Customers Bancorp (CUBI) Return on Sales [ROS] (2011 - 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.
Customers Bancorp (CUBI) Return on Sales [ROS] (2011 - 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 declined for three consecutive years, with a five-year change of -709.78 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 (-13373.02 pp), 13506.35% in FY2022 (+440.22 pp) and 13066.13% in FY2021 (+12246.68 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 104.25% in Q1 2026 and a high of 16555.59% in Q4 2022.
- Year over year, Return on Sales [ROS] has now declined in each of the last 14 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 Q3 2021 (a gain of 15199.12 percentage points); the low point was Q4 2023 (a drop of 16421.00 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 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 | Customers Bancorp | 2.50 Bn | -15.07 Bn | - | 105.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.86% |
| Mar 31, 2026 | 104.25% |
| Dec 31, 2025 | 104.69% |
| Sep 30, 2025 | 111.98% |
| 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 | 16,555.59% |
| Sep 30, 2022 | 14,957.12% |
| Jun 30, 2022 | 11,035.22% |
| Mar 31, 2022 | 11,306.10% |
| Dec 31, 2021 | 12,215.32% |
| Sep 30, 2021 | 16,273.35% |
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_KEY
import 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();