Virginia National Bankshares (VABK) Operating Expenses (2018 - 2026)
Virginia National Bankshares' Operating Expenses came in at $8.27 million for Q2 2026, down 4.7% from $8.68 million a year earlier but up 0.9% from the prior quarter.
Virginia National Bankshares (VABK) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Virginia National Bankshares reported Operating Expenses of $32.35 million, down 5.5% year-over-year; for FY2025, it came in at $33.38 million, down 0.8% from FY2024.
- Operating Expenses has declined in each of the last four years, though with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $33.67 million in FY2024 (-1.2%), $34.06 million in FY2023 (-11.7%), $38.56 million in FY2022 (-9.3%) and $42.52 million in FY2021 (+126.4%).
- The five-year range for quarterly Operating Expenses is $7.48 million (Q4 2025) to $12.82 million (Q3 2021).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 159.9%), and the weakest in Q2 2022 (a decline of 41.0%).
- Business Quant data shows VABK's Operating Expenses at $8.2 million (Q1 2026), $7.48 million (Q4 2025) and $8.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Virginia National Bankshares | 265.31 Mn | 265.31 Mn | - | 8.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.27 Mn |
| Mar 31, 2026 | 8.20 Mn |
| Dec 31, 2025 | 7.48 Mn |
| Sep 30, 2025 | 8.40 Mn |
| Jun 30, 2025 | 8.68 Mn |
| Mar 31, 2025 | 8.82 Mn |
| Dec 31, 2024 | 8.78 Mn |
| Sep 30, 2024 | 7.94 Mn |
| Jun 30, 2024 | 8.12 Mn |
| Mar 31, 2024 | 8.82 Mn |
| Dec 31, 2023 | 8.30 Mn |
| Sep 30, 2023 | 8.34 Mn |
| Jun 30, 2023 | 8.56 Mn |
| Mar 31, 2023 | 8.86 Mn |
| Dec 31, 2022 | 9.52 Mn |
| Sep 30, 2022 | 9.50 Mn |
| Jun 30, 2022 | 9.44 Mn |
| Mar 31, 2022 | 10.10 Mn |
| Dec 31, 2021 | 8.92 Mn |
| Sep 30, 2021 | 12.82 Mn |
Virginia National Bankshares Operating Expenses 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=operating-expenses&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();