Virginia National Bankshares (VABK) Amortizatization of Intangibles (2018 - 2026)
Virginia National Bankshares (VABK) recorded Amortizatization of Intangibles of $236,000 in Q2 2026, down 16.9% from $284,000 a year earlier and down 4.5% from the prior quarter.
Virginia National Bankshares (VABK) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
On a TTM basis, Virginia National Bankshares' Amortizatization of Intangibles came in at $1.01 million as of Jun 30, 2026, down 15.9% year-over-year; for FY2025, it came in at $1.11 million, down 14.7% from FY2024.
- Annual Amortizatization of Intangibles has declined for three straight years, though with a five-year compound annual growth rate of 65.3% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $1.3 million in FY2024 (-13.3%), $1.5 million in FY2023 (-14.1%), $1.75 million in FY2022 (+16.4%) and $1.5 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles since Q1 2021.
- On a year-over-year basis, Amortizatization of Intangibles has declined for 17 consecutive quarters, with an average decline of 15.1% over the last eight quarters.
- The year-over-year decline in Amortizatization of Intangibles has ranged between 0.2% (Q2 2022) and 31.5% (Q4 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $247,000 (Q1 2026), $260,000 (Q4 2025) and $271,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Virginia National Bankshares | 255.27 Mn | 255.27 Mn | - | 236,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236,000.00 |
| Mar 31, 2026 | 247,000.00 |
| Dec 31, 2025 | 260,000.00 |
| Sep 30, 2025 | 271,000.00 |
| Jun 30, 2025 | 284,000.00 |
| Mar 31, 2025 | 295,000.00 |
| Dec 31, 2024 | 307,000.00 |
| Sep 30, 2024 | 319,000.00 |
| Jun 30, 2024 | 332,000.00 |
| Mar 31, 2024 | 343,000.00 |
| Dec 31, 2023 | 362,000.00 |
| Sep 30, 2023 | 368,000.00 |
| Jun 30, 2023 | 379,000.00 |
| Mar 31, 2023 | 391,000.00 |
| Dec 31, 2022 | 414,000.00 |
| Sep 30, 2022 | 391,000.00 |
| Jun 30, 2022 | 444,000.00 |
| Mar 31, 2022 | 456,000.00 |
| Dec 31, 2021 | 604,000.00 |
| Sep 30, 2021 | 434,000.00 |
Virginia National Bankshares Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=VABK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();