020 | 67.09 Mn |
| Jun 30, 2020 | 77.44 Mn |
| Mar 31, 2020 | 113.56 Mn |
| Dec 31, 2019 | 124.10 Mn |
BankUnited Non 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=non-operating-interest-expenses&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();