BankUnited (BKU) Total Non-Current Liabilities (2010 - 2026)
BankUnited (BKU) posted Total Non-Current Liabilities of $31.1 billion for Q2 2026, down 1.6% from $31.61 billion a year earlier and down 1.1% from the prior quarter.
BankUnited (BKU) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, BankUnited's Total Non-Current Liabilities came in at $31.23 billion, down 0.9% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior years, BankUnited's Total Non-Current Liabilities was $31.5 billion in FY2024 (-2.7%), $32.36 billion in FY2023 (-4.4%), $33.84 billion in FY2022 (+4.9%) and $32.26 billion in FY2021 (+2.4%).
- Quarterly Total Non-Current Liabilities has run from a low of $31.02 billion in Q3 2025 to a high of $33.99 billion in Q1 2023 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 6.0%; the weakest was Q1 2024, with a decline of 6.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $31.43 billion (Q1 2026), $31.23 billion (Q4 2025) and $31.02 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | BankUnited | 3.07 Bn | 1.54 Bn | - | 31.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.10 Bn |
| Mar 31, 2026 | 31.43 Bn |
| Dec 31, 2025 | 31.23 Bn |
| Sep 30, 2025 | 31.02 Bn |
| Jun 30, 2025 | 31.61 Bn |
| Mar 31, 2025 | 31.17 Bn |
| Dec 31, 2024 | 31.50 Bn |
| Sep 30, 2024 | 32.14 Bn |
| Jun 30, 2024 | 31.76 Bn |
| Mar 31, 2024 | 31.64 Bn |
| Dec 31, 2023 | 32.36 Bn |
| Sep 30, 2023 | 31.99 Bn |
| Jun 30, 2023 | 32.53 Bn |
| Mar 31, 2023 | 33.99 Bn |
| Dec 31, 2022 | 33.84 Bn |
| Sep 30, 2022 | 33.37 Bn |
| Jun 30, 2022 | 33.19 Bn |
| Mar 31, 2022 | 32.86 Bn |
| Dec 31, 2021 | 32.26 Bn |
| Sep 30, 2021 | 31.47 Bn |
BankUnited Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();