Virginia National Bankshares (VABK) Shares Outstanding (2018 - 2026)
Virginia National Bankshares (VABK) reported Shares Outstanding of 5.42 million for Q2 2026, up 0.6% from 5.39 million a year earlier and up 0.3% from the prior quarter.
Virginia National Bankshares (VABK) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Virginia National Bankshares posted Shares Outstanding of 5.39 million, up 0.3% from FY2024.
- Shares Outstanding has increased for nine consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 5.37 million in FY2024 (+0.3%), 5.36 million in FY2023 (+0.6%), 5.32 million in FY2022 (+14.1%) and 4.67 million in FY2021 (+72.4%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q1 2018.
- Year over year, Shares Outstanding has now increased in each of the last 30 quarters, with growth averaging 0.3% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.1% (Q3 2024) and 95.5% (Q3 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.41 million (Q1 2026), 5.39 million (Q4 2025) and 5.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Virginia National Bankshares | 258.53 Mn | 258.53 Mn | - | 5.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.42 Mn |
| Mar 31, 2026 | 5.41 Mn |
| Dec 31, 2025 | 5.39 Mn |
| Sep 30, 2025 | 5.39 Mn |
| Jun 30, 2025 | 5.39 Mn |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 5.37 Mn |
| Sep 30, 2024 | 5.37 Mn |
| Jun 30, 2024 | 5.38 Mn |
| Mar 31, 2024 | 5.37 Mn |
| Dec 31, 2023 | 5.36 Mn |
| Sep 30, 2023 | 5.37 Mn |
| Jun 30, 2023 | 5.36 Mn |
| Mar 31, 2023 | 5.34 Mn |
| Dec 31, 2022 | 5.32 Mn |
| Sep 30, 2022 | 5.33 Mn |
| Jun 30, 2022 | 5.33 Mn |
| Mar 31, 2022 | 5.31 Mn |
| Dec 31, 2021 | 4.67 Mn |
| Sep 30, 2021 | 5.31 Mn |
Virginia National Bankshares Shares Outstanding 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&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VABK", "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&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();