Virginia National Bankshares (VABK) Securities - Tradable (2018 - 2026)
Virginia National Bankshares (VABK) recorded Securities - Tradable of $234.77 million in Q2 2026, down 7.9% from $254.91 million a year earlier and down 2.4% from the prior quarter.
Virginia National Bankshares (VABK) Securities - Tradable (2018 - 2026) Analysis & Trends
At the end of FY2025, Virginia National Bankshares reported Securities - Tradable of $247.99 million, down 5.9% from FY2024.
- Annual Securities - Tradable has declined for three straight years, though with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Securities - Tradable came in at $263.54 million in FY2024 (-37.3%), $420.6 million in FY2023 (-21.8%), $538.19 million in FY2022 (+77.1%) and $303.82 million in FY2021 (+74.5%).
- The Q2 2026 figure is the lowest quarterly Securities - Tradable since Q1 2021.
- On a year-over-year basis, Securities - Tradable has declined for 12 consecutive quarters, with an average decline of 16.4% over the last eight quarters.
- Peak year-over-year performance for Securities - Tradable in the last five years was growth of 97.2% in Q1 2022, against a decline of 39.9% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $240.42 million (Q1 2026), $247.99 million (Q4 2025) and $252.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Virginia National Bankshares | 265.31 Mn | 265.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.77 Mn |
| Mar 31, 2026 | 240.42 Mn |
| Dec 31, 2025 | 247.99 Mn |
| Sep 30, 2025 | 252.95 Mn |
| Jun 30, 2025 | 254.91 Mn |
| Mar 31, 2025 | 262.92 Mn |
| Dec 31, 2024 | 263.54 Mn |
| Sep 30, 2024 | 279.32 Mn |
| Jun 30, 2024 | 284.70 Mn |
| Mar 31, 2024 | 341.86 Mn |
| Dec 31, 2023 | 420.60 Mn |
| Sep 30, 2023 | 390.82 Mn |
| Jun 30, 2023 | 473.87 Mn |
| Mar 31, 2023 | 492.76 Mn |
| Dec 31, 2022 | 538.19 Mn |
| Sep 30, 2022 | 538.46 Mn |
| Jun 30, 2022 | 461.83 Mn |
| Mar 31, 2022 | 341.36 Mn |
| Dec 31, 2021 | 303.82 Mn |
| Sep 30, 2021 | 277.05 Mn |
Virginia National Bankshares Securities - Tradable 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=securities-tradable&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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=securities-tradable&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();