West Bancorporation (WTBA) Interest Expenses (2010 - 2026)
West Bancorporation (WTBA) recorded Interest Expenses of $22.95 million in Q2 2026, down 13.5% from $26.54 million a year earlier and down 0.2% from the prior quarter.
West Bancorporation (WTBA) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, West Bancorporation's Interest Expenses came in at $97.38 million as of Jun 30, 2026, down 13.3% year-over-year; for FY2025, it was $103.24 million, down 13.0% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $118.7 million in FY2024 (+30.1%), $91.27 million in FY2023 (+188.8%), $31.61 million in FY2022 (+158.6%) and $12.22 million in FY2021 (-29.8%).
- The Q2 2026 figure is the lowest quarterly Interest Expenses since Q2 2023.
- On a year-over-year basis, Interest Expenses has declined for six consecutive quarters, with an average decline of 4.4% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 462.3% in Q1 2023, against a decline of 16.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.01 million (Q1 2026), $25 million (Q4 2025) and $26.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 10.97 Bn |
| 10 | West Bancorporation | 487.11 Mn | 53.41 Mn | - | 22.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.95 Mn |
| Mar 31, 2026 | 23.01 Mn |
| Dec 31, 2025 | 25.00 Mn |
| Sep 30, 2025 | 26.42 Mn |
| Jun 30, 2025 | 26.54 Mn |
| Mar 31, 2025 | 25.28 Mn |
| Dec 31, 2024 | 29.89 Mn |
| Sep 30, 2024 | 30.65 Mn |
| Jun 30, 2024 | 30.34 Mn |
| Mar 31, 2024 | 27.82 Mn |
| Dec 31, 2023 | 26.32 Mn |
| Sep 30, 2023 | 24.46 Mn |
| Jun 30, 2023 | 22.01 Mn |
| Mar 31, 2023 | 18.48 Mn |
| Dec 31, 2022 | 14.50 Mn |
| Sep 30, 2022 | 9.17 Mn |
| Jun 30, 2022 | 4.66 Mn |
| Mar 31, 2022 | 3.29 Mn |
| Dec 31, 2021 | 3.06 Mn |
| Sep 30, 2021 | 3.00 Mn |
West Bancorporation Interest Expenses 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=interest-expenses&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();