BankUnited (BKU) EBITDA (2010 - 2026)
BankUnited (BKU) posted EBITDA of $276.68 million for Q2 2026, down 12.1% from $314.81 million a year earlier but up 4.9% from the prior quarter.
BankUnited (BKU) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at BankUnited was $1.14 billion, down 13.3% year-over-year; for FY2025, it was $1.22 billion, down 12.2% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In prior years, BankUnited's EBITDA was $1.39 billion in FY2024 (+7.1%), $1.29 billion in FY2023 (+68.1%), $770.25 million in FY2022 (+11.4%) and $691.65 million in FY2021 (+8.5%).
- Quarterly EBITDA has run from a low of $117.77 million in Q4 2021 to a high of $358.92 million in Q3 2024 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last six quarters, with an average decline of 7.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 134.1%; the weakest was Q4 2021, with a decline of 35.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $263.66 million (Q1 2026), $285.15 million (Q4 2025) and $313.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | BankUnited | 3.07 Bn | 1.54 Bn | - | 276.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.68 Mn |
| Mar 31, 2026 | 263.66 Mn |
| Dec 31, 2025 | 285.15 Mn |
| Sep 30, 2025 | 313.33 Mn |
| Jun 30, 2025 | 314.81 Mn |
| Mar 31, 2025 | 304.69 Mn |
| Dec 31, 2024 | 335.51 Mn |
| Sep 30, 2024 | 358.92 Mn |
| Jun 30, 2024 | 341.84 Mn |
| Mar 31, 2024 | 351.04 Mn |
| Dec 31, 2023 | 307.20 Mn |
| Sep 30, 2023 | 336.92 Mn |
| Jun 30, 2023 | 346.98 Mn |
| Mar 31, 2023 | 303.81 Mn |
| Dec 31, 2022 | 260.10 Mn |
| Sep 30, 2022 | 226.85 Mn |
| Jun 30, 2022 | 148.23 Mn |
| Mar 31, 2022 | 135.06 Mn |
| Dec 31, 2021 | 117.77 Mn |
| Sep 30, 2021 | 172.66 Mn |
BankUnited EBITDA 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=ebitda&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();