Virginia National Bankshares (VABK) Subordinated Debt (2021 - 2026)
Virginia National Bankshares' Subordinated Debt was $3.59 million in Q3 2026, up 1.4% from $3.54 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Virginia National Bankshares (VABK) Subordinated Debt (2021 - 2026) Analysis & Trends
At the end of FY2025, Subordinated Debt at Virginia National Bankshares came in at $3.55 million, up 1.4% from FY2024.
- Subordinated Debt has now increased for four consecutive years, with a four-year compound annual growth rate of 1.1% (FY2021 to FY2025).
- In earlier years, Subordinated Debt was $3.51 million in FY2024 (+0.2%), $3.5 million in FY2023 (+2.5%), $3.41 million in FY2022 (+0.4%) and $3.4 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Subordinated Debt in data going back to Q2 2021.
- Compared with a year earlier, Subordinated Debt has increased for 18 straight quarters, with growth averaging 1.2% over the last eight quarters.
- The year-over-year growth in Subordinated Debt has ranged between 0.2% (Q4 2024) and 2.5% (Q4 2023) over the last five years.
- Per Business Quant data, VABK's Subordinated Debt in the three quarters before Q3 2026 was $3.58 million (Q2 2026), $3.57 million (Q1 2026) and $3.55 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Subordinated Debt (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 | - | 9.69 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | -626.05 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 | - | 3.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.59 Mn |
| Jun 30, 2026 | 3.58 Mn |
| Mar 31, 2026 | 3.57 Mn |
| Dec 31, 2025 | 3.55 Mn |
| Sep 30, 2025 | 3.54 Mn |
| Jun 30, 2025 | 3.53 Mn |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 3.51 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 3.47 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 3.45 Mn |
| Jun 30, 2023 | 3.44 Mn |
| Mar 31, 2023 | 3.42 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 3.40 Mn |
| Jun 30, 2022 | 3.39 Mn |
| Mar 31, 2022 | 3.38 Mn |
| Dec 31, 2021 | 3.40 Mn |
API Access
Virginia National Bankshares Subordinated Debt 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=subordinated-debt&ticker=VABK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "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=subordinated-debt&ticker=VABK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();