BankUnited (BKU) Return on Sales [ROS] (2010 - 2026)
BankUnited's Return on Sales [ROS] came in at 93.31% for Q2 2026, down 16.77 percentage points from 110.09% a year earlier but up 0.17 percentage points from the prior quarter.
BankUnited (BKU) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BankUnited reported Return on Sales [ROS] of 97.60%, down 21.86 percentage points year-over-year; for FY2025, it was 106.75%, down 24.22 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +42.88 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 130.96% in FY2024 (+3.87 pp), 127.09% in FY2023 (+57.17 pp), 69.92% in FY2022 (+3.98 pp) and 65.94% in FY2021 (+2.07 pp).
- The five-year range for quarterly Return on Sales [ROS] is 37.91% (Q4 2021) to 138.10% (Q1 2024).
- Year-over-year, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -16.81 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 83.09 percentage points), and the weakest in Q4 2021 (a drop of 34.13 percentage points).
- Business Quant data shows BKU's Return on Sales [ROS] at 93.15% (Q1 2026), 95.08% (Q4 2025) and 109.09% (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 | BankUnited | 3.10 Bn | -35.29 Bn | - | 94.96% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 94.96% |
| Jun 30, 2026 | 93.31% |
| Mar 31, 2026 | 93.15% |
| Dec 31, 2025 | 95.08% |
| Sep 30, 2025 | 109.09% |
| Jun 30, 2025 | 110.09% |
| Mar 31, 2025 | 113.79% |
| Dec 31, 2024 | 121.65% |
| Sep 30, 2024 | 132.84% |
| Jun 30, 2024 | 131.99% |
| Mar 31, 2024 | 138.10% |
| Dec 31, 2023 | 123.85% |
| Sep 30, 2023 | 131.15% |
| Jun 30, 2023 | 137.10% |
| Mar 31, 2023 | 116.36% |
| Dec 31, 2022 | 89.01% |
| Sep 30, 2022 | 80.06% |
| Jun 30, 2022 | 54.02% |
| Mar 31, 2022 | 52.08% |
| Dec 31, 2021 | 37.91% |
BankUnited 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=BKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BKU", "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=BKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();