West Bancorporation (WTBA) Return on Sales [ROS] (2009 - 2026)
West Bancorporation's Return on Sales [ROS] came in at 132.67% for Q2 2026, down 22.13 percentage points from 154.80% a year earlier and down 2.75 percentage points from the prior quarter.
West Bancorporation (WTBA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, West Bancorporation reported Return on Sales [ROS] of 141.47%, down 24.97 percentage points year-over-year; for FY2025, it was 39.75%, up 2.57 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -23.84 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 37.18% in FY2024 (-0.88 pp), 38.06% in FY2023 (-51.20 pp), 89.27% in FY2022 (+17.57 pp) and 71.70% in FY2021 (+8.10 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2023.
- Year-over-year, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -17.72 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 72.22 percentage points), and the weakest in Q3 2025 (a drop of 35.92 percentage points).
- Business Quant data shows WTBA's Return on Sales [ROS] at 135.42% (Q1 2026), 148.33% (Q4 2025) and 151.49% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | West Bancorporation | 522.56 Mn | 250.14 Mn | - | 130.44% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 130.44% |
| Jun 30, 2026 | 132.67% |
| Mar 31, 2026 | 135.42% |
| Dec 31, 2025 | 148.33% |
| Sep 30, 2025 | 151.49% |
| Jun 30, 2025 | 154.80% |
| Mar 31, 2025 | 152.90% |
| Dec 31, 2024 | 174.31% |
| Sep 30, 2024 | 187.41% |
| Jun 30, 2024 | 187.58% |
| Mar 31, 2024 | 183.74% |
| Dec 31, 2023 | 174.82% |
| Sep 30, 2023 | 163.49% |
| Jun 30, 2023 | 148.33% |
| Mar 31, 2023 | 129.62% |
| Dec 31, 2022 | 112.36% |
| Sep 30, 2022 | 91.27% |
| Jun 30, 2022 | 81.68% |
| Mar 31, 2022 | 74.73% |
| Dec 31, 2021 | 67.31% |
West Bancorporation Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WTBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WTBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();