West Bancorporation (WTBA) Tax Provisions (2009 - 2026)
West Bancorporation (WTBA) posted Tax Provisions of $3.53 million for Q3 2026, up 64.8% from $2.14 million a year earlier and up 7.6% from the prior quarter.
West Bancorporation (WTBA) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at West Bancorporation was $11.87 million, up 96.0% year-over-year; for FY2025, it came in at $8.86 million, up 161.1% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, West Bancorporation's Tax Provisions was $3.39 million in FY2024 (-39.9%), $5.65 million in FY2023 (-56.5%), $13 million in FY2022 (-2.3%) and $13.3 million in FY2021 (+53.4%).
- The Q3 2026 figure stands as the highest quarterly Tax Provisions since Q2 2022.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 56.6% over the last six quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 98.7%; the weakest was Q2 2023, with a decline of 67.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $3.28 million (Q2 2026), $2.9 million (Q1 2026) and $2.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | West Bancorporation | 522.56 Mn | 250.14 Mn | - | 3.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.53 Mn |
| Jun 30, 2026 | 3.28 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.14 Mn |
| Jun 30, 2025 | 2.37 Mn |
| Mar 31, 2025 | 2.19 Mn |
| Dec 31, 2024 | -644,000.00 |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.74 Mn |
| Dec 31, 2022 | 2.32 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Jun 30, 2022 | 4.33 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 3.17 Mn |
West Bancorporation Tax Provisions 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=tax-provisions&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();