First Busey (BUSE) Shares Outstanding (Entity) (2010 - 2026)
First Busey (BUSE) posted Shares Outstanding (Entity) of 83.19 million for Q2 2026, down 6.6% from 89.1 million a year earlier and down 2.7% from the prior quarter.
First Busey (BUSE) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, First Busey's Shares Outstanding (Entity) came in at 87.62 million, up 54.0% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In prior years, First Busey's Shares Outstanding (Entity) was 56.9 million in FY2024 (+3.0%), 55.24 million in FY2023 (-0.1%), 55.28 million in FY2022 (-0.3%) and 55.43 million in FY2021 (+1.9%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q1 2025.
- On a year-over-year basis, Shares Outstanding (Entity) increased in seven of the last eight quarters, with growth averaging 26.9%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q2 2025, with growth of 57.0%; the weakest was Q2 2026, with a decline of 6.6%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 85.51 million (Q1 2026), 87.62 million (Q4 2025) and 88.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 3.03 Bn |
| 10 | First Busey | 2.44 Bn | 763.38 Mn | - | 83.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.19 Mn |
| Mar 31, 2026 | 85.51 Mn |
| Dec 31, 2025 | 87.62 Mn |
| Sep 30, 2025 | 88.79 Mn |
| Jun 30, 2025 | 89.10 Mn |
| Mar 31, 2025 | 68.52 Mn |
| Dec 31, 2024 | 56.90 Mn |
| Sep 30, 2024 | 56.87 Mn |
| Jun 30, 2024 | 56.75 Mn |
| Mar 31, 2024 | 55.30 Mn |
| Dec 31, 2023 | 55.24 Mn |
| Sep 30, 2023 | 55.34 Mn |
| Jun 30, 2023 | 55.29 Mn |
| Mar 31, 2023 | 55.29 Mn |
| Dec 31, 2022 | 55.28 Mn |
| Sep 30, 2022 | 55.23 Mn |
| Jun 30, 2022 | 55.34 Mn |
| Mar 31, 2022 | 55.28 Mn |
| Dec 31, 2021 | 55.43 Mn |
| Sep 30, 2021 | 55.83 Mn |
First Busey Shares Outstanding (Entity) 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-entity&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();