BankUnited (BKU) Shares Outstanding (Diluted) (2010 - 2026)
BankUnited's Shares Outstanding (Diluted) came in at 71.79 million for Q2 2026, down 3.8% from 74.62 million a year earlier and down 2.8% from the prior quarter.
BankUnited (BKU) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, BankUnited's Shares Outstanding (Diluted) was 74.3 million, up 0.4% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 73.98 million in FY2024 (+0.6%), 73.52 million in FY2023 (-6.7%), 78.81 million in FY2022 (-12.8%) and 90.4 million in FY2021 (-1.5%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2010.
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with an average year-over-year change of 0.0%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2025 (growth of 1.0%), and the weakest in Q3 2022 (a decline of 15.3%).
- Business Quant data shows BKU's Shares Outstanding (Diluted) at 73.89 million (Q1 2026), 74.3 million (Q4 2025) and 74.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | BankUnited | 3.05 Bn | 1.52 Bn | - | 71.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.79 Mn |
| Mar 31, 2026 | 73.89 Mn |
| Dec 31, 2025 | 74.30 Mn |
| Sep 30, 2025 | 74.83 Mn |
| Jun 30, 2025 | 74.62 Mn |
| Mar 31, 2025 | 74.38 Mn |
| Dec 31, 2024 | 73.98 Mn |
| Sep 30, 2024 | 74.49 Mn |
| Jun 30, 2024 | 74.02 Mn |
| Mar 31, 2024 | 73.64 Mn |
| Dec 31, 2023 | 73.52 Mn |
| Sep 30, 2023 | 73.79 Mn |
| Jun 30, 2023 | 73.42 Mn |
| Mar 31, 2023 | 74.01 Mn |
| Dec 31, 2022 | 78.81 Mn |
| Sep 30, 2022 | 77.12 Mn |
| Jun 30, 2022 | 79.39 Mn |
| Mar 31, 2022 | 83.91 Mn |
| Dec 31, 2021 | 90.40 Mn |
| Sep 30, 2021 | 91.03 Mn |
BankUnited Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();