West Bancorporation (WTBA) Retained Earnings (2010 - 2026)
West Bancorporation's Retained Earnings came in at $307.41 million for Q2 2026, up 7.5% from $285.99 million a year earlier and up 2.3% from the prior quarter.
West Bancorporation (WTBA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, West Bancorporation's Retained Earnings was $294.26 million, up 5.6% from FY2024.
- Retained Earnings has increased in each of the last 15 years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $278.61 million in FY2024 (+2.7%), $271.37 million in FY2023 (+1.4%), $267.56 million in FY2022 (+12.5%) and $237.78 million in FY2021 (+16.7%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 57 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 1.4% (Q4 2023) to 16.7% (Q4 2021).
- Business Quant data shows WTBA's Retained Earnings at $300.6 million (Q1 2026), $294.26 million (Q4 2025) and $291.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | West Bancorporation | 487.11 Mn | 53.41 Mn | - | 307.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.41 Mn |
| Mar 31, 2026 | 300.60 Mn |
| Dec 31, 2025 | 294.26 Mn |
| Sep 30, 2025 | 291.07 Mn |
| Jun 30, 2025 | 285.99 Mn |
| Mar 31, 2025 | 282.25 Mn |
| Dec 31, 2024 | 278.61 Mn |
| Sep 30, 2024 | 275.72 Mn |
| Jun 30, 2024 | 273.98 Mn |
| Mar 31, 2024 | 273.00 Mn |
| Dec 31, 2023 | 271.37 Mn |
| Sep 30, 2023 | 271.03 Mn |
| Jun 30, 2023 | 269.30 Mn |
| Mar 31, 2023 | 267.62 Mn |
| Dec 31, 2022 | 267.56 Mn |
| Sep 30, 2022 | 262.78 Mn |
| Jun 30, 2022 | 255.33 Mn |
| Mar 31, 2022 | 246.83 Mn |
| Dec 31, 2021 | 237.78 Mn |
| Sep 30, 2021 | 229.85 Mn |
West Bancorporation Retained Earnings 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=retained-earnings&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();