Virginia National Bankshares (VABK) Occupancy Expense (2013 - 2026)
Virginia National Bankshares (VABK) posted Occupancy Expense of $808,000 for Q3 2026, down 7.3% from $872,000 a year earlier but up 12.2% from the prior quarter.
Virginia National Bankshares (VABK) Occupancy Expense (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Occupancy Expense at Virginia National Bankshares was $3.05 million, down 17.3% year-over-year; for FY2025, it was $3.52 million, down 4.0% from FY2024.
- Annual Occupancy Expense has declined for three consecutive years, though with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Virginia National Bankshares' Occupancy Expense was $3.66 million in FY2024 (-8.8%), $4.02 million in FY2023 (-11.2%), $4.53 million in FY2022 (+26.6%) and $3.58 million in FY2021 (+87.4%).
- Quarterly Occupancy Expense has run from a low of $720,000 in Q2 2026 to a high of $1.32 million in Q3 2022 over five years.
- On a year-over-year basis, Occupancy Expense has declined in each of the last five quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q1 2022, with growth of 141.8%; the weakest was Q2 2023, with a decline of 27.5%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $720,000 (Q2 2026), $779,000 (Q1 2026) and $739,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Virginia National Bankshares | 289.18 Mn | 289.18 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 808,000.00 |
| Jun 30, 2026 | 720,000.00 |
| Mar 31, 2026 | 779,000.00 |
| Dec 31, 2025 | 739,000.00 |
| Sep 30, 2025 | 872,000.00 |
| Jun 30, 2025 | 889,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 906,000.00 |
| Sep 30, 2024 | 919,000.00 |
| Jun 30, 2024 | 865,000.00 |
| Mar 31, 2024 | 972,000.00 |
| Dec 31, 2023 | 918,000.00 |
| Sep 30, 2023 | 991,000.00 |
| Jun 30, 2023 | 929,000.00 |
| Mar 31, 2023 | 1.18 Mn |
| Dec 31, 2022 | 729,000.00 |
| Sep 30, 2022 | 1.32 Mn |
| Jun 30, 2022 | 1.28 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 932,000.00 |
Virginia National Bankshares Occupancy Expense 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=occupancy-expense&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();