Customers Bancorp (CUBI) Return on Sales [ROS] (2010 - 2026)
Customers Bancorp (CUBI) reported Return on Sales [ROS] of 105.86% for Q2 2026, down 5.72 percentage points from 111.58% a year earlier but up 1.61 percentage points from the prior quarter.
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Analysis
Customers Bancorp (CUBI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Customers Bancorp's Return on Sales [ROS] came in at 106.71%, down 11.32 percentage points year-over-year; for FY2025, it was 109.68%, down 15.91 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +39.23 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 125.60% in FY2024 (-7.73 pp), 133.33% in FY2023 (+49.04 pp), 84.29% in FY2022 (+13.90 pp) and 70.39% in FY2021 (-0.07 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 61.39% in Q2 2022 and a high of 138.87% in Q1 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last ten quarters, with an average year-over-year change of -11.57 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 77.08 percentage points); the low point was Q3 2025 (a drop of 19.43 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 104.25% (Q1 2026), 104.69% (Q4 2025) and 111.98% (Q3 2025).
Peer Set
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 | Customers Bancorp | 2.84 Bn | -14.17 Bn | - | 109.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.96% |
| Jun 30, 2026 | 105.86% |
| Mar 31, 2026 | 0.91% |
| Dec 31, 2025 | 1.00% |
| Sep 30, 2025 | 1.07% |
| Jun 30, 2025 | 111.58% |
| Mar 31, 2025 | 111.47% |
| Dec 31, 2024 | 118.23% |
| Sep 30, 2024 | 131.41% |
| Jun 30, 2024 | 122.55% |
| Mar 31, 2024 | 130.37% |
| Dec 31, 2023 | 134.59% |
| Sep 30, 2023 | 131.83% |
| Jun 30, 2023 | 128.67% |
| Mar 31, 2023 | 138.87% |
| Dec 31, 2022 | 119.56% |
| Sep 30, 2022 | 105.79% |
| Jun 30, 2022 | 61.39% |
| Mar 31, 2022 | 61.79% |
| Dec 31, 2021 | 64.36% |
API Access
Customers Bancorp 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=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CUBI", "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=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();