West Bancorporation (WTBA) Change in Net Loans (2011 - 2026)
West Bancorporation (WTBA) posted Change in Net Loans of -$41.53 million for Q2 2026, compared with -$50.13 million a year earlier.
West Bancorporation (WTBA) Change in Net Loans (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Net Loans at West Bancorporation was -$4.75 million; for FY2025, it was $8.22 million, down 89.4% from FY2024.
- Annual Change in Net Loans has declined for three consecutive years, with a five-year compound annual growth rate of -52.6% (FY2020 to FY2025).
- In prior years, West Bancorporation's Change in Net Loans was $77.24 million in FY2024 (-58.2%), $184.79 million in FY2023 (-35.6%), $287.03 million in FY2022 (+63.8%) and $175.19 million in FY2021 (-48.8%).
- Quarterly Change in Net Loans has run from a low of -$50.13 million in Q2 2025 to a high of $128.64 million in Q4 2022 over five years.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q1 2024, with growth of 294.1%; the weakest was Q1 2025, with a decline of 78.1%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was -$10.05 million (Q1 2026), $4.28 million (Q4 2025) and $42.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | West Bancorporation | 485.92 Mn | 52.22 Mn | - | -41.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.53 Mn |
| Mar 31, 2026 | -10.05 Mn |
| Dec 31, 2025 | 4.28 Mn |
| Sep 30, 2025 | 42.56 Mn |
| Jun 30, 2025 | -50.13 Mn |
| Mar 31, 2025 | 11.52 Mn |
| Dec 31, 2024 | -16.37 Mn |
| Sep 30, 2024 | 22.45 Mn |
| Jun 30, 2024 | 18.59 Mn |
| Mar 31, 2024 | 52.57 Mn |
| Dec 31, 2023 | 77.86 Mn |
| Sep 30, 2023 | 42.69 Mn |
| Jun 30, 2023 | 50.89 Mn |
| Mar 31, 2023 | 13.34 Mn |
| Dec 31, 2022 | 128.64 Mn |
| Sep 30, 2022 | 41.03 Mn |
| Jun 30, 2022 | 88.20 Mn |
| Mar 31, 2022 | 29.16 Mn |
| Dec 31, 2021 | 96.36 Mn |
| Sep 30, 2021 | 49.98 Mn |
West Bancorporation Change in Net Loans 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=change-in-net-loans&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();