West Bancorporation (WTBA) Total Liabilities (2009 - 2026)
West Bancorporation (WTBA) posted Total Liabilities of $3.75 billion for Q2 2026, down 1.8% from $3.82 billion a year earlier but up 0.2% from the prior quarter.
West Bancorporation (WTBA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, West Bancorporation's Total Liabilities came in at $3.88 billion, up 2.4% from FY2024.
- Annual Total Liabilities has increased for 14 consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, West Bancorporation's Total Liabilities was $3.79 billion in FY2024 (+5.2%), $3.6 billion in FY2023 (+5.8%), $3.4 billion in FY2022 (+5.0%) and $3.24 billion in FY2021 (+9.4%).
- Quarterly Total Liabilities has run from a low of $3 billion in Q3 2021 to a high of $3.88 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 1.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 17.1%; the weakest was Q2 2026, with a decline of 1.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $3.74 billion (Q1 2026), $3.88 billion (Q4 2025) and $3.73 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | West Bancorporation | 522.56 Mn | 250.14 Mn | - | 3.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.62 Bn |
| Jun 30, 2026 | 3.75 Bn |
| Mar 31, 2026 | 3.74 Bn |
| Dec 31, 2025 | 3.88 Bn |
| Sep 30, 2025 | 3.73 Bn |
| Jun 30, 2025 | 3.82 Bn |
| Mar 31, 2025 | 3.75 Bn |
| Dec 31, 2024 | 3.79 Bn |
| Sep 30, 2024 | 3.75 Bn |
| Jun 30, 2024 | 3.74 Bn |
| Mar 31, 2024 | 3.74 Bn |
| Dec 31, 2023 | 3.60 Bn |
| Sep 30, 2023 | 3.50 Bn |
| Jun 30, 2023 | 3.46 Bn |
| Mar 31, 2023 | 3.41 Bn |
| Dec 31, 2022 | 3.40 Bn |
| Sep 30, 2022 | 3.32 Bn |
| Jun 30, 2022 | 3.26 Bn |
| Mar 31, 2022 | 3.31 Bn |
| Dec 31, 2021 | 3.24 Bn |
West Bancorporation Total 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-liabilities&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "WTBA", "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-liabilities&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();