West Bancorporation (WTBA) Other Operating Expenses (2010 - 2026)
West Bancorporation (WTBA) posted Other Operating Expenses of $1.67 million for Q2 2026, down 2.1% from $1.7 million a year earlier and down 2.4% from the prior quarter.
West Bancorporation (WTBA) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at West Bancorporation was $7.22 million, down 1.6% year-over-year; for FY2025, it came in at $6.94 million, down 0.3% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, West Bancorporation's Other Operating Expenses was $6.96 million in FY2024 (-14.5%), $8.14 million in FY2023 (+18.2%), $6.88 million in FY2022 (-4.7%) and $7.22 million in FY2021 (+22.1%).
- Quarterly Other Operating Expenses has run from a low of $1.18 million in Q4 2021 to a high of $2.74 million in Q4 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 1.3%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2021, with growth of 187.1%; the weakest was Q1 2022, with a decline of 25.5%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $1.71 million (Q1 2026), $2.44 million (Q4 2025) and $1.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | West Bancorporation | 485.92 Mn | 52.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Mn |
| Mar 31, 2026 | 1.71 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.70 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.58 Mn |
| Mar 31, 2024 | 1.54 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Sep 30, 2023 | 1.69 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 1.86 Mn |
| Dec 31, 2022 | 1.99 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.75 Mn |
| Mar 31, 2022 | 1.46 Mn |
| Dec 31, 2021 | 1.18 Mn |
| Sep 30, 2021 | 1.96 Mn |
West Bancorporation Other Operating 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=other-operating-expenses&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();