Bank7 (BSVN) Shares Outstanding (Diluted) (2017 - 2026)
Bank7 (BSVN) posted Shares Outstanding (Diluted) of 9.6 million for Q2 2026, up 0.6% from 9.55 million a year earlier and up 0.1% from the prior quarter.
Bank7 (BSVN) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Bank7's Shares Outstanding (Diluted) came in at 9.57 million, up 1.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Bank7's Shares Outstanding (Diluted) was 9.45 million in FY2024 (+2.0%), 9.26 million in FY2023 (+0.6%), 9.2 million in FY2022 (+1.2%) and 9.09 million in FY2021 (-3.1%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q1 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 18 quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 2.5%; the weakest was Q4 2021, with a decline of 3.1%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 9.6 million (Q1 2026), 9.57 million (Q4 2025) and 9.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 3.07 Bn |
| 10 | Bank7 | 523.47 Mn | 523.47 Mn | - | 9.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.60 Mn |
| Mar 31, 2026 | 9.60 Mn |
| Dec 31, 2025 | 9.57 Mn |
| Sep 30, 2025 | 9.60 Mn |
| Jun 30, 2025 | 9.55 Mn |
| Mar 31, 2025 | 9.55 Mn |
| Dec 31, 2024 | 9.45 Mn |
| Sep 30, 2024 | 9.50 Mn |
| Jun 30, 2024 | 9.37 Mn |
| Mar 31, 2024 | 9.32 Mn |
| Dec 31, 2023 | 9.26 Mn |
| Sep 30, 2023 | 9.27 Mn |
| Jun 30, 2023 | 9.25 Mn |
| Mar 31, 2023 | 9.26 Mn |
| Dec 31, 2022 | 9.20 Mn |
| Sep 30, 2022 | 9.21 Mn |
| Jun 30, 2022 | 9.19 Mn |
| Mar 31, 2022 | 9.18 Mn |
| Dec 31, 2021 | 9.09 Mn |
| Sep 30, 2021 | 9.11 Mn |
Bank7 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=BSVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BSVN", "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=BSVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();