BankUnited (BKU) Return on Sales [ROS] (2010 - 2026)
BankUnited's Return on Sales [ROS] came in at 4208.27% for Q2 2026, down 1457.03 percentage points from 5665.30% a year earlier but up 108.95 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 4620.73%, down 1484.32 percentage points year-over-year; for FY2025, it was 5369.77%, down 1192.07 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1943.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 6561.85% in FY2024 (+722.08 pp), 5839.76% in FY2023 (+2762.81 pp), 3076.96% in FY2022 (+249.45 pp) and 2827.51% in FY2021 (-598.84 pp).
- The five-year range for quarterly Return on Sales [ROS] is 1640.40% (Q4 2021) to 6806.50% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -761.86 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 4144.59 percentage points), and the weakest in Q4 2021 (a drop of 1964.75 percentage points).
- Business Quant data shows BKU's Return on Sales [ROS] at 4099.32% (Q1 2026), 4735.29% (Q4 2025) and 5582.74% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | BankUnited | 3.14 Bn | 1.61 Bn | - | 4,208.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,208.27% |
| Mar 31, 2026 | 4,099.32% |
| Dec 31, 2025 | 4,735.29% |
| Sep 30, 2025 | 5,582.74% |
| Jun 30, 2025 | 5,665.30% |
| Mar 31, 2025 | 5,551.52% |
| Dec 31, 2024 | 6,449.88% |
| Sep 30, 2024 | 6,806.50% |
| Jun 30, 2024 | 6,727.22% |
| Mar 31, 2024 | 6,283.19% |
| Dec 31, 2023 | 5,579.33% |
| Sep 30, 2023 | 6,130.74% |
| Jun 30, 2023 | 6,332.94% |
| Mar 31, 2023 | 5,128.64% |
| Dec 31, 2022 | 5,233.46% |
| Sep 30, 2022 | 3,418.06% |
| Jun 30, 2022 | 2,188.35% |
| Mar 31, 2022 | 1,948.17% |
| Dec 31, 2021 | 1,640.40% |
| Sep 30, 2021 | 2,766.49% |
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();