Virginia National Bankshares (VABK) Professional Fees (2019 - 2026)
Virginia National Bankshares' Professional Fees came in at $292,000 for Q3 2026, up 14.1% from $256,000 a year earlier but down 12.3% from the prior quarter.
Virginia National Bankshares (VABK) Professional Fees (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Virginia National Bankshares reported Professional Fees of $1.28 million, up 15.4% year-over-year; for FY2025, it came in at $1.15 million, up 28.2% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Professional Fees was $894,000 in FY2024 (+32.6%), $674,000 in FY2023 (-50.3%), $1.36 million in FY2022 (+21.5%) and $1.12 million in FY2021 (+54.5%).
- The five-year range for quarterly Professional Fees is $82,000 (Q4 2023) to $404,000 (Q2 2022).
- Year-over-year, Professional Fees has increased for eight consecutive quarters, with growth averaging 49.7% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in Q4 2024 (growth of 220.7%), and the weakest in Q4 2023 (a decline of 73.2%).
- Business Quant data shows VABK's Professional Fees at $333,000 (Q2 2026), $348,000 (Q1 2026) and $303,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Virginia National Bankshares | 289.18 Mn | 289.18 Mn | - | 292,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 292,000.00 |
| Jun 30, 2026 | 333,000.00 |
| Mar 31, 2026 | 348,000.00 |
| Dec 31, 2025 | 303,000.00 |
| Sep 30, 2025 | 256,000.00 |
| Jun 30, 2025 | 331,000.00 |
| Mar 31, 2025 | 256,000.00 |
| Dec 31, 2024 | 263,000.00 |
| Sep 30, 2024 | 189,000.00 |
| Jun 30, 2024 | 190,000.00 |
| Mar 31, 2024 | 252,000.00 |
| Dec 31, 2023 | 82,000.00 |
| Sep 30, 2023 | 202,000.00 |
| Jun 30, 2023 | 198,000.00 |
| Mar 31, 2023 | 192,000.00 |
| Dec 31, 2022 | 306,000.00 |
| Sep 30, 2022 | 310,000.00 |
| Jun 30, 2022 | 404,000.00 |
| Mar 31, 2022 | 337,000.00 |
| Dec 31, 2021 | 244,000.00 |
Virginia National Bankshares Professional Fees 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=professional-fees&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();