West Bancorporation (WTBA) Shares Outstanding (Diluted) (2010 - 2026)
West Bancorporation's Shares Outstanding (Diluted) came in at 17.2 million for Q2 2026, up 1.1% from 17.01 million a year earlier but down 0.1% from the prior quarter.
West Bancorporation (WTBA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, West Bancorporation's Shares Outstanding (Diluted) was 17 million, up 0.6% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 16.9 million in FY2024 (+0.9%), 16.75 million in FY2023 (-0.3%), 16.8 million in FY2022 (+0.1%) and 16.79 million in FY2021 (+1.7%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 16.75 million (Q4 2023) to 17.21 million (Q1 2026).
- Year-over-year, Shares Outstanding (Diluted) has increased for nine consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2021 (growth of 1.7%), and the weakest in Q4 2023 (a decline of 0.3%).
- Business Quant data shows WTBA's Shares Outstanding (Diluted) at 17.21 million (Q1 2026), 17 million (Q4 2025) and 17.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | West Bancorporation | 485.92 Mn | 52.22 Mn | - | 17.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.20 Mn |
| Mar 31, 2026 | 17.21 Mn |
| Dec 31, 2025 | 17.00 Mn |
| Sep 30, 2025 | 17.02 Mn |
| Jun 30, 2025 | 17.01 Mn |
| Mar 31, 2025 | 17.07 Mn |
| Dec 31, 2024 | 16.90 Mn |
| Sep 30, 2024 | 16.92 Mn |
| Jun 30, 2024 | 16.85 Mn |
| Mar 31, 2024 | 16.79 Mn |
| Dec 31, 2023 | 16.75 Mn |
| Sep 30, 2023 | 16.77 Mn |
| Jun 30, 2023 | 16.76 Mn |
| Mar 31, 2023 | 16.81 Mn |
| Dec 31, 2022 | 16.80 Mn |
| Sep 30, 2022 | 16.79 Mn |
| Jun 30, 2022 | 16.78 Mn |
| Mar 31, 2022 | 16.84 Mn |
| Dec 31, 2021 | 16.79 Mn |
| Sep 30, 2021 | 16.80 Mn |
West Bancorporation Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();