Bank7 (BSVN) Total Non-Current Liabilities (2017 - 2025)
Bank7's Total Non-Current Liabilities was $1.71 billion in Q4 2025, up 12.2% from $1.53 billion a year earlier.
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Analysis
Bank7 (BSVN) Total Non-Current Liabilities (2017 - 2025) Analysis & Trends
From Q4 2017 onward, Bank7 has reported Total Non-Current Liabilities for 9 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.53 billion in FY2024 (-4.7%), $1.6 billion in FY2023 (+11.2%), $1.44 billion in FY2022 (+17.8%) and $1.22 billion in FY2021 (+34.5%).
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Bank7 | 519.09 Mn | 519.09 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 1.53 Bn |
| Dec 31, 2023 | 1.60 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 1.22 Bn |
| Dec 31, 2020 | 909.09 Mn |
| Dec 31, 2019 | 760.98 Mn |
| Dec 31, 2018 | 681.79 Mn |
| Dec 31, 2017 | 634.40 Mn |
API Access
Bank7 Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BSVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BSVN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=BSVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();