West Bancorporation (WTBA) Subordinated Debt (2009 - 2026)
West Bancorporation (WTBA) reported Subordinated Debt of $80.35 million for Q3 2026, up 0.3% from $80.09 million a year earlier and up 0.1% from the prior quarter.
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Analysis
West Bancorporation (WTBA) Subordinated Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, West Bancorporation posted Subordinated Debt of $80.16 million, up 0.3% from FY2024.
- Subordinated Debt has increased for ten consecutive years, with a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- By year, Subordinated Debt came in at $79.89 million in FY2024 (+0.3%), $79.63 million in FY2023 (+0.3%), $79.37 million in FY2022 (+287.8%) and $20.47 million in FY2021 (+0.1%).
- The Q3 2026 figure ranks as the highest quarterly Subordinated Debt in data going back to Q4 2010.
- Year over year, Subordinated Debt has now increased in each of the last 40 quarters, with growth averaging 0.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Subordinated Debt ranged from 0.1% (Q1 2022) to 288.1% (Q1 2023).
- Per Business Quant data, the three quarters before Q3 2026 came in at $80.29 million (Q2 2026), $80.22 million (Q1 2026) and $80.16 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 | West Bancorporation | 522.56 Mn | 250.14 Mn | - | 80.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.35 Mn |
| Jun 30, 2026 | 80.29 Mn |
| Mar 31, 2026 | 80.22 Mn |
| Dec 31, 2025 | 80.16 Mn |
| Sep 30, 2025 | 80.09 Mn |
| Jun 30, 2025 | 80.02 Mn |
| Mar 31, 2025 | 79.96 Mn |
| Dec 31, 2024 | 79.89 Mn |
| Sep 30, 2024 | 79.83 Mn |
| Jun 30, 2024 | 79.76 Mn |
| Mar 31, 2024 | 79.70 Mn |
| Dec 31, 2023 | 79.63 Mn |
| Sep 30, 2023 | 79.57 Mn |
| Jun 30, 2023 | 79.50 Mn |
| Mar 31, 2023 | 79.44 Mn |
| Dec 31, 2022 | 79.37 Mn |
| Sep 30, 2022 | 79.30 Mn |
| Jun 30, 2022 | 79.27 Mn |
| Mar 31, 2022 | 20.47 Mn |
| Dec 31, 2021 | 20.47 Mn |
API Access
West Bancorporation 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=WTBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "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=subordinated-debt&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();