BankUnited (BKU) Change in Net Loans (2013 - 2026)
BankUnited's Change in Net Loans was $274.2 million in Q2 2026, up 662.9% from $35.94 million a year earlier and up 145.1% from the prior quarter.
BankUnited (BKU) Change in Net Loans (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, BankUnited's Change in Net Loans was $70.62 million through Jun 30, 2026, down 91.4% year-over-year; for FY2025, it was $84.37 million, down 80.5% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of -45.9% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $431.79 million in FY2024 (+14.3%), $377.86 million in FY2023 (-38.4%), $613.77 million in FY2022 (-84.1%) and $3.86 billion in FY2021 (+112.0%).
- The Q2 2026 figure marks the highest quarterly Change in Net Loans since Q1 2025.
- Compared with a year earlier, Change in Net Loans was higher in two of the last five quarters, with growth averaging 114.9%.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2026 (growth of 662.9%); the worst was Q3 2022 (a decline of 93.2%).
- Per Business Quant data, BKU's Change in Net Loans in the three quarters before Q2 2026 was $111.85 million (Q1 2026), -$570.91 million (Q4 2025) and $255.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | BankUnited | 3.05 Bn | 1.52 Bn | - | 274.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 274.20 Mn |
| Mar 31, 2026 | 111.85 Mn |
| Dec 31, 2025 | -570.91 Mn |
| Sep 30, 2025 | 255.47 Mn |
| Jun 30, 2025 | 35.94 Mn |
| Mar 31, 2025 | 363.86 Mn |
| Dec 31, 2024 | 85.32 Mn |
| Sep 30, 2024 | 331.53 Mn |
| Jun 30, 2024 | -425.76 Mn |
| Mar 31, 2024 | 440.70 Mn |
| Dec 31, 2023 | -258.09 Mn |
| Sep 30, 2023 | 272.82 Mn |
| Jun 30, 2023 | 289.77 Mn |
| Mar 31, 2023 | 73.37 Mn |
| Dec 31, 2022 | -258.57 Mn |
| Sep 30, 2022 | 86.08 Mn |
| Jun 30, 2022 | -214.28 Mn |
| Mar 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | -51.03 Mn |
| Sep 30, 2021 | 1.27 Bn |
BankUnited Change in Net Loans 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=change-in-net-loans&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();