First Busey (BUSE) Shares Outstanding (Diluted) (2010 - 2026)
First Busey's Shares Outstanding (Diluted) was 85.39 million in Q2 2026, down 6.0% from 90.88 million a year earlier and down 2.8% from the prior quarter.
First Busey (BUSE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at First Busey came in at 85.13 million, up 47.9% from FY2024.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 57.54 million in FY2024 (+2.3%), 56.26 million in FY2023 (+0.2%), 56.14 million in FY2022 (+0.2%) and 56.01 million in FY2021 (+2.2%).
- Quarterly Shares Outstanding (Diluted) has moved between 56.01 million (Q4 2021) and 90.88 million (Q2 2025) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in seven of the last eight quarters, with growth averaging 26.2%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2025 (growth of 57.1%); the worst was Q2 2026 (a decline of 6.0%).
- Per Business Quant data, BUSE's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 87.83 million (Q1 2026), 85.13 million (Q4 2025) and 90.22 million (Q3 2025).
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 | First Busey | 2.42 Bn | 742.58 Mn | - | 85.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.39 Mn |
| Mar 31, 2026 | 87.83 Mn |
| Dec 31, 2025 | 85.13 Mn |
| Sep 30, 2025 | 90.22 Mn |
| Jun 30, 2025 | 90.88 Mn |
| Mar 31, 2025 | 68.52 Mn |
| Dec 31, 2024 | 57.54 Mn |
| Sep 30, 2024 | 57.97 Mn |
| Jun 30, 2024 | 57.85 Mn |
| Mar 31, 2024 | 56.41 Mn |
| Dec 31, 2023 | 56.26 Mn |
| Sep 30, 2023 | 56.32 Mn |
| Jun 30, 2023 | 56.20 Mn |
| Mar 31, 2023 | 56.18 Mn |
| Dec 31, 2022 | 56.14 Mn |
| Sep 30, 2022 | 56.07 Mn |
| Jun 30, 2022 | 56.10 Mn |
| Mar 31, 2022 | 56.19 Mn |
| Dec 31, 2021 | 56.01 Mn |
| Sep 30, 2021 | 56.83 Mn |
First Busey 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=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BUSE", "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=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();