West Bancorporation (WTBA) Return on Sales [ROS] (2011 - 2026)
West Bancorporation's Return on Sales [ROS] came in at 1830.37% for Q2 2026, down 259.54 percentage points from 2089.92% a year earlier and down 2.79 percentage points from the prior quarter.
West Bancorporation (WTBA) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, West Bancorporation reported Return on Sales [ROS] of 1865.33%, down 162.73 percentage points year-over-year; for FY2025, it was 520.67%, up 109.26 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -447.71 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 411.41% in FY2024 (-24.48 pp), 435.89% in FY2023 (-888.41 pp), 1324.30% in FY2022 (+246.57 pp) and 1077.74% in FY2021 (+109.35 pp).
- The five-year range for quarterly Return on Sales [ROS] is 1041.99% (Q4 2021) to 2130.89% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -38.04 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 531.30 percentage points), and the weakest in Q2 2026 (a drop of 259.54 percentage points).
- Business Quant data shows WTBA's Return on Sales [ROS] at 1833.17% (Q1 2026), 1773.38% (Q4 2025) and 2034.26% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | West Bancorporation | 492.22 Mn | 58.52 Mn | - | 1,830.37% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,830.37% |
| Mar 31, 2026 | 1,833.17% |
| Dec 31, 2025 | 1,773.38% |
| Sep 30, 2025 | 2,034.26% |
| Jun 30, 2025 | 2,089.92% |
| Mar 31, 2025 | 2,084.77% |
| Dec 31, 2024 | 1,832.01% |
| Sep 30, 2024 | 2,130.89% |
| Jun 30, 2024 | 2,103.09% |
| Mar 31, 2024 | 2,066.17% |
| Dec 31, 2023 | 1,828.18% |
| Sep 30, 2023 | 1,778.03% |
| Jun 30, 2023 | 1,703.49% |
| Mar 31, 2023 | 1,696.80% |
| Dec 31, 2022 | 1,565.49% |
| Sep 30, 2022 | 1,310.05% |
| Jun 30, 2022 | 1,263.65% |
| Mar 31, 2022 | 1,165.50% |
| Dec 31, 2021 | 1,041.99% |
| Sep 30, 2021 | 1,080.83% |
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_KEYimport 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();